idea-creator
Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.
Workflow 1 adaptation for robotics and embodied AI. Orchestrates robotics-aware literature survey, idea generation, novelty check, and critical review to go from a broad robotics direction to benchmark-grounded, simulation-first ideas. Use when user says \"robotics idea discovery\", \"机器人找idea\", \"embodied AI idea\", \"机器人方向探索\", \"sim2real 选题\", or wants ideas for manipulation, locomotion, navigation, drones, humanoids, or general robot learning.
Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative Gemini review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.
Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.
Ask a natural-language question against indexed content via the Content Search RAG Q&A endpoint. Supports multi-turn conversation history (up to 3 turns by default), optional tag filtering to scope retrieval, and returns an answer with cited sources (document name, type, relevance score). Use when the user says "ask a question", "query the content", "what does the document say", "search the knowledge base", "multi-turn Q&A", "qa endpoint", "answer from documents", or "RAG question".
教非技术背景的人看懂技术架构、做好技术选型——把"只会照搬话术的小白"练成"能看穿方案好坏的人"。 当用户问"该用什么技术/框架"、"帮我选技术栈"、"AI 给的方案我看不懂"、"这几个方案怎么选", 或者需要把 demo 做成更正经的东西、要理解 AI 提出的架构时,使用此 Skill。 这是 vibe-coding-kit 套件里负责"成长"的核心 Skill:用 6 个大白话维度拷问任何方案,再配五步决策法做选择。 即使用户没明说"架构"二字,只要 ta 面对多个技术方案不知道怎么选、或看不懂 AI 的技术建议,就应主动用本 Skill。
Intelligent web scraper with content extraction, multiple output formats, and error handling
Search for existing cases related to specific indicators or entities. Use to find correlation with other investigations before starting new analysis. Takes search terms and returns matching case IDs.
Deep context extraction from source material. Creates reference bundles, builds extraction plans, tracks what's been extracted, and discovers new targets — people, subjects, patterns, connections. The archaeologist that turns raw sources into structured knowledge. Can be invoked by alive:session-history for targeted session mining.
Search across all walnuts -- decisions, people, files, references, insights, log history