query-decomposition
Query decomposition for multi-concept retrieval. Use when handling complex queries spanning multiple topics, implementing multi-hop retrieval, or improving coverage for compound questions.
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Query decomposition for multi-concept retrieval. Use when handling complex queries spanning multiple topics, implementing multi-hop retrieval, or improving coverage for compound questions.
Use this skill when researching how to implement a phase standalone, investigating implementation approaches before planning, or re-researching after planning is complete. Triggers include "research phase", "in...
Provides score interpretation (< 0.3 good, > 0.5 skip), query optimization, and source naming for query_documents, ingest_file, ingest_data tools. Use this skill when working with RAG, searching documents, inge...
Systematic research methodology for building comprehensive, current knowledge on any topic. Requires web_search tool. Use when questions require thorough investigation, recent developments post-cutoff, synthesi...
Analyze AI/ML technical content (papers, articles, blog posts) and extract actionable insights filtered through enterprise AI engineering lens. Use when user provides URL/document for AI/ML content analysis, as...
Extract keywords from documents using YAKE algorithm with support for 34 languages (Arabic to Chinese). Use when users request keyword extraction, key terms, topic identification, content summarization, or docu...
Extract wisdom, insights, and actionable takeaways from text sources. Use when asked to analyse, summarise, or extract key learnings from blog posts, articles, markdown files, or other text content.
Critical thinking and logical reasoning analysis skills for when you are explicitly asked to critically analyse written content such as articles, blogs, transcripts and reports (not code).
生成式引擎优化专家,分析和优化内容在 AI 搜索引擎(ChatGPT、Claude、Perplexity、Google SGE)中的可见性和引用率。
Research topics thoroughly and write comprehensive, well-structured content including articles, documentation, blog posts, and technical writing with proper citations and sources. Use when writing blog posts, c...
Research competitors, analyze market positioning, identify differentiators, and understand competitive landscape to inform product strategy and positioning. Use when researching competitors, analyzing features,...
Semantic search for memory. Use to find solutions, patterns, or context from Chroma Cloud.
Conduct pure research for YouTube video topics by analyzing competitors, identifying content gaps, and documenting strategic insights. Use when you need to research a video topic before planning. Produces conci...
Curated repository of experiment hypotheses, assumptions, and historical learnings.
在写作前验证选题是否值得写。当用户说"帮我调研这个选题""这个话题值得写吗""分析一下这个选题"时调用。提供热点扫描、爆款拆解、痛点验证和选题打分,确保不写"自嗨式"文章。
在文章发布前进行最终评审。当主编审稿完成后、文章准备发布时调用。通过"发布前5问"评审清单,从读者视角验证文章是否值得发布,给出通过/不通过的结论和具体修改建议。
Use when planning features and need current API docs, library patterns, or external knowledge; when testing hypotheses about technology choices or claims; when verifying assumptions before design decisions - ga...
Research standards/patterns via MCP Ref. Generates Standards Research for Story Technical Notes subsection. Reusable worker.
Research best practices via MCP Ref/Context7/WebSearch and create documentation (guide/manual/ADR/research). Single research, multiple output types.
This skill should be used when the user asks to "research a topic", "deep research", "investigate thoroughly", "multi-source research", "comprehensive analysis", or needs to conduct research across web, documen...
选题审核工具。检查选题是否符合发布标准,给出通过/不通过判断及修改建议。当用户说"审核选题"、"这个选题行不行"、"帮我看看这个能不能写"时触发。
Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but p...
Use when researching documentation, papers, or articles for insights. Triggers on "research external", "find sources", "literature review", "what do the docs say".
Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.