stock-data-skill
OpenClaw Skill for stock data analysis
Turn recipes into a Todoist Shopping list. Extract ingredients from recipe photos (Gemini Flash vision) or recipe web pages (search + fetch), then compare against the existing Shopping project with conservative synonym/overlap rules, skip pantry staples (salt/pepper), and sum quantities when units match. Also saves each cooked recipe into the workspace cookbook (recipes/).
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install borahm/recipe-to-list打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Target flow:
Use the bundled script to handle the photo → ingredients → Shopping update part.
It also automatically saves a markdown entry into recipes/ (your cookbook knowledge base) and appends to recipes/index.md.
For recipe-name → web search, do it confirm-first using web_search + web_fetch, then feed the ingredients into the same update logic (and save the recipe).
GEMINI_API_KEY (or GOOGLE_API_KEY) for GeminiTODOIST_API_TOKEN for Todoisttodoist (todoist-ts-cli)python3 skills/recipe-to-list/scripts/recipe_to_list.py \
--image /path/to/photo.jpg \
--title "<optional title>" \
--source "photo:/path/to/photo.jpg"
--model gemini-2.0-flash (default; falls back automatically) or any compatible Gemini vision model--dry-run to print extracted items without creating tasks--prefix "[Recipe] " to prefix each created task--no-overlap-check to skip checking your existing Shopping list--include-pantry to include salt/pepper--no-save to skip saving into recipes/
The script prompts Gemini to return strict JSON:
{
"items": ["2 large globe eggplants", "kosher salt", "..."],
"notes": "optional"
}
If parsing fails, rerun with a clearer crop (ingredi...
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# Create Shopping List (Gemini Flash + Todoist)
Target flow:
1) Input is either a **photo** or a **recipe web search**
2) Extract ingredients (Gemini Flash for photos; web_fetch text → Gemini for websites)
3) Pull current Todoist **Shopping** list
4) Compare using overlap + synonym mapping (kept conservative; only merge high-confidence equivalents like coriander↔cilantro, panko↔breadcrumbs)
5) Update **Shopping** (default: add only missing items; skip salt/pepper)
Use the bundled script to handle the **photo → ingredients → Shopping update** part.
It also **automatically saves** a markdown entry into `recipes/` (your cookbook knowledge base) and appends to `recipes/index.md`.
For **recipe-name → web search**, do it confirm-first using `web_search` + `web_fetch`, then feed the ingredients into the same update logic (and save the recipe).
## Prereqs
- Env: `GEMINI_API_KEY` (or `GOOGLE_API_KEY`) for Gemini
- Env: `TODOIST_API_TOKEN` for Todoist
- Bin: `todoist` (todoist-ts-cli)
## Output formatting
- Items are reformatted to start with the **ingredient name**, followed by a parenthetical quantity.
- The Shopping list is kept **flat** (no Todoist sections/groups).
## Run
```bash
python3 skills/recipe-to-list/scripts/recipe_to_list.py \
--image /path/to/photo.jpg \
--title "<optional title>" \
--source "photo:/path/to/photo.jpg"
```
### Optional flags
- `--model gemini-2.0-flash` (default; falls back automatically) or any compatible Gemini vision model
- `--dry-run` to print extracted items without creating tasks
- `--prefix "[Recipe] "` to prefix each created task
- `--no-overlap-check` to skip checking your existing Shopping list
- `--include-pantry` to include salt/pepper
- `--no-save` to skip saving into `recipes/`
## What to send to the model
The script prompts Gemini to return **strict JSON**:
```json
{
"items": ["2 large globe eggplants", "kosher salt", "..."],
"notes": "optional"
}
```
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