dpd-database-query
Query the Digital Pāḷi Dictionary database to find words, roots, definitions, and related information
Query the Digital Pāḷi Dictionary database to find words, roots, definitions, and related information
Research standards/patterns via MCP Ref. Generates Standards Research for Story Technical Notes subsection. Reusable worker.
Conducts a focused review from ONE specific specialist's perspective (e.g., Security Specialist, Performance Expert). Use when the user requests "Ask [specialist role] to review [target]", "Get [specialist]'s opinion on [topic]", "Have [role] review [code/component]", or when they want deep expertise in ONE specific domain. Do NOT use for comprehensive multi-perspective reviews (use architecture-review instead) or for listing available specialists (use list-members instead).
Structure and write comprehensive research reports with proper citations. Use when finalizing research findings into a formal report.
Search academic paper repositories (arXiv, Semantic Scholar) for scholarly articles in physics, mathematics, computer science, quantitative biology, AI/ML, and related fields
This skill should be used when users explicitly request academic papers, recent research, most cited research, or scholarly articles about longevity, aging, lifespan extension, or related topics. Triggers on phrases like "find papers on", "latest research about", "most cited studies on", or "academic literature about" in the context of longevity.
This skill should be used when the user asks to "summarize videos", "summarize podcasts", "research a topic using media", "bulk summarize content", "scan YouTube channels", "scan podcast feeds", "create podcast notes", "digest conference talks", "summarize Apple Podcasts", or mentions video/podcast research, media summarization, or bulk content processing.
Multi-model AI consultation and research. Supports CONSULTATION MODE (ask single expert), RESEARCH MODE (parallel multi-agent), or DELIBERATION MODE (agents debate and refine). USE WHEN user says 'ask gemini', 'consult codex' (consultation), 'do research' (research), or 'deliberate on' (deliberation).
Real-time web research using Gemini's Google Search. Trigger when user needs current information ("search with Gemini", "find current info about X", "what's the latest on Y"), library/API research, security vulnerability lookups, or comparisons requiring recent data.
Searches the aem.live documentation for information on AEM Edge Delivery Services features. Use this skill when you need more information about a feature, want guidance on how to implement a feature, and using existing tools you have to search the web isn't turning up relevant results.
Research methodologies and documentation gathering workflows for PACT Prepare phase. Use when: conducting technology research, evaluating API documentation, comparing framework options, analyzing library choices, gathering requirements, or creating technology comparison matrices. Triggers on: research, requirements gathering, API exploration, documentation review, technology evaluation, library comparison, prepare phase.
Multi-source comprehensive research using perplexity-researcher, claude-researcher, and gemini-researcher agents. Launches up to 10 parallel research agents for fast results. USE WHEN user says 'do research', 'research X', 'find information about', 'investigate', 'analyze trends', 'current events', or any research-related request.
Provides the complete content of 'The Swift Programming Language (6.2.3)' book by Apple. Use this skill when you need to verify Swift syntax, look up language features, understand concurrency, resolve compiler errors, or consult the formal language reference.
Updates the Monarch Initiative publications page with latest data from Google Scholar. Use this when the user asks to update publications, refresh citation metrics, or add new papers to the publications page.
Guidance for text embedding retrieval tasks using sentence transformers or similar embedding models. This skill should be used when the task involves loading documents, encoding text with embedding models, computing similarity scores (cosine similarity), and retrieving/ranking documents based on semantic similarity to a query. Applies to MTEB benchmark tasks, document retrieval, semantic search, and text similarity ranking.
Search Yelp for local businesses, get contact info, ratings, and hours. Use when finding services (cleaners, groomers, restaurants, etc.), looking up business phone numbers to text, or checking ratings before booking. Triggers on queries about finding businesses, restaurants, services, or "look up on Yelp".
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 document analysis. Includes domain-specific stopwords for AI/ML and life sciences. Optional deeper extraction mode (n=2+n=3 combined) for comprehensive coverage.
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, asks to "review this paper", or mentions technical content in domains like RAG, embeddings, fine-tuning, prompt engineering, LLM deployment.
web search API. Use when you need current information, documentation, or to research topics on the web.
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, synthesis across multiple sources, or when Claude's knowledge may be outdated or incomplete. Triggered by "Research", "Investigate", "What's current on", "Latest info on", complex queries needing validation, or technical topics with recent changes.
Search, filter, and retrieve Claude/Codex history indexed by the memex CLI. Use when the user wants to index history, run lexical/semantic/hybrid search, fetch full transcripts, or produce LLM-friendly JSON output for RAG.