Embeddings
Vector embeddings and similarity
brief-compliance
by jet52
Triggers when a user uploads a legal brief PDF for compliance review against the North Dakota Rules of Appellate Procedure. Analyzes the brief and produces an HTML compliance report with a recommended action (Accept, Correction Letter, or Reject).
ai-dev-research
by swannysec
World-expert deep technical research agent for AI-enabled software development. Use PROACTIVELY when users need: (1) Deep research on AI/ML development topics (RAG, agents, LLMs, embeddings, vector DBs, prompt engineering, fine-tuning) (2) Technical consultation on AI architectures, tool selection, or implementation approaches (3) Implementation guidance with production-ready patterns and best practices (4) Comparative analysis of AI frameworks, models, or services (5) Current state-of-the-art analysis with authoritative citations Triggers: "research AI", "compare LLMs", "RAG architecture", "agentic workflow", "AI coding tools", "which model should I use", "how does X work in AI", "best practices for AI development", "production AI systems", "AI implementation guidance"
dive
by lidessen
Dives deep into project questions using layered investigation (docs → code → analysis) to provide evidence-based answers with file:line citations. Use when asking "how does X work", "what is Y", "where is Z", or investigating features, APIs, configuration, codebase structure, or technical decisions.
tailwind-utility-styling
by Agentient
Tailwind CSS utility-first styling with mobile-first responsive design and CSS variables. PROACTIVELY activate for: (1) implementing mobile-first responsive layouts, (2) using semantic CSS variables for theming, (3) creating component variants with cva. Triggers: "tailwind", "responsive", "dark mode"
ui-ux-pro-max
by ThrownLemon
"UI/UX design intelligence. 57 styles, 96 palettes, 50 font pairings, 25 charts, 11 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Search and apply design best practices."
advanced-text-search-matching
by vishalsachdev
Production-grade text search algorithms for finding and matching text in large documents with millisecond performance. Includes Boyer-Moore search, n-gram similarity, fuzzy matching, and intelligent indexing. Use when building search features for large documents, finding quotes with imperfect matches, implementing fuzzy search, or need character-level precision.
exa-search
by benjaminjackson
Search the web for content matching a query with AI-powered semantic search. Use for finding relevant web pages, research papers, news articles, code repositories, or any web content by meaning rather than just keywords.
gemini-embeddings
by akrindev
Generate text embeddings using Gemini Embedding API via scripts/. Use for creating vector representations of text, semantic search, similarity matching, clustering, and RAG applications. Triggers on "embeddings", "semantic search", "vector search", "text similarity", "RAG", "retrieval".
exa-websets-monitor
by benjaminjackson
Use when setting up monitors - periodic searches to add new items or refresh existing items in a webset automatically.
hybrid-retrieval
by latestaiagents
Implement hybrid search combining vector and keyword retrieval for RAG systems. Use this skill when building RAG retrieval, combining semantic search with BM25, implementing reciprocal rank fusion (RRF), or optimizing retrieval accuracy. Activate when: vector search, keyword search, BM25, semantic search, hybrid RAG, retrieval optimization, search relevance, reranking.
library-ebooks
by montagao
Use when needing to look up book content inside my own Amazon (Kindle) book library (purchases + any personal docs), find a book by title/author, download an ebook I own (where Amazon permits), or reference material from a published book I’ve purchased. Triggers on book lookups, ebook downloads, "find the book", "get the PDF/EPUB of" from my library. Downloads produce PDF/EPUB/MOBI files (and may include Kindle formats depending on the title) - use ebook-extractor skill to convert to text.
jp-grants
by tumf
Collect and answer questions about Japanese subsidies/grants (補助金・助成金) with up-to-date sources. Use when a user asks: which programs they qualify for, eligibility, deadlines, required documents, application steps, or where to find official calls for proposals (e.g. J-Grants, METI/SME Agency, MHLW, prefectures/municipalities). Includes workflows and scripts for web search + structured extraction with citations.
paper-digest
by iamseungpil
Generate shareable paper summaries for Discord/Slack/Twitter. Use when user provides arxiv paper(s) and wants a digestible summary to share. Triggers on phrases like "논문 요약", "paper summary", "share this paper", "디스코드에 공유", "summarize for sharing". Produces insight-centered single-paragraph summaries that explain WHY research matters, not just WHAT it does.
by ThrownLemon
Gmail management using gmcli. Use when user wants to check, search, read, send, or manage emails.
corrective-rag
by latestaiagents
Implement Corrective RAG (CRAG) and Self-RAG for reliable, self-healing retrieval systems. Use this skill when building reliable RAG, preventing hallucinations, implementing retrieval evaluation, or adding self-correction to RAG pipelines. Activate when: corrective RAG, CRAG, self-RAG, hallucination prevention, retrieval evaluation, RAG reliability, self-healing RAG, document grading.
graphrag-patterns
by latestaiagents
Implement GraphRAG combining knowledge graphs with RAG for multi-hop reasoning. Use this skill when building knowledge graph RAG, implementing multi-hop queries, using Neo4j with RAG, or connecting entities across documents. Activate when: GraphRAG, knowledge graph, multi-hop reasoning, Neo4j RAG, entity extraction, relationship queries, graph database, connected data.
agentic-rag
by latestaiagents
Build agentic RAG systems with autonomous planning, reflection, and tool use. Use this skill when implementing agent-driven retrieval, query decomposition, iterative refinement, or multi-source RAG orchestration. Activate when: agentic RAG, A-RAG, autonomous retrieval, query planning, iterative RAG, multi-step retrieval, agent retrieval, RAG agent.
exa-websets-search
by benjaminjackson
Use for creating websets, running searches, importing CSV data, managing items, and adding enrichments to extract structured data.
todo-finder
by Dexploarer
Finds and organizes TODO, FIXME, HACK, and NOTE comments in codebase. Use when user asks to "find TODOs", "show all FIXMEs", "list action items", or "what needs to be done".
langchain-agents
by eyadsibai
Use when "LangChain", "LLM chains", "ReAct agents", "tool calling", or asking about "RAG pipelines", "conversation memory", "document QA", "agent tools", "LangSmith"
list-building
by Zuttam
Build targeted lists of potential buyers from LinkedIn based on ICP criteria. Use when user wants to find prospects, build buyer lists, search LinkedIn for customers, or define their ideal buyer profile. Not for competitor research. Can be invoked with optional campaign_id and/or criteria (e.g., "campaign_fintech_q1 VP Engineering at Series B SaaS companies in SF").
flight-search
by Olafs-World
Search Google Flights for prices, times, and airlines. No API key required.
airport-city-search
by Lap-Platform
"Airport & City Search API skill. Use when working with Airport & City Search for reference-data. Covers 2 endpoints."
rag-frameworks
by eyadsibai
Use when "RAG", "retrieval augmented generation", "LangChain", "LlamaIndex", "sentence transformers", "embeddings", "document QA", "chatbot with documents", "semantic search"