Embeddings
Vector embeddings and similarity
hhl
by unitarylab
A quantum algorithm for solving linear systems of equations, providing exponential speedup over classical methods for certain types of problems. This skill includes efficient implementations and educational resources for understanding and utilizing quantum linear systems algorithms in various applications.
github
by joelazar
"Interact with GitHub using the gh CLI. Use gh issue, gh pr, gh run, gh search, and gh api for issues, PRs, CI runs, search, and advanced queries."
native-web-search
by joelazar
"Trigger native web search. Use when you need quick internet research with concise summaries and full source URLs."
mpm-circuit-breaker-enforcement
by bobmatnyc
Complete circuit breaker enforcement patterns with examples and remediation
MPM Tool Usage Guide
by bobmatnyc
Claiming deployment works without web-qa evidence = Circuit Breaker #3 violation (Unverified Assertions)
code-review
by llama-farm
Comprehensive code review for diffs. Analyzes changed code for security vulnerabilities, anti-patterns, and quality issues. Auto-detects domain (frontend/backend) from file paths.
rag-skills
by llama-farm
RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers. Covers ingestion, retrieval, embeddings, and performance.
better-icons
by better-auth
'Use when working with icons in any project. Provides CLI for searching 200+ icon libraries (Iconify) and retrieving SVGs. Commands: better-icons search <query> to find icons, better-icons get <id> to get SVG. Also available as MCP server for AI agents.'
harmony-batch-correction
by jaechang-hits
"Batch correction for single-cell RNA-seq (and other omics) with Harmony. Removes technical batch effects from PCA embeddings while preserving biological variation. Use after PCA, before UMAP/neighbors. Fast and scalable to millions of cells. Python (harmonypy, scanpy integration) and R (Seurat) APIs."
b2c-querying-data
by SalesforceCommerceCloud
Best practices for querying products, orders, customers, and system objects in B2C Commerce. Use when writing product searches, order queries, customer/profile lookups, replacing database-intensive APIs, improving search performance, or diagnosing slow category/search pages. Covers ProductSearchModel, OrderMgr, CustomerMgr, SystemObjectMgr, index-friendly vs database-intensive APIs, and query performance pitfalls. For order lifecycle and status management, use b2c-ordering instead. For custom object CRUD, use b2c-custom-objects instead.
b2c-docs
by SalesforceCommerceCloud
Search and read B2C Commerce (SFCC/Demandware) Script API documentation and XSD schemas with the b2c cli. Always reference when using the CLI to search or read Script API documentation, look up dw.* classes, or browse XSD schemas. Also use when writing B2C scripts, answering "how do I" questions about URLs/products/orders, or verifying class methods and properties.
literature
by flonat
"Academic literature discovery, synthesis, and bibliography management. Find papers, verify citations, create .bib files, download PDFs, and synthesize literature narratives. Includes OpenAlex, Scopus, and Web of Science API integration for structured scholarly queries."
search-code
by JamieMason
Search for code patterns in Syncpack. Use when finding symbols, implementations, or understanding how code is used. Covers ast-grep for Rust and grep/rg for other cases.
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.
Exploration Tools
by takeokunn
Tool definitions and usage patterns for codebase exploration (Glob, Grep, Read, LSP). Agents reference this skill instead of inline tool definitions.
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: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: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.
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.
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: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: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.
embedding-fusion-strategy
by lyndonkl
Use when designing embedding strategies that fuse semantic and structural information for knowledge graphs. Invoke when user mentions node embeddings, structural embeddings, semantic embeddings, contrastive alignment, embedding fusion, vector representations for graphs, or combining text and graph signals. Provides embedding selection, fusion design, and implementation guidance.
agent-architecture-analysis
by existential-birds
Perform 12-Factor Agents compliance analysis on any codebase. Use when evaluating agent architecture, reviewing LLM-powered systems, or auditing agentic applications against the 12-Factor methodology.