Embeddings
Vector embeddings and similarity
web-search-plus
by robbyczgw-cla
Unified search skill with Intelligent Auto-Routing. Uses multi-signal analysis to automatically select between Serper (Google), Tavily (Research), Exa (Neural), Perplexity (AI Answers), You.com (RAG/Real-time), and SearXNG (Privacy/Self-hosted) with confidence scoring.
glean-tools-guide
by gleanwork
Use when Glean MCP tools are available and you need guidance on which tool to use, how to format queries, or best practices for enterprise search. This skill provides tool selection logic and query optimization for Glean integrations. Auto-triggers when mcp__glean tools are being considered.
enterprise-search
by gleanwork
Use when the user asks about company documents, internal wikis, policies, specifications, design docs, RFCs, or enterprise knowledge. Triggers on phrases like "find the doc about", "what's our policy on", "where is the spec for", "company guidelines", "internal documentation", or when searching for information that would be in enterprise systems rather than the local codebase.
advanced_tools
by tao3k
Use when finding files by name, searching code content, locating patterns with regex, exploring codebase, or batch refactoring across multiple files. Conforms to docs/reference/skill-routing-value-standard.md.
memory
by tao3k
"Use for short-term operational memory: track transient issues/workarounds, recall recent execution context, and support cleanup of stale entries."
pinecone-mcp
by pinecone-io
Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.
pinecone-docs
by pinecone-io
Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.
pinecone-query
by pinecone-io
Query integrated indexes using text with Pinecone MCP. IMPORTANT - This skill ONLY works with integrated indexes (indexes with built-in Pinecone embedding models like multilingual-e5-large). For standard indexes or advanced vector operations, use the CLI skill instead. Requires PINECONE_API_KEY environment variable and Pinecone MCP server to be configured.
code_tools
by tao3k
Use when searching code by structure or meaning, analyzing code patterns, finding class or function definitions, or exploring codebase architecture.
Embedding Skill
by tao3k
Supports both batch and single text embedding
pinecone-quickstart
by pinecone-io
Interactive Pinecone quickstart for new developers. Choose between two paths - Database (create an integrated index, upsert data, and query using Pinecone MCP + Python) or Assistant (create a Pinecone Assistant for document Q&A). Use when a user wants to get started with Pinecone for the first time or wants a guided tour of Pinecone's tools.
rulebook_skill_search
by hivellm
CLI tool to standardize AI-generated projects with templates, rules enforcement, and automation
pinecone-help
by pinecone-io
Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
pinecone-assistant
by pinecone-io
Create, manage, and chat with Pinecone Assistants for document Q&A with citations. Handles all assistant operations - create, upload, sync, chat, context retrieval, and list. Recognizes natural language like "create an assistant from my docs", "ask my assistant about X", or "upload my docs to Pinecone".
pinecone-cli
by pinecone-io
Guide for using the Pinecone CLI (pc) to manage Pinecone resources from the terminal. The CLI supports ALL index types (standard, integrated, sparse) and all vector operations — unlike the MCP which only supports integrated indexes. Use for batch operations, vector management, backups, namespaces, CI/CD automation, and full control over Pinecone resources.
x-tweet-search
by b-open-io
Search recent X/Twitter posts by query. Returns RAW TWEETS (last 7 days). Use when user asks "search X for", "find tweets about", "what are people saying about", "Twitter search", "raw tweets about". For AI summaries/sentiment, use x-research instead. Requires X_BEARER_TOKEN.
limitless
by TechNickAI
"Use when recalling conversations from Limitless Pendant, finding what was discussed in meetings, searching lifelogs, or answering 'what did I say about' questions"
research
by TechNickAI
"Use when current web info needed, verifying APIs still work, checking latest versions, or avoiding outdated implementations"
elasticsearch-expert
by personamanagmentlayer
Expert-level Elasticsearch, search, ELK stack, and full-text search
requirements-engineering
by jasonkneen
Transform vague feature ideas into clear, testable requirements using EARS format. Capture user stories, define acceptance criteria, identify edge cases, and validate completeness before moving to design.
codealive-context-engine
by CodeAlive-AI
Semantic code search and AI-powered codebase Q&A across indexed repositories. Use when understanding code beyond local files, exploring dependencies, discovering cross-project patterns, planning features, debugging, or onboarding. Queries like "How does X work?", "Show me Y patterns", "How is library Z used?". Provides search (fast, returns file locations) and chat-with-codebase (slower, costs more, but returns synthesized answers).
azure-ai-search-python
by hainamchung
Clean code patterns for Azure AI Search Python SDK (azure-search-documents). Use when building search applications, creating/managing indexes, implementing agentic retrieval with knowledge bases, or working with vector/hybrid search. Covers SearchClient, SearchIndexClient, SearchIndexerClient, and KnowledgeBaseRetrievalClient.
semantic-versioning
by BagelHole
Automate versioning and changelog generation using semantic versioning principles. Configure release automation, version bumping, and changelog tools. Use when implementing version management or automating release processes.
sentry
by goncalossilva
"Fetch and analyze Sentry issues, events, transactions, and logs. Helps agents debug errors, find root causes, and understand what happened at specific times."