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refactor: apply FAR-95 skills review follow-ups

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- Remove `playwright-ephemeral/` and `shannon/` entirely per board direction
- Fix `minimax-image-generation/SKILL.md` so YAML frontmatter is at line 1
- Add `minimax-image-generation/scripts/generate.sh` (argparse, error-checked, executable) and document invoking it via `bash scripts/generate.sh ...`
- Deduplicate `minimax-image-generation/CLAUDE.md` against SKILL.md
- `github-app-token`: write token to `$GH_CONFIG_DIR/.gh-token` (preferred) or `$AGENT_HOME/.gh-token` (fallback), fail loudly if neither is set instead of leaking to `mktemp`
- Refresh root `CLAUDE.md` to match actual directory contents and patterns
- Add root `README.md` with human-facing skills index

Co-Authored-By: Paperclip <noreply@paperclip.ing>
This commit is contained in:
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2026-04-17 01:30:09 +00:00
parent 97f4cd7d9b
commit 8efb331334
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minimax-image-generation/CLAUDE.md
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# MiniMax Image Generation — Implementation Notes
User-facing docs (aspect ratios, usage, env vars) live in `SKILL.md`. This file is for maintenance notes only.
## API Reference
- **Endpoint**: `POST /v1/image_generation`
- **Base URL**: `https://api.minimax.io` (international) or `https://api.minimaxi.com` (China)
- **Auth**: `Authorization: Bearer <MINIMAX_API_KEY>`
- **Model**: `image-01`
- **Response**: JSON with `data.image_base64[]` array
## Example API Call
```bash
curl -X POST "https://api.minimax.io/v1/image_generation" \
-H "Authorization: Bearer ${MINIMAX_API_KEY}" \
-H "Content-Type: application/json" \
-d '{
"model": "image-01",
"prompt": "men Dressing in white t shirt, full-body stand front view image :25, outdoor",
"aspect_ratio": "16:9",
"num_images": 1,
"response_format": "base64"
}'
```
- **Response**: JSON with `data.image_base64[]` array; errors surface in `base_resp.status_code` / `base_resp.status_msg`.
## Response Format
```json
{
"data": {
"image_base64": ["<base64-encoded-jpeg>"]
},
"data": { "image_base64": ["<base64-encoded-jpeg>"] },
"model": "image-01",
"request_id": "<id>"
"request_id": "<id>",
"base_resp": { "status_code": 0, "status_msg": "success" }
}
```
## Aspect Ratios
| Ratio | Dimensions | Use Case |
|-------|-----------|----------|
| `16:9` | 1920×1080 | Desktop wallpaper, banners |
| `1:1` | 1024×1024 | Social media, profile images |
| `9:16` | 1080×1920 | Mobile wallpaper, stories |
| `4:3` | 1024×768 | Presentations |
| `3:4` | 768×1024 | Posters, portraits |
## Dependencies
- `curl` — HTTP requests
- `jq` — JSON parsing
- `base64` — Decode image data (coreutils)
All three are standard Unix tools. No Python or Node required.
## File Structure
```
minimax-image-generation/
├── SKILL.md # Skill definition + user-facing docs
└── CLAUDE.md # These implementation notes
├── SKILL.md # Skill definition + user-facing docs
├── CLAUDE.md # These implementation notes
└── scripts/
└── generate.sh # Generate images (invoke via `bash scripts/generate.sh …`)
```