Representacions vectorials
Representacions vectorials i similitud
ai-rag-pipeline
inference-sh
"Build RAG (Retrieval Augmented Generation) pipelines with web search and LLMs. Tools: Tavily Search, Exa Search, Exa Answer, Claude, GPT-4, Gemini via OpenRouter. Capabilities: research, fact-checking, grounded responses, knowledge retrieval. Use for: AI agents, research assistants, fact-checkers, knowledge bases. Triggers: rag, retrieval augmented generation, grounded ai, search and answer, research agent, fact checking, knowledge retrieval, ai research, search + llm, web grounded, perplexity alternative, ai with sources, citation, research pipeline"
logo-design-guide
inference-sh
"Logo design principles and AI image generation best practices for creating logos. Covers logo types, prompting techniques, scalability rules, and iteration workflows. Use for: brand identity, startup logos, app icons, favicons, logo concepts. Triggers: logo design, create logo, brand logo, logo generation, ai logo, logo maker, icon design, brand mark, logo concept, startup logo, app icon logo"
competitor-teardown
inference-sh
"Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning"
web-research
Merit-Systems
Neural web search and content extraction using x402-protected APIs. Better than WebSearch for deep research and WebFetch for blocked sites. USE FOR: - Deep web research and investigation - Finding similar pages to a reference URL - Extracting clean text from web pages - Scraping sites that block standard fetchers - Getting direct answers to factual questions - Research requiring multiple sources TRIGGERS: - "research", "investigate", "deep dive", "find sources" - "similar to", "pages like", "more like this" - "scrape", "extract content from", "get the text from" - "blocked site", "can't access", "paywall" - "what is", "explain", "answer this" Use npx agentcash fetch for stableenrich.dev endpoints. Prefer Exa for semantic/neural search, Firecrawl for direct scraping.
local-search
Merit-Systems
Search for places, businesses, and locations using Google Maps APIs via x402. USE FOR: - Finding businesses by name or type - Searching nearby places - Getting detailed place information (address, hours, reviews) - Finding restaurants, stores, services in an area - Getting business ratings and reviews TRIGGERS: - "find", "search for", "locate", "nearby" - "restaurants near", "hotels in", "stores around" - "business details", "opening hours", "reviews for" - "places in", "what's near", "directions to" Use agentcash.fetch for Google Maps endpoints. Choose partial ($0.02) vs full ($0.05-0.08) based on data needs.
people-property
Merit-Systems
Search for people and properties using Whitepages APIs via x402. USE FOR: - Finding people by name and location - Address lookups and verification - Property owner information - Background research (with legitimate purpose) TRIGGERS: - "find person", "lookup person", "who lives at" - "property owner", "property search", "address lookup" - "person at address", "contact info for" IMPORTANT: These endpoints contain personal information. Use responsibly and only for legitimate purposes. See rules/privacy.md for guidance. Use agentcash.fetch for Whitepages endpoints. Both endpoints are $0.44 per call.
memory
Chachamaru127
"Manage SSOT, memory, and cross-tool memory search. Guardian of decisions.md and patterns.md. Use when user mentions memory, SSOT, decisions.md, patterns.md, merging, migration, SSOT promotion, sync memory, save learnings, memory search, claude-mem, past decisions, record this, or cursor-mem integration. Do NOT load for: implementation work, reviews, ad-hoc notes, or in-session logging."
web-search-advanced-personal-site
exa-labs
Search personal websites and blogs using Exa advanced search. Full filter support for finding individual perspectives, portfolios, and personal blogs. Use when searching for personal sites, blog posts, or portfolio websites.
web-search-advanced-research-paper
exa-labs
Search for research papers and academic content using Exa advanced search. Full filter support including date ranges and text filtering. Use when searching for academic papers, arXiv preprints, or scientific research.
bioservices
jimmc414
"Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database)."
memory
HKUDS
Two-layer memory system with grep-based recall.
surrealdb
24601
"Expert SurrealDB 3 architect and developer skill (tracks v3.1.4+). SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema design, security, deployment, performance tuning, SDK integration (JS, Python, Go, Rust, Java, .NET, C, PHP, Swift, Kotlin, Ruby), Surrealism WASM extensions, SurrealML scope coverage (preview), built-in MCP (v3.1+) and standalone SurrealMCP, LangChain Python integration, editor tooling (LSP v0.1.6, tree-sitter, CodeMirror v1.0.6, VS Code/JetBrains/Neovim/Zed), and ecosystem integrations (Surrealist v3.9, Surreal-Sync, SurrealFS, SurrealKit v0.7, n8n, Agent Skills, setup-surreal). Universal skill for 30+ AI agents."
web-search-advanced-tweet
exa-labs
Search tweets and Twitter/X content using Exa advanced search. Limited filter support - text and domain filters are NOT supported. Use when searching for tweets, Twitter/X discussions, or social media sentiment.
apple-music
epheterson
Apple Music integration via AppleScript (macOS) or MusicKit API
memwal
MystenLabs
Walrus Memory SDK — portable agent memory that works across apps, sessions, and workflows. Use when users say: - "add memory to my app" - "portable agent memory" - "integrate Walrus Memory" - "AI agent memory" - "memory across agents" - "Walrus memory storage" - "setup Walrus Memory" - "recall memories"
customer-success
travisjneuman
Support workflows, ticketing systems (Zendesk, Intercom), knowledge base design, chatbot design, and metrics (CSAT, NPS). Use when building support infrastructure, designing help centers, or optimizing customer experience.
chroma-integration
a5c-ai
Chroma local vector database setup and operations for development and production
memory-fabric
yonatangross
"Knowledge graph orchestration layer with entity extraction, natural language query parsing, deduplication (>85% similarity), and cross-reference boosting. Unifies search results ranked by recency, relevance, and authority. Use when designing memory retrieval, building entity graphs, or optimizing knowledge graph queries."
qmd
tobi
Search markdown knowledge bases, notes, and documentation using QMD. Use when users ask to search notes, find documents, or look up information.
pagination
rshankras
Generates pagination infrastructure with offset or cursor-based patterns, infinite scroll, and search support. Use when user wants to add paginated lists, infinite scrolling, or load-more functionality.
hono
openstatusHQ
Efficiently develop Hono applications using Hono CLI. Supports documentation search, API reference lookup, request testing, and bundle optimization.
memory
yonatangross
"Read-side memory operations: search, recall, load, sync, history, visualize. Use when searching past decisions, loading session context, or viewing the knowledge graph."
bedrock
itsmostafa
AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.
protocol
SimHacker
"Protocol names ARE K-lines."