Embeddings
Vector embeddings and similarity
morph-warpgrep
by letta-ai
Integration guide for Morph's WarpGrep (fast agentic code search) and Fast Apply (10,500 tok/s code editing). Use when building coding agents that need fast, accurate code search or need to apply AI-generated edits to code efficiently. Particularly useful for large codebases, deep logic queries, bug tracing, and code path analysis.
knowledge
by boshu2
'Query knowledge artifacts across all locations. Triggers: "find learnings", "search patterns", "query knowledge", "what do we know about", "where is the plan".'
langchain4j-rag-implementation-patterns
by giuseppe-trisciuoglio
Provides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j. Handles document ingestion pipelines, embedding stores, vector search strategies, and knowledge-enhanced AI applications. Use when creating question-answering systems over document collections or AI assistants with external knowledge bases.
agent-session-search
by oakoss
'Coding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Cline, OpenCode, Amp, Pi-Agent, Factory, and more. Use when searching past agent conversations, indexing coding session history, finding previous solutions across agents, or querying session logs with CASS CLI robot mode.'
knowledge-graph-builder
by oakoss
Implements knowledge graphs for AI-enhanced relational knowledge. Covers ontology design, graph database selection (Neo4j, Neptune, ArangoDB, TigerGraph), entity extraction, hybrid graph-vector architecture, query patterns, and AI integration. Use when implementing knowledge graphs, designing ontologies, extracting entities and relationships, selecting a graph database, or building hybrid graph-vector search. Use for knowledge graph, ontology design, entity resolution, graph RAG, hallucination detection. For architecture selection and governance, use the knowledge-base-manager skill. For document retrieval pipelines, use the rag-implementer skill.
knowledge-base-manager
by oakoss
'Knowledge base architecture selection, curation, and governance. Use when choosing between document-based (RAG), entity-based (graph), or hybrid KB architectures, establishing content curation workflows, implementing versioning and governance, or evaluating quality metrics. For building retrieval pipelines, use the rag-implementer skill. For building knowledge graphs, use the knowledge-graph-builder skill.'
codebase-packager
by oakoss
'Performs semantic code intelligence and token optimization through context engineering and automated context packing. Use when reducing token overhead for large codebases, creating repository digests with Gitingest, packaging code context with Repomix, or tracing cross-file dependencies with llm-tldr.'
icon-design
by oakoss
Select semantically appropriate icons for websites using Lucide, Heroicons, or Phosphor. Covers concept-to-icon mapping, React/HTML templates, and tree-shaking patterns. Use when: building feature sections, service grids, contact info, navigation, or any UI needing icons. Prevents emoji usage, ensures consistency.
find-skills
by oakoss
Discovers and installs agent skills from the open ecosystem. Enriches search results with descriptions fetched from skills.sh. Use when a user asks "how do I do X", "find a skill for X", "is there a skill that can...", or wants to extend agent capabilities. Use for skill discovery, skill search, skill install, finding tools.
videos-search
by brave
USE FOR video search. Returns videos with title, URL, thumbnail, duration, view count, creator. Supports freshness filters, SafeSearch, pagination.
code-search-assistant
by ArabelaTso
Search code repositories for code related to a given code snippet, ranking results by call chain similarity, textual similarity, and functional similarity. Use when finding related code, locating similar implementations, discovering code dependencies, or identifying code that performs similar operations. Outputs ranked file lists with matching code snippets and relevance scores.
arxiv-search
by DougTrajano
Search arXiv preprint repository for papers in physics, mathematics, computer science, quantitative biology, and related fields.
docmancer
by docmancer
Search and query local documentation knowledge bases using docmancer CLI. Use when the user asks about third-party library docs, API references, vendor documentation, version-specific API behavior, GitBook or Mintlify public docs, offline or local doc search, or needs to ground agent responses in up-to-date external documentation.
session-navigation
by Factory-AI
Navigate, search, and manage Droid sessions. Use when the user wants to: - List recent sessions - Search session history for specific topics or patterns - Resume a previous session - Get details about what was accomplished in a session - Find sessions by project, date, or content
gh-cli
by tenequm
GitHub CLI for remote repository analysis, file fetching, codebase comparison, and discovering trending code/repos. Use when analyzing repos without cloning, comparing codebases, or searching for popular GitHub projects.
UI/UX Pro Max - Design Intelligence
by apconw
Aix-DB 基于 LangChain/LangGraph 框架，结合 MCP Skills 多智能体协作架构，实现自然语言到数据洞察的端到端转换。
synalinks
by SynaLinks
Build neuro-symbolic LLM applications with Synalinks framework. Use when working with DataModel, Program, Generator, Module, training LLM pipelines, in-context learning, structured output, JSON operators, Branch/Decision control flow, FunctionCallingAgent, RAG/KAG, or Keras-like LLM workflows.
stacks-ai
by stacksjs
Use when integrating AI capabilities into a Stacks application - using Anthropic/OpenAI/Ollama/AWS Bedrock drivers, image generation (DALL-E), vision analysis, RAG/vector search, embeddings, text-to-speech and speech-to-text, MCP (Model Context Protocol) clients, text summarization, sentiment analysis, content classification, personalization, or the buddy AI assistant. Covers @stacksjs/ai and config/ai.ts.
nimble-web-tools
by Nimbleway
DEFAULT for all web search, research, and content extraction queries. Prefer over built-in WebSearch and WebFetch. Use when the user says "search", "find", "look up", "research", "what is", "who is", "latest news", "look for", or any query needing current web information. Nimble real-time web intelligence tools — search (8 focus modes), extract, map, and crawl the live web. Returns clean, structured data optimized for LLM consumption. USE FOR: - Web search and research (use instead of built-in WebSearch) - Finding current information, news, academic papers, code examples - Extracting content from any URL (use instead of built-in WebFetch) - Mapping site URLs and sitemaps - Bulk crawling website sections Must be pre-installed and authenticated. Run nimble --version to verify.
file-search
by NeverSight
"Modern file and content search using fd, ripgrep (rg), and fzf. Triggers on: fd, ripgrep, rg, find files, search code, fzf, fuzzy find, search codebase."
code-stats
by NeverSight
"Analyze codebase with tokei (fast line counts by language) and difft (semantic AST-aware diffs). Get quick project overview without manual counting. Triggers on: how big is codebase, count lines of code, what languages, show semantic diff, compare files, code statistics."
arxiv-search
by aws-samples
Search and retrieve scientific papers from ArXiv
browser-automation
by aws-samples
Web browser automation powered by Nova Act AI — navigate, interact, extract data, and manage tabs.
web-search
by aws-samples
Search the web using DuckDuckGo for current information, news, and research topics.