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/).
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install borahm/recipe-to-listInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
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...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# 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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