Douguo Recipe Collection
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About this skill
Problem
When asking an agent for recipes, common issues are unclickable results, missing fields being filled in arbitrarily, and limited mobile rendering. Users usually want to compare a few dishes quickly, then open one recipe for the full method. This skill constrains recipe lookup into a predictable Markdown output flow, reducing fabrication and format drift.
How It Works
The skill uses the Douguo food MCP and usually runs in two steps:
- Search: When the user mentions a dish or ingredient, it calls
douguo_recipe_search, returns five first-page results, and renders a table with serial number, recipe name, author, favorites, time, difficulty, and main ingredients. Recipe names userecipe_urlhyperlinks, and missing fields are shown as—. - Detail: After the user selects a recipe, it calls
douguo_recipe_detailand outputs a linked title, author, difficulty, time, description, an ingredient quantity table, and ordered steps. Ingredients must include both name and quantity, and steps must appear in order without merging or skipping.
Boundaries
- It does not auto-paginate, support exact filters, or display images, including step images.
- If MCP does not return ratings, cooking time, or difficulty, those fields must remain marked as missing instead of being inferred.
- On service errors, the response should advise retrying later or visiting the Douguo site, rather than fabricating recipe content.
Use Cases
- When preparing family dinner, search recipes by available ingredients and compare difficulty and cooking time.
- When writing assistant prompts, call Douguo search and detail tools to verify recipe links and missing-field display.
- When drafting recipe content, select one candidate and compile ingredient quantities, step order, and source links.
- When validating MCP conversation flow, trigger searches by dish or ingredient and check the fixed five-result output.
Best For
- Backend engineers integrating agent tools who need a stable recipe search-to-detail conversation flow.
- Lifestyle editors selecting recipes who need to compare difficulty, time, ingredient quantities, and sources.
- Household meal planners who want to find feasible recipes based on ingredients on hand.
- QA engineers validating model output who need to check missing fields, recipe links, and ordered steps.
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