social-media-posting

name	social-media-posting
description	Cross-platform social media content creation, posting, and engagement skill. Covers Instagram, LinkedIn, X/Twitter, Threads, YouTube, TikTok, Reddit, dev.to, Facebook, Discord, and Telegram. Handles AI image generation (Nano Banana Pro with 3 options per image at correct aspect ratios), AI video generation (Veo 3.1), carousel creation, platform-specific posting flows, deduplication against recent posts, strategic content planning (hook formulas, psychological angles, content pillars), brand context integration, proof screenshot creation for virality, and daily engagement (replying to 10 threads per platform). Use this skill whenever the user wants to post content to social media, create social media visuals, schedule posts, engage with followers, grow their audience, reply to threads, or manage any social media activity. Also activate when the user mentions any social platform by name, says 'post this', 'share on social', 'engage', 'reply to threads', 'publish a post about', 'social media blast', 'cross-post this', 'announce on social', 'spread the word', 'promote this on', 'quick post', 'post with video', 'create social content for', 'repost across socials', or references content distribution.
metadata	{"tags":"social-media, instagram, linkedin, twitter, threads, youtube, tiktok, reddit, discord, telegram, posting, engagement, automation, image-generation, content-creation, copywriting, publishing, video-generation, veo"}

Social Media Posting & Engagement

Primary goal: go viral, grow followers, and promote the user's products and personal brand.

Every post is an opportunity to attract new followers, build brand authority, and drive awareness of the user's products. Content that delivers value or tells a compelling story while naturally weaving in the brand is the highest-leverage output. Engagement, reach, and follower growth are the metrics that matter — optimize for them, not just for "posting something".

Post content across all major platforms with AI-generated visuals, strategic content planning, mandatory human approval, and daily engagement to grow your audience.

---

Before Starting

Before writing any content, gather context:

1. Check for a product/brand context file. Look for product-marketing-context.md in the project's .claude/ directory first, then the project root. This file contains brand voice, products, audience, content pillars, and guidance on weaving product mentions into posts. If it exists, read it -- every post should be informed by this context. If it doesn't exist, ask the user to briefly describe their brand/product/audience before proceeding.

2. Check for a config file. Look for a config.json in the skill directory or project. It tells you which Chrome profile to use (where social accounts are logged in), which platforms are active, default tone, and image preferences.

3. Check published articles / reference material. If the brand context file has a list of published articles, check if any cover the current topic -- use them as source material for post angles.

4. Ensure image generation is available. This skill uses the nano-banana-pro skill (Gemini image generation) for AI images. Check that GEMINI_API_KEY is set. If not, warn the user and proceed with copy-only output.

5. Ask the user for anything not already provided:

   • Topic: What is the post about?
   • Context/angle: Specific news, data, or event? Reference material?
   • Tone: Override default? (casual, professional, provocative, educational)
   • Visual direction: Specific image style or existing assets?
   • Platforms to skip: Any platforms to exclude?

---

Core Rules (Non-Negotiable)

1. NEVER Post Without Approval

Every piece of content -- posts, comments, replies -- must be shown to you first. The workflow is always:

1. Draft the content (text + images)
2. Present it for review with a clear summary
3. Wait for explicit "go ahead" / "approved" / "post it"
4. Post only after approval
5. Verify the post is live and report the URL

This exists because social media is public, permanent, and tied to your reputation. A bad post can't be unseen. The cost of waiting 30 seconds for approval is nothing compared to the cost of posting something wrong.

2. Always Generate Images

Every post gets AI-generated visuals. Use the nano-banana-pro skill (Gemini 3 Pro Image) to create photo-realistic, editorial-quality images. For each image needed, generate 3 options so the user can pick the best one. See the Image Generation section for exact dimensions per platform.

3. Check for Duplicates First

Before drafting any post, read the last 10 posts on each target platform. This prevents posting duplicate or near-duplicate content. Look for:

• Same topic covered in the last 48 hours
• Similar headlines or angles
• Overlapping key facts or data points

If you find overlap, flag it: "You posted about [topic] on [platform] [time ago]. Want to skip this platform, change the angle, or post anyway?"

4. Track Everything

After every post, collect the exact URL. Log all URLs (posts + engagement comments) to a daily log file. Never say "posted" without providing a clickable link.

5. Verify Before Reporting

Navigate to the profile/page after publishing and confirm the post actually appears. Be honest about failures -- never report unverified posts as successful.

---

Strategic Thinking

Before writing a single word, think strategically:

North Star

Every post serves one or more of these goals — always be explicit about which ones apply:

1. Go viral — high shareability, broad appeal, stops the scroll. Prioritize hooks, proof, and emotional resonance.
2. Grow followers — content that makes people think "I want more of this." End with a clear follow CTA or a hook into the next post.
3. Promote the product — weave the product in naturally as the tool that enabled the result, solved the problem, or made the story possible. Never feel like an ad.
4. Build personal brand — establish the user as a credible, interesting voice in their space. Opinions, behind-the-scenes, and unique perspectives beat generic tips.

Optimizing for all four simultaneously is possible — a viral behind-the-scenes post that mentions the product in passing is the gold standard. The worst outcome is content that does none of them (generic, forgettable, no CTA).

Hook Formula

The first line determines whether anyone reads the rest. Use one of these patterns:

• Curiosity gap: "I was wrong about..." / "Nobody's talking about this..."
• Contrarian take: "X is wrong, here's why" / "Unpopular opinion:"
• Story hook: "3 years ago I..." / "Last week something happened..."
• Value hook: "How to X without Y" / "The 5-minute trick that..."
• Data hook: "We analyzed 10,000..." / "The numbers are in:"

Psychological Angle

What makes this compelling?

• Social proof: Numbers, testimonials, adoption stats
• Curiosity gap: Incomplete information that demands completion
• Loss aversion: What they'll miss if they don't pay attention
• Authority: Expertise signal, credentials, experience
• Reciprocity: Giving value first, teaching something useful

Copy Principles

• Clarity over cleverness
• Benefits over features
• Specificity over vagueness ("Cut reporting from 4 hours to 15 minutes" beats "streamline your workflow")
• Customer language over company language
• One idea per post -- don't cram multiple messages

Content Pillar Check

Does this fit an existing pattern?

• Educational: Teaching something useful
• Behind-the-scenes: Process, struggles, real numbers
• Personal story: Lessons learned, failures, pivots
• Industry insight: Trends, analysis, predictions
• Promotional: Product launches, features, milestones

Keep promotional under 5% of posts. If a product/brand context file exists:

• ~60% of posts: mention a product as natural context (example, lesson, origin story)
• ~20% of posts: pure value, no product mention (builds trust and reach)
• ~15% of posts: directly about a product (releases, milestones, features)
• ~5% of posts: personal/humanizing, zero product angle

The test: Would a reader find the mention helpful, or would they roll their eyes? If helpful, include it. If eye-roll, skip it and just deliver value.

---

Workflow Overview

0. CONTEXT     -> Read product-marketing-context.md + config, check published articles
1. DEDUP       -> Read last 10 posts per platform, flag overlaps
2. STRATEGIZE  -> Hook formula, psychological angle, content pillar selection
3. ANALYZE     -> Check post analytics history, recommend optimal posting time
4. CONTENT     -> Write platform-adapted copy + save per-platform copy files
5. IMAGES      -> Generate 3 options per image with Nano Banana Pro (correct aspect ratio)
6. PROOF       -> For X/Twitter & Threads: create proof/evidence screenshot as first image
7. VIDEO       -> If video content: Veo 3.1 AI video (or Ken Burns fallback)
8. REVIEW      -> Present everything + timing recommendation to user, wait for approval
9. POST        -> Attach image FIRST, wait for preview thumbnail, THEN click Post (X/Twitter + Threads: mandatory verification)
10. VERIFY     -> Navigate to published post URL, screenshot it, check text encoding + image/video present — see "Post-Publication Verification" section
11. ENGAGE     -> Find 10 threads per platform, draft replies, get approval
12. LOG        -> Write daily engagement log with all URLs + save copy files

---

Virality and Proof Screenshots

Why Proof Beats Generic AI Art

On X/Twitter and Threads, the first image in a post determines whether it gets engagement. Generic AI-generated art blends into the feed -- everyone's using it now. Screenshots of real results stop the scroll because they signal authenticity and evidence. A terminal showing test passes, a dashboard with real numbers, or a before/after comparison says "this is real" in a way that no AI-rendered abstract gradient ever will.

What Counts as Proof

• Terminal output: Test passes, deployment logs, benchmark results, build output
• Metrics dashboards: Download counts, user growth charts, revenue screenshots, analytics
• Before/after comparisons: Code diff, performance numbers, UI redesign side-by-side
• Code snippets with results: A function and its actual output, a query and its response
• Error messages that tell a story: "This error cost us 3 days..." with the actual stack trace
• Tool output: npm download stats, GitHub stars graph, Vercel analytics, CI/CD results

How to Create Proof Screenshots

1. If the user provides a command or metric, run it or ask them to screenshot it
2. Use Puppeteer or Peekaboo to capture the relevant screen/dashboard
3. Crop to the key area -- full-screen screenshots are noisy. Focus on the number, the result, the graph
4. For terminal output: Use a clean dark terminal theme, highlight the key numbers or success indicators
5. For dashboards: Capture the specific graph or metric that tells the story, not the entire page

Image Order for X/Twitter and Threads

• Image 1: ALWAYS the proof screenshot (this appears in the timeline preview and drives clicks)
• Image 2+: AI-generated visuals from Nano Banana Pro (supporting/aesthetic images)

When Proof Isn't Available

If the topic is abstract (opinion piece, thought leadership, general advice) and no proof screenshot exists:

1. Ask the user if they have any relevant screenshot, metric, or terminal output they could share
2. If they don't, fall back to data visualization or infographic-style AI art -- charts, diagrams, annotated screenshots -- rather than generic abstract imagery
3. NEVER generate fake/mock terminal screenshots -- that's dishonest and undermines trust

The workflow should never block over this. If no proof exists and the user confirms, proceed with the best available AI imagery.

---

Available Tools (Prefer Dedicated Tools)

Multiple tools may be available for posting. Always prefer dedicated CLI/API tools over browser automation -- they're faster, more reliable, and don't break when UIs change.

Tool Priority Order

Platform	1st Choice (Best)	2nd Choice	3rd Choice	Last Resort
X/Twitter	xurl CLI (if installed)	Puppeteer/browser	Peekaboo	Chrome-open
Discord	discord skill actions	Webhook API (curl)	Browser automation	Chrome-open
Telegram	Telegram Bot API (curl)	N/A	N/A	N/A
Instagram Carousel	API (rupload_igphoto + configure_sidecar)	Puppeteer + Chrome profile	Peekaboo	Chrome-open
Instagram Reel	API (rupload_igvideo + configure_to_clips)	Puppeteer + Chrome profile	Peekaboo	Chrome-open
LinkedIn	Puppeteer + Chrome profile	Peekaboo	Chrome-open	-
Threads	Puppeteer + Chrome profile	Peekaboo	Chrome-open	-
YouTube Community	Puppeteer + system clipboard	Peekaboo	Chrome-open	-
YouTube Video Upload	AppleScript + browser automation	Peekaboo	Chrome-open	-
Reddit	Puppeteer (old.reddit.com)	Peekaboo	Chrome-open	-
TikTok	Anti-bot override + AppleScript + cliclick	Peekaboo	Chrome-open	-
dev.to	Puppeteer + Chrome profile	Peekaboo	Chrome-open	-
Facebook	Puppeteer + Chrome profile	Peekaboo	Chrome-open	-

X/Twitter via xurl (Preferred)

If the xurl CLI is installed (xurl auth status to check), use it instead of browser automation:

# Post with image
xurl media upload image.png           # get MEDIA_ID from response
xurl post "Your tweet text" --media-id MEDIA_ID

# Thread: post main tweet, then reply
xurl post "Main tweet"                # get POST_ID
xurl reply POST_ID "Thread continuation"

# Search for engagement threads
xurl search "topic keywords" -n 10

# Reply to a thread
xurl reply POST_ID "Your thoughtful reply"

# Read recent posts (dedup check)
xurl timeline -n 10

Discord via Skill Actions (Preferred)

If the discord skill is available, use its native actions:

{
  "action": "sendMessage",
  "to": "channel:<CHANNEL_ID>",
  "content": "Your announcement text",
  "mediaUrl": "file:///path/to/image.png"
}

{
  "action": "readMessages",
  "channelId": "<CHANNEL_ID>",
  "limit": 10
}

Peekaboo (macOS UI Fallback)

When browser automation (Puppeteer) isn't available or breaks, use the peekaboo skill for macOS UI automation:

# See what's on screen, identify clickable elements
peekaboo see --app "Google Chrome" --annotate --path /tmp/see.png

# Click an identified element
peekaboo click --on B3 --app "Google Chrome"

# Type text
peekaboo type "Your post content" --app "Google Chrome"

# Paste from clipboard (for editors that reject keyboard input)
echo "Your text" | pbcopy
peekaboo hotkey --keys "cmd,v" --app "Google Chrome"

This is particularly useful when:

• Puppeteer can't connect to Chrome
• A platform's DOM changed and selectors broke
• File upload dialogs need native OS interaction
• You need to interact with system dialogs (CAPTCHA, etc.)

AppleScript File Picker: Keyboard Language Issue

This is a silent failure. When AppleScript uses Cmd+Shift+G to open the "Go to Folder" dialog in a macOS file picker, any keystrokes go through the currently active system keyboard input source. If the user has a non-Latin layout active (Russian, Japanese, Arabic, etc.), the typed path characters get converted — /Users/anton/image.png becomes garbage, the dialog finds nothing, and the file is never attached. No error is thrown.

Always switch the input source to English before typing any path, then restore it.

import subprocess, time

def ensure_english_input_source():
    """Switch to a Latin/English input source before typing paths in macOS dialogs.
    Returns the name of the previous input source so it can be restored."""
    script = '''
tell application "System Events"
    set currentName to name of current input source
    set allSources to input sources
    set englishNames to {"U.S.", "ABC", "U.S. Extended", "U.S. International - PC", "British", "Australian"}
    set alreadyEnglish to false
    repeat with n in englishNames
        if currentName is n then
            set alreadyEnglish to true
            exit repeat
        end if
    end repeat
    if alreadyEnglish then
        return "already_english"
    end if
    repeat with src in allSources
        if (name of src) is in englishNames then
            set current input source to src
            return currentName
        end if
    end repeat
    return "no_english_source_found"
end tell
'''
    result = subprocess.run(['osascript', '-e', script], capture_output=True, text=True)
    return result.stdout.strip()

def restore_input_source(original_name):
    if original_name in ('already_english', 'no_english_source_found', ''):
        return
    script = f'''
tell application "System Events"
    repeat with src in input sources
        if (name of src) is "{original_name}" then
            set current input source to src
            exit repeat
        end if
    end repeat
end tell
'''
    subprocess.run(['osascript', '-e', script])

# Usage pattern:
original_lang = ensure_english_input_source()
time.sleep(0.3)  # give the OS time to switch before typing

# ... Cmd+Shift+G, type the path, press Enter ...

restore_input_source(original_lang)

Checklist when using any AppleScript file picker:

1. Call ensure_english_input_source() BEFORE triggering Cmd+Shift+G
2. Add a 0.3s delay after switching — the OS needs a moment to apply the change
3. Type the path
4. Restore the original input source after pressing Enter
5. If no_english_source_found is returned, warn the user: "Please temporarily switch your keyboard to English in System Settings → Keyboard → Input Sources, then retry"

Diagnosing silently failed path input: If the file picker opened but nothing was selected, run:

osascript -e 'tell application "System Events" to return name of current input source'

If it returns anything other than a Latin layout name, the language mismatch was the cause.

Chrome-Open (Last Resort)

When all automation fails, open the platform's compose page in Chrome with the user's configured profile:

open -na "Google Chrome" --args --profile-directory="PROFILE_DIR" "COMPOSE_URL"

Then provide a per-platform posting guide for each tab:

• Copy from: full absolute path to the .txt file
• Attach image: full absolute path to the image file
• First comment: if applicable, what to paste after publishing

The user pastes, attaches, reviews, and clicks publish.

---

Image Generation with Nano Banana Pro

Use the nano-banana-pro skill for all image generation. The script path is:

{nano-banana-pro baseDir}/scripts/generate_image.py

Fallback (direct Gemini API) -- if the nano-banana-pro skill is not installed:

import json, base64, os, urllib.request

api_key = os.environ['GEMINI_API_KEY']
model = 'gemini-3-pro-image-preview'
url = f'https://generativelanguage.googleapis.com/v1beta/models/{model}:generateContent?key={api_key}'

payload = {
    'contents': [{'parts': [{'text': 'PROMPT_HERE'}]}],
    'generationConfig': {'responseModalities': ['TEXT', 'IMAGE']}
}

req = urllib.request.Request(url, data=json.dumps(payload).encode(),
    headers={'Content-Type': 'application/json'}, method='POST')

with urllib.request.urlopen(req, timeout=120) as resp:
    result = json.loads(resp.read())
    for part in result['candidates'][0]['content']['parts']:
        if 'inlineData' in part:
            img_data = base64.b64decode(part['inlineData']['data'])
            with open('output.png', 'wb') as f:
                f.write(img_data)

Platform-Specific Dimensions

Each platform has strict aspect ratio requirements. Always generate at the correct ratio from the start — resizing after the fact loses quality. Include the target dimensions in your prompt so the model composes correctly.

Platform	Best Ratio	Pixels	Allowed Range	Max File Size	JPEG Quality	Resolution Flag
Instagram Feed (portrait)	4:5	1080x1350	0.8–1.91	8 MB	95+	--resolution 2K
Instagram Feed (square)	1:1	1080x1080	0.8–1.91	8 MB	95+	--resolution 2K
Instagram Carousel	1:1 or 4:5	1080x1080 or 1080x1350	0.8–1.91 (all slides same ratio)	8 MB each	95+	--resolution 2K
Instagram Story/Reel	9:16	1080x1920	9:16 only	8 MB	95+	--resolution 2K
TikTok	9:16	1080x1920	9:16 strongly preferred	20 MB	90+	--resolution 2K
X/Twitter	16:9	1200x675	any, but 16:9 crops best in preview	5 MB	85+	--resolution 1K
LinkedIn	1.91:1	1200x628	any	8 MB	90+	--resolution 1K
Facebook	1.91:1	1200x628	any	8 MB	90+	--resolution 1K
YouTube Community	16:9	1280x720	any	8 MB	90+	--resolution 1K
YouTube Thumbnail	16:9	1280x720	16:9 only	2 MB	90+	--resolution 1K
Threads	1:1	1080x1080	0.8–1.91	8 MB	90+	--resolution 1K
Discord	16:9	1280x720	any	8 MB	85+

Instagram 4:5 portrait is the recommended default — it takes up the most vertical screen space in the feed, which increases impressions before the user scrolls past.

Image Aspect Ratio Enforcement

Always validate and fix aspect ratio BEFORE uploading. Instagram (and TikTok) will hard-reject images outside their allowed range with an "uploaded image isn't in an allowed aspect ratio" error. This must be caught and fixed, not reported back to the user as a failure.

Two strategies — choose based on image type:

Image Type	Strategy	Why
AI-generated image	Regenerate with correct ratio in the prompt	Easiest — just add the ratio to the generation prompt
User screenshot / proof image	Pad, never crop	Cropping cuts content; padding preserves everything
Logo or icon	Pad with transparent/dark background	Keeps proportions exact

Step 1: Check the aspect ratio before uploading

from PIL import Image

def check_aspect_ratio(img_path, platform='instagram'):
    """Check if image ratio is within platform's allowed range."""
    img = Image.open(img_path)
    w, h = img.size
    ratio = w / h

    limits = {
        'instagram': (0.8, 1.91),   # 4:5 portrait to 1.91:1 landscape
        'threads':   (0.8, 1.91),
        'tiktok':    (0.5, 1.0),    # strongly prefer 9:16 = 0.5625
        'twitter':   (0.33, 3.0),   # very permissive
    }
    lo, hi = limits.get(platform, (0.5, 2.0))

    if ratio < lo:
        return False, ratio, 'too_tall'
    elif ratio > hi:
        return False, ratio, 'too_wide'
    return True, ratio, 'ok'

Step 2: Fix it — pad, never crop (especially for screenshots)

from PIL import Image, ImageFilter

def fit_to_ratio(input_path, output_path, target_w, target_h, background='blur'):
    """
    Fit image into target dimensions without cropping any content.

    background='blur'  → blurred + darkened version of the image fills the padding (looks natural, no black bars)
    background='dark'  → solid dark (#0f0f0f) padding (cleaner for screenshots with dark backgrounds)
    background='white' → solid white padding (cleaner for screenshots with white backgrounds)
    """
    img = Image.open(input_path).convert('RGB')
    src_w, src_h = img.size
    src_ratio = src_w / src_h
    tgt_ratio = target_w / target_h

    # Build background canvas
    if background == 'blur':
        bg = img.resize((target_w, target_h), Image.LANCZOS)
        bg = bg.filter(ImageFilter.GaussianBlur(radius=40))
        # Darken so the content stands out
        dark = Image.new('RGB', (target_w, target_h), (0, 0, 0))
        bg = Image.blend(bg, dark, 0.45)
    elif background == 'white':
        bg = Image.new('RGB', (target_w, target_h), (255, 255, 255))
    else:
        bg = Image.new('RGB', (target_w, target_h), (15, 15, 15))

    # Scale image to fit, preserving ALL content (letterbox/pillarbox)
    if src_ratio > tgt_ratio:
        new_w = target_w
        new_h = int(target_w / src_ratio)
    else:
        new_h = target_h
        new_w = int(target_h * src_ratio)

    img_scaled = img.resize((new_w, new_h), Image.LANCZOS)

    
    x = (target_w - new_w) // 
    y = (target_h - new_h) // 
    bg.paste(img_scaled, (x, y))

    bg.save(output_path, , quality=, optimize=, progressive=)
    ()
     output_path

Step 3: Choose the right target for Instagram

def get_instagram_target(img_path):
    """Return the best Instagram canvas size for this image."""
    img = Image.open(img_path)
    w, h = img.size
    ratio = w / h

    if ratio > 1.91:
        # Way too wide (e.g., ultrawide screenshot) → fit into 4:5 canvas
        return (1080, 1350)  # 4:5 portrait — max vertical real estate
    elif ratio > 1.0:
        # Landscape screenshot → fit into square (keeps it neutral)
        return (1080, 1080)
    elif ratio >= 0.8:
        # Already in range → just resize to 1080 width, keep ratio
        new_h = int(1080 / ratio)
        return (1080, new_h)
    else:
        # Too tall → fit into 4:5
        return (1080, 1350)

Full workflow for any image before Instagram upload:

valid, ratio, status = check_aspect_ratio(img_path, platform='instagram')
if not valid:
    target_w, target_h = get_instagram_target(img_path)
    # For screenshots: use 'blur' background (matches dark terminal themes)
    # For logos/icons: use 'dark' background
    # For light-background screenshots: use 'white' background
    background = 'blur'  # default; adjust based on image content
    img_path = fit_to_ratio(img_path, img_path.replace('.png', '-ig.jpg'), target_w, target_h, background)
    print(f"Fixed aspect ratio: {ratio:.2f} → {target_w/target_h:.2f} ({target_w}x{target_h})")
# Now safe to upload

For AI-generated images: don't resize — instead re-run generation with the correct ratio in the prompt. Resizing an AI image introduces quality loss. Only use fit_to_ratio for user-provided screenshots and assets.

Quality checklist before uploading any image:

• Aspect ratio is within platform's allowed range (checked programmatically)
• Long edge is at least 1080px (Instagram rejects undersized images)
• File size is under the platform limit (use os.path.getsize())
• JPEG quality is 95+ for Instagram, 90+ for others
• For screenshots: padding strategy chosen to match the screenshot's background tone

Generating 3 Options Per Image

For every image, generate 3 distinct options with varied composition. Include the aspect ratio in the prompt:

# Option A -- dramatic angle
uv run {baseDir}/scripts/generate_image.py \
  --prompt "square 1:1 composition, photorealistic tech editorial: [topic], cinematic lighting, dark gradient, clean typography overlay" \
  --filename "2026-03-04-topic-option-a.png" --resolution 2K

# Option B -- data/infographic style
uv run {baseDir}/scripts/generate_image.py \
  --prompt "square 1:1 composition, [alternative visual: data visualization, charts, key stats]" \
  --filename "2026-03-04-topic-option-b.png" --resolution 2K

# Option C -- human/product focus
uv run {baseDir}/scripts/generate_image.py \
  --prompt "square 1:1 composition, [third approach: device mockup, person using tech, product shot]" \
  --filename "2026-03-04-topic-option-c.png" --resolution 2K

Present all 3 to the user: "Here are 3 image options. Which do you prefer? (A/B/C, or I can regenerate)"

Carousels (Instagram/TikTok)

Generate 5 slides, each with 3 options (15 images total). Present as a grid so the user can mix and match:

Slide 1 (Hook):    [A1] [B1] [C1]
Slide 2 (Point 1): [A2] [B2] [C2]
Slide 3 (Point 2): [A3] [B3] [C3]
Slide 4 (Point 3): [A4] [B4] [C4]
Slide 5 (CTA):     [A5] [B5] [C5]

Logo handling: When mentioning companies, scrape and download their official logos first. Pass logos as input images (-i logo.png) to Nano Banana Pro so they render correctly.

Carousel compositing with Pillow (for text overlays on backgrounds):

from PIL import Image, ImageDraw, ImageFont, ImageFilter

img = Image.open('background.png').convert('RGBA').resize((1080, 1080), Image.LANCZOS)
overlay = Image.new('RGBA', img.size, (0, 0, 0, 0))
draw = ImageDraw.Draw(overlay)
# Dark gradient at bottom 45%
for y in range(594, 1080):
    alpha = int(40 + 200 * ((y - 594) / 486))
    draw.rectangle([(0, y), (1080, y+1)], fill=(0, 0, 0, min(alpha, 230)))
img = Image.alpha_composite(img, overlay)
# Add text with ImageFont

Image Style Guidelines

• Photo-realistic, cinematic lighting, editorial quality
• Dark gradient backgrounds with clean typography overlays
• Professional tech-forward aesthetic
• Use timestamps in filenames: yyyy-mm-dd-topic-name-option-X.png

IMPORTANT -- Always use full absolute paths and specify per-platform. After generation, present a clear table with full absolute paths and which platform each image is for. Show images inline using the Read tool so the user can review without opening Finder.

---

Video Generation

For content that benefits from video (especially TikTok and Instagram Reels), use Veo 3.1 via the Gemini API for AI-generated cinematic video clips.

First Frame / Cover: The Most Important Asset

The first frame of a video (or first slide of a carousel) is the only thing that determines whether anyone watches the rest. Algorithms surface this as the thumbnail in the feed — it must stop the scroll.

Rules for the first frame/slide:

1. If the user provides a screenshot, proof image, or specific asset — it goes first. Use it as Slide 1 or extract/composite it into the video's opening 1-2 seconds. This is the same principle as proof screenshots on X/Twitter: real evidence beats generated art every time.
2. If no user-provided image exists, generate a dedicated cover image/frame — do NOT reuse a generic slide. The cover needs:
   • A bold, high-contrast visual (proof screenshot, dramatic number, product shot, or striking scene)
   • Readable text at a glance: the hook or the single biggest claim from the post
   • For video: a scene that conveys motion/energy in a still frame (fire, speed, contrast)
3. Carousels (Instagram, TikTok photo mode): Slide 1 = hook image with the boldest headline. Slides 2-N can carry the detailed content. Never bury the most compelling visual in the middle.
4. Video (TikTok, Reels, Shorts): The first 1-2 seconds must not be a slow fade-in or black screen. Start on the strongest visual frame. If using ffmpeg, trim the opening to start on action.
5. Custom thumbnail for YouTube and TikTok: Always generate a separate 1280x720 (YouTube) or 1080x1920 (TikTok) thumbnail image — do not rely on an auto-selected frame. The thumbnail is what drives clicks from search and suggested.

Cover image checklist before attaching:

• Is this the strongest, most attention-grabbing visual in the set?
• Does it convey the hook or main claim in under 2 seconds?
• If user provided a screenshot/image, is it this one?
• For video: does it show action from the first second (not a fade or black)?

Option A: AI Video with Veo 3.1 (Recommended)

Model: veo-3.1-generate-preview Endpoint: POST https://generativelanguage.googleapis.com/v1beta/models/veo-3.1-generate-preview:predictLongRunning Auth: Same GEMINI_API_KEY used for image generation

Step 1: Generate video clips (one per slide)

import json, os, urllib.request

api_key = os.environ['GEMINI_API_KEY']
endpoint = 'https://generativelanguage.googleapis.com/v1beta/models/veo-3.1-generate-preview:predictLongRunning'

payload = {
    "instances": [{"prompt": "Cinematic scene description here"}],
    "parameters": {
        "aspectRatio": "9:16",    # 9:16 for TikTok/Reels, 16:9 for landscape
        "resolution": "720p",      # 720p or 1080p
        "durationSeconds": 6       # 4, 6, or 8 seconds (MUST be number, not string)
    }
}

req = urllib.request.Request(
    f'{endpoint}?key={api_key}',
    data=json.dumps(payload).encode(),
    headers={'Content-Type': 'application/json'}, method='POST')

with urllib.request.urlopen(req, timeout=60) as resp:
    result = json.loads(resp.read())
    operation_name = result['name']  # e.g. "models/veo-3.1-generate-preview/operations/xxxxx"

Step 2: Poll for completion (2-5 minutes)

poll_url = f'https://generativelanguage.googleapis.com/v1beta/{operation_name}?key={api_key}'
# GET request, check result['done'] == True
# Video URI at: result['response']['generateVideoResponse']['generatedSamples'][0]['video']['uri']

Step 3: Download video

download_url = f"{video_uri}&key={api_key}"  # Append API key to download URL

Step 4: Scale up + text overlays with ffmpeg

Veo outputs 720x1280. Upscale to 1080x1920 and add text using drawtext filter:

ffmpeg -y -i veo-clip.mp4 -vf "
  scale=1080:1920:flags=lanczos,
  drawbox=x=0:y=ih*0.55:w=iw:h=ih*0.45:color=black@0.55:t=fill,
  drawbox=x=60:y=ih*0.60:w=4:h=80:color=0xD4A04A@0.9:t=fill,
  drawtext=fontfile='/System/Library/Fonts/Avenir Next.ttc':text='01':fontcolor=white@0.9:fontsize=52:x=80:y=h*0.60+10,
  drawtext=fontfile='/System/Library/Fonts/Avenir Next.ttc':text='Title Here':fontcolor=white:fontsize=46:x=60:y=h*0.72,
  drawtext=fontfile='/System/Library/Fonts/Avenir Next.ttc':text='Body text here':fontcolor=white@0.8:fontsize=28:x=60:y=h*0.84
" -c:v libx264 -preset slow -crf 20 -pix_fmt yuv420p -c:a aac -b:a 128k -movflags +faststart output.mp4

Step 5: Concatenate with crossfade transitions

ffmpeg -y -i slide1.mp4 -i slide2.mp4 -i slide3.mp4 -i slide4.mp4 -i slide5.mp4 \
  -filter_complex "
    [0:v][1:v]xfade=transition=fade:duration=0.8:offset=5.2[v01];
    [v01][2:v]xfade=transition=fade:duration=0.8:offset=10.4[v02];
    [v02][3:v]xfade=transition=fade:duration=0.8:offset=15.6[v03];
    [v03][4:v]xfade=transition=fade:duration=0.8:offset=20.8[vout];
    [0:a][1:a]acrossfade=d=0.8[a01];
    [a01][2:a]acrossfade=d=0.8[a02];
    [a02][3:a]acrossfade=d=0.8[a03];
    [a03][4:a]acrossfade=d=0.8[aout]
  " -map "[vout]" -map "[aout]" \
  -c:v libx264 -preset slow -crf 20 -pix_fmt yuv420p -c:a aac -b:a 128k \
  -movflags +faststart final-video.mp4

Key Veo 3.1 details:

• Generates native audio (ambient soundscape) automatically
• Output: h264 + AAC, 24fps
• 720x1280 (9:16) or 1280x720 (16:9) native resolution
• Fire all 5 clip generations in parallel (async API), poll all at once
• Typical generation time: 2-5 minutes per clip
• durationSeconds MUST be a number (not string) or you get 400 error
• Download URLs require &key=API_KEY appended

Prompt tips for cinematic results:

• Describe camera movement: "slow aerial drift", "dolly forward", "push-in", "camera drift backward"
• Include atmosphere: "moody storm clouds", "warm Edison lights", "volumetric lighting"
• Specify color grading: "teal and amber", "cold desaturated", "golden hour"
• Keep prompts specific and visual -- Veo excels at photorealistic scenes

Option B: Ken Burns Slideshow (Fallback)

If Veo is unavailable, create a Ken Burns zoom slideshow from still images using ffmpeg:

ffmpeg -loop 1 -t 5 -i slide.jpg -vf "zoompan=z='1+0.0006*on':x='iw/2-(iw/zoom/2)':y='ih/2-(ih/zoom/2)':d=150:s=1080x1920:fps=30" output.mp4

For multi-slide videos, concatenate with crossfade transitions (same ffmpeg pattern as Step 5 above).

Option C: UGC Filming Script

If the user prefers to film themselves, provide a structured script:

1. Hook (0-2s): Pattern interrupt or bold claim
2. Setup (2-5s): Context and stakes
3. Value (5-25s): The actual content, tips, or demonstration
4. CTA (25-30s): Follow, engage, share, or link in bio

---

Platform Posting

Each platform has quirks. Read references/platform-posting.md for the detailed technical guide (selectors, upload flows, encoding requirements, workarounds).

⚠️ IMAGE ATTACHMENT: THE #1 FAILURE POINT

Image attachment fails silently more often than any other step. This is especially true on X/Twitter and Threads. The post goes live but without the image — and the user has to redo it manually. Do not let this happen.

Rules before clicking Post on any platform:

1. If the user's prompt includes a screenshot, image, or file path — that image is REQUIRED. Capture it at the start, confirm the path exists, and treat attachment failure as a blocking error (not a warning).
2. After attaching any image, wait for the image preview to render in the compose UI before clicking Post. If no preview appears within 10 seconds, the attachment failed — retry before proceeding.
3. Never post without verifying the image preview is visible. "I attached the file" is not enough — confirm the UI shows the thumbnail.
4. If attachment repeatedly fails, stop and report it instead of posting without the image. A text-only post is worse than no post when the user explicitly asked for an image.

Platform-specific image attachment flows are documented below for X/Twitter and Threads — read them before posting to either platform.

Supported Platforms

Platform	Content Type	Char Limit	Hashtags	Image Support
X/Twitter	Text + image	280 (free) / 25K (premium)	1-3	Yes
LinkedIn	Text + image	3,000	3-5	Yes
Instagram Carousel	Carousel (API)	2,200 caption	Up to 30	Required
Instagram Reel	Reel (API)	2,200 caption	Up to 30	Video
Threads	Text + image	500	3-5	Yes
TikTok	Video (from carousel)	2,200 caption	3-5	Video only
YouTube Community	Community post	~5,000	N/A	Yes
YouTube Video	Video upload (Studio)	5,000 title+desc	Up to 15 tags	Video
Reddit	Text post	Unlimited	N/A	Optional
dev.to	Article (markdown)	Unlimited	Max 4 tags	Optional
Facebook	Text + image	63,206	1-3	Yes
Discord	Message	2,000	N/A	Yes (embed)
Telegram	Message	4,096	N/A	Yes

Content Adaptation

Don't copy-paste the same text everywhere. Adapt for each platform:

• X/Twitter: Punchy, concise, hook in first line. Thread for longer content.
• LinkedIn: Professional tone, insight-driven, mention implications for the industry. Links in first comment, not post body.
• Instagram: Visual-first. Decide the post type explicitly before writing anything — see "Instagram: Image-Only vs Text+Image" section below.
• Threads: Casual, conversational, like talking to a friend.
• TikTok: Upload via TikTok Studio with anti-bot override + AppleScript file picker. Convert photo carousels to video with ffmpeg first. Caption is secondary to visuals. See references/platform-posting.md TikTok section for the full anti-bot workflow.
• Reddit: Match the subreddit's tone. Informative, no self-promo smell. Check flair requirements.
• dev.to: Full article format with markdown. Technical depth.
• Facebook: Conversational, longer-form OK. Links in post body (not penalized like LinkedIn). Use images.
• Discord: Short, punchy, chat-style. No markdown tables (Discord renders them ugly). Use bold for emphasis, not headers.
• Telegram: Clean, formatted message. Use markdown formatting.
• YouTube Community: Community post style -- short, conversational, pose a question to drive comments. Link to full videos or articles in text.
• YouTube Video: Upload via Studio with hybrid AppleScript + browser automation. See references/youtube-studio-upload.md for the complete workflow. Set video language to English for auto-generated captions and auto-translate support.

Instagram: Image-Only vs Text+Image

This is the most common Instagram ambiguity. When the user asks for "a post with both an image and text", they could mean several different things. Decide the post type explicitly and confirm it before posting.

The Three Instagram Post Modes

Mode	When to use	Caption	Image
Image-only	Aesthetic/art posts, images with text overlaid on the slide itself, photography, product shots where the visual is self-explanatory	Empty or minimal (1-3 emojis or a single line)	All content is in the image
Text + image	Educational content, announcements, behind-the-scenes, posts where caption adds real context	Full caption (hook + body + CTA + hashtags)	Image supports/illustrates the text
Carousel + caption	Multi-point content where slides carry the story	Short teaser caption ("Swipe to see all 5 →") + hashtags	Each slide is a self-contained point
Carousel image-only	Visual storytelling, design portfolios, before/after sequences	Empty or minimal	Slides tell the complete story visually

When the user asks for "both text and an image":

1. Write the full caption text
2. Generate the image
3. Ask the user: "For Instagram — should the caption text go in the post body, or should I bake the key points as text overlays directly onto the image/slides? (Caption posts = discoverable via search; image-only = cleaner aesthetic)"
4. Wait for their preference before posting

Never silently drop the caption. If the user asked for text, that text must appear somewhere — either in the caption field or as a text overlay on the image. Silently posting with an empty caption when the user wrote copy is a failure.

Caption Must Not Be Dropped — Technical Safeguard

The Instagram API's caption field is the most commonly dropped parameter. Always verify it explicitly:

# When posting via Puppeteer/browser — caption field check
def post_instagram_with_caption(image_paths, caption_text):
    """Always verify caption is non-empty before posting."""
    if not caption_text or not caption_text.strip():
        raise ValueError("Caption is empty — user asked for text, this is a bug. Add caption before posting.")

    # For API posting: caption goes in the configure call, not the upload call
    # rupload_igphoto / rupload_igvideo → uploads the media (no caption here)
    # configure_sidecar / configure_to_reel → this is where caption is set
    payload = {
        "caption": caption_text,  # REQUIRED — do not omit or leave empty
        "media_type": "CAROUSEL",
        "children_media_ids": [...],
    }
    # Verify caption made it into the payload before sending
    assert payload["caption"], "Caption was cleared before API call — check for variable shadowing"

For browser automation (Puppeteer):

// After opening the compose dialog, type the caption BEFORE attaching images
// Instagram's compose flow: caption textarea → image attach → next → share
// If you attach images first, the caption field sometimes loses focus and clears on mobile web

// Verify caption is in the textarea before clicking Share
const captionEl = await page.$('textarea[aria-label*="caption"], div[role="textbox"]');
const captionValue = await captionEl.evaluate(el => el.value || el.textContent);
if (!captionValue.trim() && userWantsCaption) {
  throw new Error('Caption textarea is empty before posting — re-type caption and retry');
}

Carousel: Slides with Text Overlays vs Caption-Driven

Slides carry the story (image-only mode):

• Each slide has text baked into the image via Pillow/ffmpeg
• Caption = short hook + "Swipe →" + hashtags only
• No duplication between slide text and caption

Caption carries the story (text+image mode):

• Slides are pure visuals (no text overlay) — let the image breathe
• Caption = the full article/thread/story with line breaks
• Slides serve as visual proof or aesthetic support

Never duplicate content between slide overlays and caption — it looks amateurish and wastes reach (Instagram truncates long captions to "more" after 3 lines, so lead with the hook).

X/Twitter: Image Attachment Workflow

X/Twitter is the most common platform where images silently drop. Use the right method for the tool in use.

Via xurl CLI (preferred):

# Step 1: Upload media FIRST — get the media_id
MEDIA_RESPONSE=$(xurl media upload /absolute/path/to/image.png)
MEDIA_ID=$(echo "$MEDIA_RESPONSE" | python3 -c "import sys,json; print(json.load(sys.stdin)['media_id_string'])")

# Step 2: Confirm MEDIA_ID is not empty before proceeding
if [ -z "$MEDIA_ID" ]; then
  echo "ERROR: media upload failed — do not post without image"
  exit 1
fi

# Step 3: Post with media attached
xurl post "Your tweet text" --media-id "$MEDIA_ID"

# Step 4: Verify — navigate to the posted tweet URL and confirm the image renders

Via Puppeteer / browser automation:

// Step 1: Get the file input element (Twitter uses a hidden <input type="file">)
const fileInput = await page.$('input[data-testid="fileInput"]');
if (!fileInput) throw new Error('File input not found — DOM may have changed');

// Step 2: Set the file
await fileInput.uploadFile('/absolute/path/to/image.png');

// Step 3: WAIT for image preview — do not skip this wait
await page.waitForSelector('[data-testid="attachments"] img', { timeout: 15000 })
  .catch(() => { throw new Error('Image preview did not appear — attachment failed, aborting post'); });

// Step 4: Only now click the Post button
await page.click('[data-testid="tweetButtonInline"]');

Image not attaching via CDP? Twitter's React-controlled file input rejects programmatic setFileInputFiles on newer builds. Use DOM.setFileInputFiles via the CDP session directly on the node's backendNodeId instead of querySelector. If that also fails, use Peekaboo to click the image attach button and trigger the native macOS file picker, then AppleScript to type the path.

Threads: Image Attachment Workflow

Threads is the second most common platform where images silently drop. The compose dialog has multiple "Post" buttons (feed header + dialog) and the image preview can fail to render.

Via Puppeteer / browser automation:

// Step 1: Open the Threads compose dialog and type the caption first
// (typing before attaching avoids focus loss that can clear the file input)

// Step 2: Click the image/media attach icon (paperclip or image icon in compose dialog)
// Use Playwright snapshot to get the aria ref — querySelector is unreliable here
// browser snapshot → find the attach-image button ref → browser act click ref=<ref>

// Step 3: Trigger file selection via the hidden input
const fileInput = await page.$('input[type="file"]');
await fileInput.uploadFile('/absolute/path/to/image.png');

// Step 4: WAIT for thumbnail preview in the compose dialog — mandatory
// Look for an <img> inside the compose area (NOT the feed) with the uploaded image
await page.waitForSelector('div[role="dialog"] img[src*="blob:"]', { timeout: 15000 })
  .catch(() => { throw new Error('Threads: image preview not visible — do not post, attachment failed'); });

// Step 5: Take a Playwright/Peekaboo screenshot to visually confirm the image is there
// before clicking Post

// Step 6: Click the correct "Post" button — must be inside the compose dialog
// WRONG: page.click('button:has-text("Post")') — finds the feed header button first
// RIGHT: use Playwright snapshot refs=aria, find the Post button scoped to the dialog
// browser snapshot → locate 'Post' ref within dialog → browser act click ref=<ref>

Clipboard paste alternative (if file input fails):

import subprocess

# Copy image to clipboard as a file reference
subprocess.run(['osascript', '-e', f'set the clipboard to (POSIX file "{abs_image_path}")'])

# Click into the Threads compose area
# Use peekaboo to click the media attach area
# Then Cmd+V to paste the image from clipboard
subprocess.run(['osascript', '-e', 'tell application "Google Chrome" to activate'])
subprocess.run(['cliclick', 'kd:cmd', 't:v', 'ku:cmd'])

# Then wait for preview to render before posting

NEVER post to Threads without seeing the image thumbnail in the compose dialog. If the thumbnail isn't there, the image will not appear in the published post.

Per-Platform Copy File Output

After writing copy for all platforms, save each to individual files:

generated-assets/copy/linkedin.txt
generated-assets/copy/twitter.txt        # or twitter-thread.txt for threads
generated-assets/copy/instagram.txt
generated-assets/copy/tiktok.txt
generated-assets/copy/facebook.txt
generated-assets/copy/threads.txt
generated-assets/copy/reddit.txt
generated-assets/copy/devto.txt
generated-assets/copy/discord.txt
generated-assets/copy/telegram.txt
generated-assets/copy/youtube.txt
generated-assets/copy/first-comments.txt  # links, hashtags for first comments

Also show all copy in the conversation so the user can review without opening files.

TikTok Video

TikTok web only accepts video. Use the Video Generation section (Veo 3.1 recommended) to create 9:16 vertical content. Quick fallback via ffmpeg slideshow:

ffmpeg -framerate 1/4 -i slide-%d.png \
  -c:v libx264 -r 30 -pix_fmt yuv420p \
  -vf "scale=1080:1920:force_original_aspect_ratio=decrease,pad=1080:1920:(ow-iw)/2:(oh-ih)/2" \
  output.mp4

Optimal Timing & Scheduled Posting

Posting at the right time can double engagement. Use a three-tier approach:

Tier 1 -- Analytics-driven (best). Before posting, check the user's actual engagement data:

• Read the last 20-30 posts per platform
• Note which posts got the most likes/comments/shares
• Note what time and day those top posts went live
• Recommend posting at the time that historically performs best for THIS account

Present your analysis: "Your top 5 LinkedIn posts were all published between 7-8 AM EST on Tuesdays and Thursdays. I recommend scheduling for 7:30 AM EST tomorrow (Thursday)."

Tier 2 -- General best practices (fallback). When analytics aren't available:

Platform	Best Time (EST)	Weekend Shift
X/Twitter	9-11 AM	+1h
LinkedIn	7-8 AM or 12 PM	Skip weekends
Instagram	11 AM-1 PM, 7-9 PM	10 AM-2 PM
TikTok	10 AM, 7-9 PM	+1h
Threads	7-9 AM or 12-3 PM	+2h
Facebook	1-3 PM	12-2 PM
Reddit	6-9 AM	8-11 AM
dev.to	7-10 AM	Skip weekends
Discord	10 AM-12 PM, 7-9 PM	Evenings better
Telegram	9-11 AM, 7-9 PM	Same

Tier 3 -- Breaking news. Immediacy beats optimal timing. Post ASAP.

Scheduled Posting Support

Several platforms support scheduling posts to go live at a specific future time. When the optimal time isn't "right now", use native scheduling.

Platform	Native Scheduling	How
X/Twitter	Yes	Compose dialog has a calendar icon; or xurl post "text" --scheduled-at "2026-03-05T14:00:00Z" if supported
LinkedIn	Yes	Compose dialog > click clock icon > set date/time before clicking Post
Instagram	Yes (Creator Studio)	Via Creator Studio or Meta Business Suite > Schedule option
Facebook	Yes	Compose > click dropdown on Publish button > Schedule
YouTube	Yes	Studio > Upload > set "Schedule" instead of "Publish"
TikTok	Yes	TikTok Studio > upload > toggle "Schedule" > pick date/time
Reddit	No	Must post in real-time
Threads	No	Must post in real-time
dev.to	No	Can save as draft, publish manually later
Discord	No	Must post in real-time (or use a bot with cron)
Telegram	Yes	Bot API sendMessage with schedule_date parameter (Unix timestamp)

Workflow for scheduled posts:

1. Analyze optimal time (Tier 1 or Tier 2 above)
2. Present recommendation: "Based on your analytics, best time is [X]. Schedule for [datetime]?"
3. After approval, set up scheduling on platforms that support it
4. For platforms without scheduling (Reddit, Threads, Discord, dev.to), note the target time and remind the user, or set a system reminder
5. Verify scheduled posts are queued (navigate to scheduled posts section on each platform)

Cross-Platform Video Rollout Strategy

When posting the same video across YouTube, TikTok, and Instagram Reels, stagger the releases. Same-day cross-posting can suppress reach on all platforms because each algorithm checks for originality.

Day	Platform	Rationale
Day 0	YouTube (Shorts or long-form)	YouTube rewards original uploads — post here FIRST
Day 2-3	TikTok	Safe gap — YouTube's originality signal is indexed
Day 3-4	Instagram Reels	Another day buffer — IG also penalizes cross-posted content

The 2-3 day gap is the sweet spot. Adjust based on analytics — if a platform consistently underperforms, it can go later in the sequence.

YouTube Video Upload

YouTube video upload requires a hybrid AppleScript + browser automation approach because CDP cannot set files on YouTube Studio's native file input.

Quick summary:

1. Navigate to youtube.com/upload
2. Click "Select files" → opens native macOS file picker
3. AppleScript drives the file picker (Cmd+Shift+G → type path → Enter)
4. Fill metadata (title, description, tags, category, language) via JavaScript
5. Navigate tabs → set Public → Publish

Full guide: references/youtube-studio-upload.md

Telegram Posting

Two approaches depending on the context. Use Bot API for broadcast channels (most reliable). Use web client automation when Bot API isn't available or the user is posting to a personal chat/group.

Option A: Bot API (Preferred — Broadcast Channels)

# Photo with caption
curl -X POST "https://api.telegram.org/bot$TELEGRAM_BOT_TOKEN/sendPhoto" \
  -F "chat_id=$CHANNEL_ID" \
  -F "photo=@image.png" \
  -F "caption=Your caption" \
  -F "parse_mode=Markdown"

# Scheduled post (Unix timestamp)
curl -X POST "https://api.telegram.org/bot$TELEGRAM_BOT_TOKEN/sendPhoto" \
  -F "chat_id=$CHANNEL_ID" \
  -F "photo=@image.png" \
  -F "caption=Your caption" \
  -F "schedule_date=1735689600"

Option B: Web Client Automation (web.telegram.org)

Use this when Bot API is unavailable or when posting to chats/groups as a user (not a bot). The web client flow has several non-obvious failure points — follow every step exactly.

Step 1: Open the chat and locate the attachment button

// The "Add an attachment" button (paperclip icon)
// Use Playwright snapshot to find it — selector is unreliable across builds
// browser snapshot → find button with aria-label or tooltip "Add an attachment"
// browser act click ref=<ref>

Step 2: Click "Photo or Video" from the dropdown

// The dropdown uses class .MenuItem
// Find by text content — don't use index (menu order can change)
const menuItems = document.querySelectorAll('.MenuItem');
const photoItem = Array.from(menuItems).find(el => el.textContent?.includes('Photo or Video'));
photoItem.click();
// This triggers a native macOS file picker dialog

⚠️ CRITICAL: Do NOT click in the wrong area before this step. The emoji picker can open instead of the attachment menu if focus is in the wrong element. If the emoji picker opens: press Escape, then re-click the correct attachment icon.

Step 3: Handle the native file picker — keyboard language issue

The native macOS file picker opens in whatever language the system keyboard is set to. If the user has a non-Latin layout (Russian, etc.), Cmd+Shift+G + typing the path will produce garbage. Always switch to English first.

import subprocess, time

# Switch to English input source BEFORE the file picker opens
original_lang = ensure_english_input_source()  # see AppleScript section
time.sleep(0.3)

# CDP approach (more reliable than AppleScript typing):
# Find the hidden file input that the native picker backs
# input[type='file'][accept*='image'] or input[type='file'][accept*='video']
# await page.evaluate(() => {
#   const input = document.querySelector("input[type='file'][accept*='image']");
#   if (input) input.click();  // triggers native picker
# });
# Then use DOM.setFileInputFiles to set the file without native picker:
# cdp.send('DOM.setFileInputFiles', { files: ['/abs/path/to/image.jpg'], nodeId: inputNodeId })

AppleScript fallback (when CDP file input isn't accessible):

-- Needs generous delays — the file picker dialog takes time to fully render
tell application "System Events"
    tell process "Google Chrome"
        delay 2
        keystroke "g" using {command down, shift down}
        delay 2
        -- Type the FULL absolute path
        keystroke "/absolute/path/to/image.jpg"
        delay 1
        key code 36  -- Enter (confirm path in Go To Folder)
        delay 2
        key code 36  -- Enter again (confirm file selection)
    end tell
end tell

After file selection, restore the original input source:

restore_input_source(original_lang)

Step 4: "Send Photo" dialog — caption field

After file selection, Telegram opens a "Send Photo" preview dialog with a caption field and a Send button.

// The caption field is NOT a standard contenteditable="true" div
// It's: div.form-control.allow-selection inside the modal
// Standard .innerText = text or insertText CDP call will NOT work reliably

// Approach 1: Focus + Paste (most reliable)
const modal = document.querySelector('.send-photo-modal, [class*="SendPhoto"]');
const captionField = modal?.querySelector('.form-control.allow-selection');
captionField.click();
captionField.focus();
// Then use Python subprocess pbcopy + AppleScript Cmd+V to paste caption
// (same pattern as for Twitter/Threads — avoids encoding issues)

// Approach 2: CDP insertText after focus (if paste unavailable)
// cdp.send('Input.insertText', { text: captionText })
// Only use this for ASCII-only captions — emoji and non-Latin chars may garble

Paste caption via Python (encoding-safe):

import subprocess

caption_text = "Your caption text here"
subprocess.Popen(['pbcopy']).communicate(caption_text.encode('utf-8'))
time.sleep(0.2)
subprocess.run(['osascript', '-e', 'tell application "Google Chrome" to activate'])
subprocess.run(['cliclick', 'kd:cmd', 't:v', 'ku:cmd'])
time.sleep(0.3)
# Verify the text appeared in the caption field before sending

⚠️ CRITICAL: Do NOT press Enter in the caption field. Enter adds a newline, it does NOT send the message.

Step 5: Click Send

The Send button text is "Send" (capitalized, not "SEND"). The class pattern varies by Telegram build version.

// Find by text content — more stable than class selector
const modal = document.querySelector('.popup, [class*="SendPhoto"], [class*="Modal"]');
const buttons = modal ? modal.querySelectorAll('button, [class*="Button"]') : [];
const sendBtn = Array.from(buttons).find(el => el.textContent.trim() === 'Send');
if (!sendBtn) throw new Error('Send button not found — modal may have closed or class changed');
sendBtn.click();

// Fallback if text search fails: look for the primary button
// class pattern: Button <hash> smaller primary inline
const primaryBtn = modal?.querySelector('[class*="Button"][class*="primary"]');
primaryBtn?.click();

Full Telegram web client gotcha list:

Gotcha	What happens	Fix
Emoji picker opens	Clicked in message input area before attachment	Press Escape, re-click the paperclip icon
Russian/non-Latin file picker	Path typed in wrong keyboard layout	ensure_english_input_source() before file picker opens
Caption field rejects insertText	Not a standard contenteditable	Focus + Python pbcopy + Cmd+V paste
Enter key doesn't send	Adds newline in caption	Click the Send button, never press Enter
Send button not found	Class hash changed in new Telegram build	Search by textContent === 'Send' first
File picker closes without selecting	Not enough delay after Cmd+Shift+G	Increase delay to 2s between each AppleScript step
Modal closes unexpectedly	Escape was sent accidentally	Catch modal close event; re-open attach flow from Step 1

---

Deduplication: Reading Recent Posts

Before posting, check what was recently published to avoid repetition.

How to Check Per Platform

Platform	Method
X/Twitter	xurl timeline -n 10 or navigate to profile
LinkedIn	Navigate to company/personal page, read last 10 posts
Instagram	Navigate to profile grid, check last 10 posts
Threads	Navigate to profile, read last 10
Reddit	Navigate to user profile, check recent submissions
dev.to	Navigate to profile/dashboard, check recent articles
Discord	discord readMessages or scroll channel history
Telegram	curl "https://api.telegram.org/bot$TOKEN/getUpdates" or check channel
YouTube	Navigate to channel Posts tab
Facebook	Navigate to page/profile
TikTok	Navigate to profile

If you find a recent post covering the same topic, present the overlap to the user before proceeding.

---

Daily Engagement

Growing an audience requires showing up in other people's conversations. After publishing your own content, spend time engaging with the community.

Read references/engagement-playbook.md for the full strategy. The summary:

The 10-Thread Rule

For each platform, find 10 active threads related to your topics and leave a thoughtful reply. That's 10 per platform, not 10 total.

Drafting Replies

Draft all 10 replies for a platform, then present them as a batch for approval:

Platform: X/Twitter
Thread 1: [link to thread]
  Reply: "Your drafted reply here"

Thread 2: [link to thread]
  Reply: "Your drafted reply here"

...approve all / edit / skip specific ones?

Wait for approval before posting any replies.

Reply Quality Rules

• 1-3 sentences max
• Add genuine value -- a new perspective, relevant data, a follow-up question
• Sound human -- match the platform's tone
• Never use em dashes -- use commas, periods, or conjunctions instead
• Don't force self-promotion -- maybe 1-2 out of 10 naturally reference your work

Anti-Spam Safeguards

• Reddit: Max 3 comments per thread/hour. Max 5 total in 30 min. Space 5-10 min apart.
• X/Twitter: Max 5 replies in 10 minutes. Vary length and style.
• LinkedIn: Max 5-7 comments per hour. No identical phrasing.
• General: If CAPTCHA or rate limit appears, stop immediately and report it.

---

Post-Publication Verification

This is mandatory, not optional. Never report a post as done without completing this. Encoding artifacts and missing images are common silent failures that only show up in the published post.

Step 1: Navigate to the Post URL

Immediately after publishing, collect the exact URL of the post (platform should return or display it). Navigate to that URL directly — do not stay on the compose page or assume the feed view matches the actual post.

Step 2: Screenshot the Published Post

Use Peekaboo to take a screenshot of the published post as it actually appears:

# Navigate Chrome to the post URL first, then screenshot it
peekaboo see --app "Google Chrome" --path /tmp/post-verify.png

# Or via Puppeteer — navigate to the URL and screenshot
# await page.goto(postUrl); await page.screenshot({ path: '/tmp/post-verify.png' });

Show the screenshot to the user using the Read tool so they can see the post without opening a browser.

Step 3: Check Text Encoding

Extract the visible post text and scan for encoding artifacts. Common failure signatures:

Artifact	Cause	Looks like
‚Äî	UTF-8 em dash decoded as Mac Roman	word‚Äîword instead of word—word
é, è, Ã	UTF-8 accented chars decoded as Latin-1	caf‚Äö√†√†
“ / â€	Curly quotes garbled	“quoteâ€
	BOM at start of text	First char looks like a bullet
Lone ? replacing chars	Wrong encoding on clipboard paste	word?word
Cyrillic/Hebrew/Arabic in a Latin post	Wrong keyboard input source active during typing	Random non-Latin chars mid-sentence

import re

def check_encoding_artifacts(text):
    """Detect common encoding corruption patterns in post text."""
    patterns = [
        (r'â€[œ"â]', 'Garbled curly quotes (UTF-8 → Latin-1 mismatch)'),
        (r'—|”|“', 'Garbled em dash or curly quotes (Mac Roman mismatch)'),
        (r'Ã[©¨ ¢£¤¥¦§]', 'Garbled accented characters'),
        (r'', 'BOM character at start'),
        (r'[А-Яа-яЁё]{2,}', 'Cyrillic characters (possible keyboard language leak)'),
    ]
    issues = []
    for pattern, description in patterns:
        if re.search(pattern, text):
            issues.append(description)
    return issues

# Usage: extract text from the DOM, then:
# issues = check_encoding_artifacts(post_text)
# if issues: report them and flag the post for correction

If artifacts are found: report them immediately with the screenshot, do NOT mark the post as done. The user needs to edit the post to fix the text.

Step 4: Check Image / Video Attachment

Visually confirm in the screenshot:

• Image posts: The image thumbnail is visible in the post body (not just in the composer)
• Video posts: The video player/thumbnail is visible; click play if possible to confirm the video loads
• Carousels: The first slide is visible and is the correct hook image (not a blank or wrong slide)
• Thread/Twitter with image: The image appears inline below the tweet text, not as a broken link icon

If the image or video is missing from the screenshot of the live post: stop, report it, and do NOT mark the post as done.

Step 5: Report to User

After verification, present a clear summary:

✅ Post verified at: [URL]
   Screenshot: [show inline via Read tool]
   Text: OK / ⚠️ ENCODING ISSUE FOUND: [describe]
   Image: Attached / ⚠️ MISSING — post needs to be corrected
   Video: Attached / ⚠️ MISSING

If any check fails, provide the screenshot and specific fix instructions before marking the platform as done.

---

Post-Publishing Checklist

• Image preview confirmed visible in compose dialog BEFORE clicking Post (X/Twitter and Threads: mandatory)
• Navigated to the exact published post URL
• Screenshot taken and shown to user (Peekaboo or Puppeteer)
• Text encoding checked — no garbled characters (—, é, Cyrillic in wrong context, etc.)
• Image/video confirmed present in published post (not just in composer)
• Exact URL collected and logged
• Save post to post-history/YYYY-MM-DD-topic.md with content, platforms, and asset paths
• Suggest follow-up: respond to comments within the first hour (this is when algorithms decide reach)
• Check analytics in 24-48 hours

---

When Things Go Wrong

Problem	What to do
No GEMINI_API_KEY	Deliver copy only, skip images/video, tell user how to set the key
Image generation fails	Retry with alternative prompt, or ask user to create images manually
Veo generation fails or times out	Fall back to Ken Burns slideshow (Option B) or UGC script (Option C)
Veo returns 400 on durationSeconds	Ensure value is a number (6) not a string ("6")
Veo download returns 403	Append &key=API_KEY to the download URI
Browser won't open / Puppeteer fails	Try Peekaboo, then Chrome-open fallback, then print URLs for manual posting
A platform is down or needs re-auth	Skip it, note it, user handles auth
No product context file	Ask user for basic brand/audience info, or proceed with generic tone
CAPTCHA or rate limit	Stop immediately, report to user
Post verification fails	Be honest, never report unverified posts as successful
Published post has garbled text (—, ̩, etc.)	UTF-8/Mac Roman encoding mismatch from clipboard
Published post has Cyrillic or wrong-language characters mid-text	Non-Latin keyboard was active during typing
Image/video missing from live post (was visible in composer)	Silent attachment failure — post went live without media
Post URL not returned by platform	Browser automation didn't capture the redirect URL
Instagram: caption is empty in the published post but user asked for text	Caption was dropped — either not passed to configure_sidecar, or textarea cleared during browser automation
Instagram: post went up image-only but user wanted text	Ambiguity in the request was resolved wrong
Instagram: "uploaded image isn't in an allowed aspect ratio"	Image ratio is outside 0.8–1.91 range
Instagram: image rejected but ratio looks fine	Ratio is fine but file is under 320px on shortest side or over 8MB
Instagram: all carousel slides rejected	Slides have different aspect ratios

---

Daily Engagement Log

After ALL posting and engagement is complete, write a log file:

File: memory/YYYY-MM-DD-engagement-log.md

# Engagement Log -- YYYY-MM-DD

## Posts Published
- **X/Twitter**: [URL]
- **LinkedIn**: [URL]
- **Instagram**: [URL]
...

## Engagement Replies
### X/Twitter (10 replies)
1. [thread URL] -- "reply text snippet..."
...

---

Reference Files

• references/platform-posting.md -- Detailed platform-specific technical guides (selectors, upload flows, encoding, workarounds, Chrome profile setup, Puppeteer patterns)
• references/youtube-studio-upload.md -- YouTube Studio video upload workflow (hybrid AppleScript + browser automation, DOM selectors, metadata, subtitles, tags)
• references/engagement-playbook.md -- Deep dive on engagement strategy, finding threads, crafting replies, platform-specific tone guides
• generated-assets/copy/ -- Per-platform copy files (generated per session)
• post-history/ -- Post logs by date (generated per session)

---

Related Skills

When you need deeper strategy, invoke the relevant skill:

• social-content -- platform strategies, content pillars, hook formulas, engagement tactics
• copywriting -- landing page-quality copy principles (clarity, benefits, specificity)
• ad-creative -- headline formulas, value propositions, scaled creative production
• marketing-psychology -- cognitive biases, persuasion principles, behavioral triggers
• copy-editing -- polish, conciseness, tone consistency
• content-strategy -- pillar planning, calendar structure, audience mapping
• nano-banana-pro -- AI image generation via Gemini (used directly by this skill)