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Generate images using OpenAI (default) or Gemini. Use when asked to generate, create, or make images. Supports text-to-image and image editing with reference images.
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Baseado na classificação ocupacional SOC
Plans, audits, and implements scalable programmatic SEO systems with URL inventory, intent mapping, metadata, schema, internal linking, sitemaps, ISR/static rendering, and quality gates. Use when the user mentions 'programmatic SEO,' 'pSEO,' '100k pages,' 'generate SEO pages,' 'scaled landing pages,' 'template pages,' 'SEO page factory,' 'dynamic SEO routes,' 'sitemap shards,' 'keyword cannibalization,' 'doorway pages,' or 'thin content at scale.' Does not replace general SEO audits, AI SEO citation work, or llms.txt tasks unless PSEO scale is central.
Use when setting up, deploying, or debugging Nia's Twilio-based channels: voice (phone), SMS, and WhatsApp. All three share one Twilio number, one webhook server, and one set of credentials under channels.twilio. Covers config schema, cloudflared named-tunnel setup, Twilio Console webhook wiring, `nia phone` CLI, `place_call` / `send_message` MCP tools, the WhatsApp Sandbox 24h customer-service window, and the shared TwilioWebhookServer's dedup + rate-limit middleware. Trigger on mentions of "phone", "call", "voice", "sms", "whatsapp", "twilio", "realtime", "media stream", "cloudflared", or when deploying Nia to a new machine and a Twilio surface needs to come up.
Persistent task management via Beads CLI (bd). Use when user mentions tasks, todos, issues, or tracking work. Check `which bd` first — if missing, offer: `npm install -g @beads/bd`. All commands: run from `$BEATS_DIR` (for example `~/.niahere/beads`) and use `bd <command>`. Always label: `--label project:<project-name>`. Run `bd --help` or `bd help --all` for available commands. Not for ephemeral in-conversation tracking.
QA test a web application using Playwright. Use when asked to "qa", "QA", "test this site", "find bugs", "dogfood", "verify frontend behavior", "check UI rendering", "test user flows", "debug visual issues", "take a snapshot", "take a screenshot", "browser automation", "Playwright MCP", "ref system", or review quality of any web app (local or deployed). Five modes: diff-aware (auto on feature branches), full (systematic exploration), quick (30-second smoke test), single-page (verify one page or component), regression (compare against baseline). Produces structured report with health score, screenshots, and repro steps. Uses Playwright MCP tools or CLI fallback. Includes Playwright MCP reference (tool selection, ref system, token optimization, session management).
Transcribe or subtitle audio/video files using whisper.cpp (whisper-cpp), with a default medium model path and ffmpeg-based extraction.
Create beautiful, performant SVG animations and illustrations. Use this skill when the user asks to create SVG graphics, icons, illustrations, animated logos, path animations, morphing shapes, loading spinners, or any animated SVG content. Covers SMIL animations, CSS-driven SVG animation, path drawing effects, shape morphing, motion paths, gradients, masks, and filters.
| name | image-generation |
| description | Generate images using OpenAI (default) or Gemini. Use when asked to generate, create, or make images. Supports text-to-image and image editing with reference images. |
General-purpose image generation skill supporting OpenAI (default) and Gemini.
scripts/generate_image.py — zero external dependencies (stdlib only).
API keys in ~/.niahere/config.yaml:
openai_api_key: sk-...
gemini_api_key: AIza...
Or set via CLI or environment variables:
nia config set openai_api_key sk-...
nia config set gemini_api_key AIza...
Keys are resolved in order: --api-key flag > env var ($OPENAI_API_KEY / $GEMINI_API_KEY) > config.yaml.
| Provider | Default Model | Alternatives |
|---|---|---|
| OpenAI (default) | gpt-image-2 | gpt-image-1.5, gpt-image-1-mini |
| Gemini | gemini-3.1-flash-image-preview (Nano Banana 2) | gemini-3-pro-image-preview (Nano Banana Pro), gemini-2.5-flash-image (GA) |
gpt-image-2 (Apr 2026) is the current OpenAI flagship — native reasoning, up to 16 reference images, native 2K. dall-e-2/dall-e-3 were shut off on the API on May 12, 2026.
| Model | Price |
|---|---|
gpt-image-2 | ~$0.006 (low) → $0.053 (medium 1024) → $0.35 (high 4K). Token-based; Batch API −50%. |
gpt-image-1.5 | ~20% cheaper than gpt-image-1 across tiers |
gpt-image-1 | low $0.011, medium $0.042, high $0.167 (1024²) |
gemini-3-pro-image-preview | $0.134 (1K/2K), $0.24 (4K) |
gemini-3.1-flash-image-preview | $0.045 (512), $0.067 (1K), $0.101 (2K), $0.151 (4K) |
gemini-2.5-flash-image | $0.039 standard, $0.0195 batch |
SCRIPT="$(dirname "$0")/scripts/generate_image.py" # or the absolute path under your skills dir
# Basic generation (OpenAI gpt-image-2, default)
python3 $SCRIPT --prompt "A sunset over mountains"
# High quality
python3 $SCRIPT --prompt "Oil painting of a forest" --quality high
# 2K output (OpenAI gpt-image-2; Gemini 2K via --resolution)
python3 $SCRIPT --prompt "Detailed cityscape" --resolution 2K
# Aspect ratio
python3 $SCRIPT --prompt "Portrait photo" --aspect-ratio 3:4
# With reference image (OpenAI edit mode)
python3 $SCRIPT --prompt "Add a rainbow to this scene" --reference photo.png
# Gemini provider
python3 $SCRIPT --provider gemini --prompt "Watercolor sunset" --aspect-ratio 16:9
# Gemini 4K (use Pro — 3.1 Flash currently ignores 2K/4K and returns ~1K)
python3 $SCRIPT --provider gemini --model gemini-3-pro-image-preview \
--prompt "Cinematic landscape" --resolution 4K --aspect-ratio 16:9
# Gemini with reference
python3 $SCRIPT --provider gemini --reference face.png \
--prompt "Same person sitting in a cafe, natural lighting" --aspect-ratio 9:16
# Custom output location
python3 $SCRIPT --prompt "A cat" --output /path/to/output/
| Use Case | Ratio | Notes |
|---|---|---|
| Square / social | 1:1 | Default |
| Portrait | 3:4 or 2:3 | Vertical |
| Landscape | 4:3 or 16:9 | Wide |
| Phone / story | 9:16 | Vertical tall |
| Ultrawide | 21:9 | Cinematic |
OpenAI maps ratios to closest supported size. At --resolution 1K (default): 1024x1024, 1024x1536, 1536x1024. At --resolution 2K: 2048x2048, 1536x2048, 2048x1536 (gpt-image-2 only; dims must be multiples of 16, max ~2048).
--resolution)1K (default) or 2K (gpt-image-2 only).1K (default), 2K, or 4K. Caveat: gemini-3.1-flash-image-preview currently ignores 2K/4K and returns ~1K — use gemini-3-pro-image-preview for true 2K/4K.--quality)Applies to all gpt-image-* models.
auto (default) — let the model decidehigh — best quality, slowermedium — balancedlow — fastest, cheapestFor photorealistic results, use structured JSON prompts covering separate concerns:
{
"subject": "description of the main subject, pose, expression",
"clothing": "specific garments, colors, fabrics",
"camera": "lens mm, aperture, shot type, angle",
"lighting": "source, direction, quality, shadows",
"environment": "setting, background elements, atmosphere",
"color_grading": "palette, contrast, mood",
"technical": "style keywords — photorealistic, 8k, hyper-detailed"
}
Key principles:
| Need | Use |
|---|---|
| General image gen, highest quality | OpenAI gpt-image-2 |
| Budget-friendly | OpenAI gpt-image-1-mini or Gemini gemini-2.5-flash-image |
| Reference-based identity (same face) | Gemini (better at preserving identity from reference) |
| Image editing / inpainting | OpenAI edit mode (--reference) |
| 4K output | Gemini gemini-3-pro-image-preview (--resolution 4K) |
| Free tier / no OpenAI key | Gemini |
For Bella-specific image generation (identity-locked, reference-based), use the bella skill's bella-image-generation.md workflow instead. This skill is for general-purpose image generation without persona constraints.