القائمة
Create or update a creator style profile — analyzes video content to extract editing style, pacing, color palette, and aesthetic direction for use in all future editing decisions.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
You MUST use this whenever the user asks for video editing work. Use it when video-related tasks are brought up. Editing, analyzing video, or transcribing videos
Find and download real images from the web — people, logos, brand/event stills, B-roll — to add as overlay image cards or project assets. Load when the prompt asks to source or insert images (e.g. 'add a photo of X', 'find images of the IPO', 'pull a shot of the factory').
Agent-authored workflow task: analyze transcripts across all clips, pick ONE best take per script section, discard all others. Load this when you hit montaj/select_takes in a workflow.
Write a custom JSX overlay component and add it to the project's overlay track.
Agent-authored workflow task: transcribe-and-sample one long-form horizontal source, pick N self-contained clip windows, and fan each out into its own vertical (9:16) clip project with the chosen framing. Load this when you hit montaj/find_clips in a workflow.
The shared vocabulary that domain skills use to name Montaj operations. Domain skills phrase every Montaj interaction as one of these verbs; an interface skill defines how each verb is actually performed. Load this to learn the canonical verbs before authoring or reading a domain skill.
| name | style-profile |
| description | Create or update a creator style profile — analyzes video content to extract editing style, pacing, color palette, and aesthetic direction for use in all future editing decisions. |
A creator profile captures the visual and editorial identity of a single social media account. Once created, it gets injected into the agent context for every project that account produces — shaping every editing decision automatically.
Profiles live at ~/.montaj/profiles/<name>/ and contain:
style_profile.md — the injected artifact (load this into CLAUDE.md); includes pacing data, color palette, editorial direction, and gap analysis vs. inspirationanalysis_current.json — source of truth for all stats and colors (written by montaj profile analyze)frames/ — representative sample stillsoverlays/ — creator-specific overlay assetsWork through these steps conversationally. Don't batch all questions upfront — ask one thing at a time and respond to the user's answers naturally.
Ask: "Which account is this profile for?"
Get a clean identifier (no @ symbol, lowercase, e.g. thesampadilla). This becomes the directory name.
Check if a profile already exists:
ls ~/.montaj/profiles/<name>/ 2>/dev/null
If it exists, ask: "I found an existing profile. Do you want to update it, or start fresh?"
Ask: "Where is your content? You can paste a TikTok/Instagram/YouTube URL, or give me a path to a folder of videos on your machine."
If URL(s): Use the fetch step to download. Ask how many recent videos to analyze (suggest 10–20 for a good sample).
If multiple URLs are provided (e.g. several individual video links), fire all fetch calls as parallel tool calls — do not download sequentially.
montaj fetch --url <url1> --out ~/.montaj/profiles/<name>/videos/current/
montaj fetch --url <url2> --out ~/.montaj/profiles/<name>/videos/current/
# ... fire all simultaneously
For a single profile or channel URL with --limit, one fetch call is sufficient.
montaj fetch --url <url> --out ~/.montaj/profiles/<name>/videos/current/ --limit 15
If local path: Use the directory directly. List files to confirm.
Ask: "Do you have any accounts you want to draw inspiration from? These help build a gap analysis — what your current style is vs. what you're aiming for. (Skip this if you just want to capture your current style.)"
If yes: repeat Step 2 for each inspiration account, using --source inspired and a separate download directory.
Run current and inspired analyses as parallel tool calls if both are being collected — they are fully independent.
For the current content:
python $MONTAJ_ROOT/profiles/analyze.py \
--name <name> \
--videos <list of video paths> \
--source current \
--out ~/.montaj/profiles/<name>/
If inspiration videos were collected, fire simultaneously:
python $MONTAJ_ROOT/profiles/analyze.py \
--name <name> \
--videos <list of inspired video paths> \
--source inspired \
--out ~/.montaj/profiles/<name>/
analyze.py processes its video list sequentially internally. If the list is large (>10 videos) and speed matters, split it into batches and run multiple analyze calls in parallel, then note that the synthesis in Step 6 will only use one analysis file per source type — use the largest/most representative batch.
Report what was found: duration, cut frequency, speech rate. Something like:
"Analyzed 12 videos. Average length: 38s, ~18 cuts/min, 156 WPM speech rate."
This is the part analysis alone can't do. Ask targeted questions to capture the subjective aesthetic. Pick 2–4 of these based on what the data already revealed — don't ask all of them.
If inspiration was provided, ask: "What specifically do you like about [inspiration account]? Is it the pacing, the storytelling format, the visual style, the personality — or something else?"
Synthesize the answers into a 2–4 sentence editorial direction. Read it back: "Here's what I'll put in the style profile: [synthesis]. Does that capture it?"
Read ~/.montaj/profiles/<name>/analysis_current.json (and analysis_inspired.json if present) and write ~/.montaj/profiles/<name>/style_profile.md directly.
The file must open with YAML frontmatter followed by the full profile body:
---
username: @<handle>
links: <comma-separated profile URLs>
style_summary: <one sentence — the creator's style in plain English>
content_overview: <2–3 sentences — what they make, who it's for, what makes it work>
created: <ISO timestamp — written by analyze, never change>
updated: <ISO timestamp — written by analyze, never change>
videos_current: <count — written by analyze, never change>
videos_inspired: <count if applicable — written by analyze, never change>
---
## Editorial Direction
...
## Pacing & Rhythm
...
## Color Palette
...
## Format
...
## Gap Analysis ← only if inspiration content was analyzed
...
*Analyzed from N videos. Generated YYYY-MM-DD.*
To make the profile available in all Claude Code sessions, the following line should be added to ~/.claude/CLAUDE.md under a ## Montaj Profiles section:
@~/.montaj/profiles/<name>/style_profile.md
Offer to do this for the user: "Want me to add this to your global Claude config so it's always in context?" If yes, read ~/.claude/CLAUDE.md, append the section if it doesn't exist, and add the line.
For MCP-enabled agents (Claude Desktop, OpenClaw) — the profile is available as a resource automatically: montaj://profile/<name>
When updating an existing profile:
montaj profile analyze only on new content if incremental, or all content if full refreshstyle_profile.md with the updated data and any revised editorial directionbase.en model by default.pip install Pillow). If not installed, colors will be skipped but everything else works.fetch requires yt-dlp (brew install yt-dlp or pip install yt-dlp).fetch fails, ask the user to log in with yt-dlp --cookies-from-browser chrome and retry.--limit 15 for initial analysis. Users can always add more later.