brainharness-cookingRecommend dishes from cravings or ingredients, then explain how to cook them with practical technique and a lightly lively tone.
Install via ClawdBot CLI:
clawdbot install zning1994/brainharness-cookingGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/zning1994/brainharness-cookingAudited Oct 5, 2026 · audit v1.0
Generated Oct 5, 2026
A busy professional stands in front of the fridge at 7pm with chicken thighs, potatoes, and onions, unsure what to make. The skill infers an ingredient-mode answer, recommends one strong dish like 土豆烧鸡腿, and gives a concise step-by-step with doneness cues. It skips lengthy clarification and delivers a cookable plan in under a minute.
A home cook's stir-fried beef turns out tough and they ask how to fix it. The skill routes to specific technique mode, reads high-frequency answers and techniques references, then explains the real causes: slicing against the grain, velvet-marinating, and high-heat quick searing. It names the most failure-prone step and gives a realistic substitution if cornstarch is missing.
Someone hosting four friends describes a craving for something sour and spicy but isn't sure what to serve. The skill uses craving mode, asks only about headcount and dietary limits, and recommends a main dish plus one backup. It accounts for home equipment feasibility, ingredient economy, and failure tolerance rather than dumping a generic recipe list.
A smart kitchen app or voice assistant embeds the skill so users can say what they have or want in Chinese and receive structured cooking guidance. The assistant reads the sauce and dish-coverage references to keep recommendations consistent, and it exposes the answer shape as tappable step cards. It bridges natural-language requests to actual kitchen execution under limited appliance setups.
A user asks what to do when they have no cooking wine (没料酒怎么办) or are missing a key sauce ingredient. The skill prioritizes the high-frequency answers reference first, offers realistic home substitutions, and explains tradeoffs honestly. It keeps the tone practical and lightly lively without turning the recipe into a performance.
Offer basic dish recommendations and standard technique answers for free, with a paid tier unlocking the full dish-coverage library, advanced sauce ratio tools, and personalized multi-day meal planning. The skill's preference for one strong recommendation over long lists makes the upgraded depth feel valuable rather than overwhelming.
License the skill to smart oven, refrigerator, or voice-assistant manufacturers so their devices can respond to natural-language Chinese cooking requests. The structured answer shape maps well to step-by-step on-screen or spoken guidance, and the allowed-tools setup lets devices read local inventory notes.
When the skill recommends a dish and lists needed ingredients or a replacement (e.g., a specific soy sauce or cornstarch), surface affiliate links for grocery delivery or cookware. Substitution guidance and 翻车提醒 naturally create high-intent purchase moments without becoming a hard sell.
💬 Integration Tip
Load the references folder first and route requests with the three entry modes before answering, so ingredient, craving, and technique queries each get the right depth. Keep the answer shape to seven concise sections and enforce the two-question clarification cap to preserve the skill's practical, non-stiff feel.
Scored Oct 5, 2026
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