Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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github-multi-repo
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
majiayu000/claude-skill-registry 163
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claude-restart
Restart Claude Code session to reload new skills, manage context, or start fresh. Use this skill when skills have been added/modified, when needing to compact/clear context, or to reload configuration changes.
majiayu000/claude-skill-registry 163
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bmad-quick-dev
Implement a Quick Tech Spec for small changes or features. Use when the user provides a quick tech spec and says "implement this quick spec" or "proceed with implementation of [quick tech spec]"
majiayu000/claude-skill-registry 163
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agent-memory
Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.
majiayu000/claude-skill-registry 163
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ac-issue
Reports issues to agentic-config repository via GitHub CLI. Supports bug reports and feature requests. Triggers on keywords: issue, report bug, feature request, ac issue
majiayu000/claude-skill-registry 163
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test
Run unit and UI tests for GridRacer
majiayu000/claude-skill-registry 163
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postmark-automation
Automate Postmark email delivery tasks via Rube MCP (Composio): send templated emails, manage templates, monitor delivery stats and bounces. Always search tools first for current schemas.
majiayu000/claude-skill-registry 163
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qcsd-cicd-swarm
QCSD Verification phase swarm for CI/CD pipeline quality gates using regression analysis, flaky test detection, quality gate enforcement, and deployment readiness assessment. Consumes Development outputs (SHIP/CONDITIONAL/HOLD decisions, quality metrics) and produces signals for Production monitoring.
majiayu000/claude-skill-registry 163
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mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
majiayu000/claude-skill-registry 163
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ai-multimodal
Process and generate multimedia content using Google Gemini API. Capabilities include analyze audio files (transcription with timestamps, summarization, speech understanding, music/sound analysis up to 9.5 hours), understand images (captioning, object detection, OCR, visual Q&A, segmentation), process videos (scene detection, Q&A, temporal analysis, YouTube URLs, up to 6 hours), extract from documents (PDF tables, forms, charts, diagrams, multi-page), generate images (text-to-image, editing, composition, refinement). Use when working with audio/video files, analyzing images or screenshots, processing PDF documents, extracting structured data from media, creating images from text prompts, or implementing multimodal AI features. Supports multiple models (Gemini 2.5/2.0) with context windows up to 2M tokens.
majiayu000/claude-skill-registry 163
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rfp-evaluate
Evaluate RFP opportunities using the 6-dimension scoring framework. Use when modifying evaluation criteria, adjusting keyword weights, or implementing AI-based evaluation.
majiayu000/claude-skill-registry 163
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web3-testing
Test smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking. Use when testing Solidity contracts, setting up blockchain test suites, or validating DeFi protocols.
majiayu000/claude-skill-registry 163
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context-engineering
Master context engineering for AI agent systems. Use when designing agent architectures, debugging context failures, optimizing token usage, implementing memory systems, building multi-agent coordination, evaluating agent performance, or developing LLM-powered pipelines. Covers context fundamentals, degradation patterns, optimization techniques (compaction, masking, caching), compression strategies, memory architectures, multi-agent patterns, LLM-as-Judge evaluation, tool design, and project development.
majiayu000/claude-skill-registry 163
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geo-fundamentals
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
majiayu000/claude-skill-registry 163
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instagram_content
Instagram caption structure, visual content briefs, hashtag strategy, and Reels/carousel optimization
majiayu000/claude-skill-registry 163
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sentence-transformers
Framework for state-of-the-art sentence, text, and image embeddings. Provides 5000+ pre-trained models for semantic similarity, clustering, and retrieval. Supports multilingual, domain-specific, and multimodal models. Use for generating embeddings for RAG, semantic search, or similarity tasks. Best for production embedding generation.
majiayu000/claude-skill-registry 163
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bv
Beads Viewer - Graph-aware triage engine for Beads projects. Computes PageRank, betweenness, critical path, and cycles. Use --robot-* flags for AI agents.
majiayu000/claude-skill-registry 163
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emil-design-eng
This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.
majiayu000/claude-skill-registry 163
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hl7v2-to-fhir-pipeline
Comprehensive pipeline for creating a new message converter or add/edit a field mapping for an existing converter.
majiayu000/claude-skill-registry 163
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note
Use when a debugging session, research, or investigation yields non-obvious findings worth preserving for future sessions.
majiayu000/claude-skill-registry 163
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data-fetch-analysis
Connect to databases, monitoring systems, analytics platforms, and APIs to fetch, analyze, and report on data. Use when the user says 'query the database', 'check the metrics', 'fetch data from', 'analyze this data', 'pull logs', 'generate a report', 'check error rates', 'what does the data show', 'dashboard data', or 'investigate this trend'. Also triggers on 'data analysis', 'database query', 'monitoring data', 'log analysis', 'metrics investigation', 'data pipeline', 'data fetching', 'SQL query', or 'run a query'.
majiayu000/claude-skill-registry 163
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performance-testing
Benchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.
majiayu000/claude-skill-registry 163
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riverpod-from-provider
Migrate from package:provider to Riverpod; ChangeNotifierProvider, ProxyProvider to ref.watch, context.watch to ref.watch, ConsumerWidget, incremental migration, family and autoDispose. Use when the user is migrating from Provider to Riverpod, or asks about Provider vs Riverpod, or how to replace ProxyProvider/ChangeNotifierProvider.
majiayu000/claude-skill-registry 163
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fastapi-rest-api-skill
A skill for building RESTful APIs with FastAPI. Use this skill to create a new FastAPI project with a standard project structure, including routers, models, schemas, and services. This skill provides a boilerplate project, CRUD endpoint templates, Pydantic validation examples, and guidance on dependency injection, background tasks, file uploads, and pagination. It leverages async/await for efficient I/O operations. Trigger this skill when a user wants to build a RESTful API using FastAPI, needs a starter project, or wants to learn best practices for FastAPI development.
majiayu000/claude-skill-registry 163