Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
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/).
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/).
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Target flow: Input is either a photo or a recipe web search Extract ingredients (Gemini Flash for photos; web_fetch text β Gemini for websites) Pull current Todoist Shopping list Compare using overlap + synonym mapping (kept conservative; only merge high-confidence equivalents like corianderβcilantro, pankoβbreadcrumbs) Update Shopping (default: add only missing items; skip salt/pepper) Use the bundled script to handle the photo β ingredients β 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 β web search, do it confirm-first using web_search + web_fetch, then feed the ingredients into the same update logic (and save the recipe).
Env: GEMINI_API_KEY (or GOOGLE_API_KEY) for Gemini Env: TODOIST_API_TOKEN for Todoist Bin: todoist (todoist-ts-cli)
Items are reformatted to start with the ingredient name, followed by a parenthetical quantity. The Shopping list is kept flat (no Todoist sections/groups).
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 (ingredients list only) or provide a manual list.
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
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