Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
USDA FoodData Central 营养查询与热量估算。用来处理"食物热量/营养元素/蛋白脂肪碳水"查询,支持中文输入(如"鸡胸肉200g/米饭一碗/牛奶250ml"),需要 API key 环境变量 USDA_FDC_API_KEY。
USDA FoodData Central 营养查询与热量估算。用来处理"食物热量/营养元素/蛋白脂肪碳水"查询,支持中文输入(如"鸡胸肉200g/米饭一碗/牛奶250ml"),需要 API key 环境变量 USDA_FDC_API_KEY。
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
入口函数 / Entry functions:scripts/core.py 中的 lookup_meal(text, meal_type) / lookup_food(name, qty, unit) 结果为 JSON / Returns JSON:items + totals + questions(最多 2 个追问 / up to 2 follow-up questions)
环境变量 / Env var:SPOONACULAR_API_KEY(主数据源)/ USDA_FDC_API_KEY(后备)/ SPOONACULAR_API_KEY (primary) or USDA_FDC_API_KEY (fallback) 缓存 / Cache:CALORIE_SKILL_CACHE_DB(默认本地 sqlite / defaults to local sqlite)
scripts/core.py:主逻辑(Spoonacular 主路由 + USDA 后备)/ Main logic (Spoonacular primary routing + USDA fallback) scripts/spoonacular.py:Spoonacular API 封装 / Spoonacular API wrapper scripts/translate.py:中英食物名字典(加速缓存,非主翻译路径)/ CN→EN dictionary (acceleration cache, not the primary translation path) scripts/usda_fdc.py:USDA API 封装 + 错误处理 / USDA API wrapper + error handling scripts/parser.py:文本解析 / Text parsing scripts/units.py:默认换算表(常改)/ Unit conversion & portion defaults scripts/cache.py:SQLite 缓存 / SQLite cache scripts/cooking.py:烹饪热量修正系数(USDA 数据源)/ Cooking calorie modifiers (USDA source)
缺单位或无法换算:返回 questions 提示补充 / Missing unit or unconvertible: returns questions prompting user 401/403/429/5xx:返回明确错误信息(适合直接在 Discord 显示)/ Returns clear error messages (suitable for Discord display)
sub-agent 描述位于本 skill 的 agents/ 目录 / Sub-agent contracts are in agents/ agents/calorie-lookup-image-recognizer.md:图像识别 Sub-agent 合约 / Image Recognizer Sub-agent contract 非英语输入 → 触发 Decomposer Sub-agent(LLM 翻译 + 分解)/ Non-English input → triggers Decomposer Sub-agent (LLM translation + decomposition) 复合菜/套餐/模糊描述 → 触发 Decomposer Sub-agent / Composite dishes / set meals / ambiguous descriptions → triggers Decomposer 纯英语简单食材 → 直接调用 lookup_meal / Plain English simple ingredients → calls lookup_meal directly 见 / See WORKFLOW.md 与 / and HOOKS.md 分解后逐条调用 lookup_food(英文 name),再汇总 totals / After decomposition, calls lookup_food per item (English name), then aggregates totals scripts/translate.py 字典仅作为 Python 层的加速缓存,不替代 LLM 翻译 / The dictionary is only an acceleration cache, not a replacement for LLM translation 仍缺关键量化 → 追问最多 2 条 / Still missing key quantity data → up to 2 follow-up questions
本 skill 内所有引用均使用相对路径 / All references within this skill use relative paths(例如 / e.g. scripts/core.py、agents/、references/usda_fdc.md)
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