Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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ta-vfx-postfx
Post-processing effects with React Three Fiber. Use when adding bloom, depth of field, effect composer, visual polish.
majiayu000/claude-skill-registry 163
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geo-database
Access NCBI GEO for gene expression/genomics data. Search/download microarray and RNA-seq datasets (GSE, GSM, GPL), retrieve SOFT/Matrix files, for transcriptomics and expression analysis.
majiayu000/claude-skill-registry 163
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moai-platform-firebase-auth
Firebase Authentication specialist covering Google ecosystem, social auth, phone auth, and mobile-first patterns. Use when building Firebase-backed or Google ecosystem apps, implementing social login, or adding phone verification.
majiayu000/claude-skill-registry 163
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clickup-integration-agent
Specialized agent for ClickUp integration using the @taazkareem/clickup-mcp-server. Handles task management, time tracking, and workspace operations through 36 MCP tools.
majiayu000/claude-skill-registry 163
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transcript-intelligence
Search and analyze Claude Code transcripts for past decisions, solutions, and discussions. Use when recalling past context, finding solutions to previously-solved problems, understanding session history, or restoring context after compact/clear.
majiayu000/claude-skill-registry 163
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skill-developer
Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation, or implementing progressive disclosure. Covers skill structure, YAML frontmatter, trigger types (keywords, intent patterns, file paths, content patterns), enforcement levels (block, suggest, warn), hook mechanisms (UserPromptSubmit, PreToolUse), session tracking, and the 500-line rule.
majiayu000/claude-skill-registry 163
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sherpa-onnx-tts
Local text-to-speech via sherpa-onnx (offline, no cloud)
majiayu000/claude-skill-registry 163
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mermaid
Render Mermaid diagrams as SVG or ASCII art using beautiful-mermaid. Use when users need to create flowcharts, sequence diagrams, state diagrams, class diagrams, or ER diagrams. Supports both graphical SVG output and terminal-friendly ASCII/Unicode output.
majiayu000/claude-skill-registry 163
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caching-strategy-helper
Recommend caching strategies and invalidation patterns. Use when a mid-level developer needs performance guidance.
majiayu000/claude-skill-registry 163
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Predictive Skill Loading
Anticipates and pre-loads optimal skills before task execution based on pattern matching and historical success rates
majiayu000/claude-skill-registry 163
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installing-skill-tracker
Installs Claude Code hooks for automatic skill usage measurement.
Use when setting up skill tracking infrastructure in a new project.
NOT when hooks are already installed (run verify.py to check).
majiayu000/claude-skill-registry 163
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database-migration
Database schema change and Alembic migration expertise. Use when modifying database models, creating migrations, handling rollbacks, or troubleshooting migration issues. Ensures data integrity and safe schema evolution.
majiayu000/claude-skill-registry 163
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ReasoningBank with AgentDB
Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when building self-learning agents, optimizing decision-making, or implementing experience replay systems.
majiayu000/claude-skill-registry 163
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duckdb-timetravel
Layer 3: Temporal Versioning and ACSet Schema Generation for DuckDB
majiayu000/claude-skill-registry 163
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episode
majiayu000/claude-skill-registry 163
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politique-lanceur-alerte-malik-taiar
Guide pour (a) évaluer la conformité d'un dispositif lanceur d'alerte existant ou (b) rédiger une politique de signalement conforme sur la base d'un template fourni. Couvre la Directive UE 2019/1937, la loi Sapin II modifiée (Waserman 2022), le décret 2022-1284, le référentiel CNIL, les spécificités fonction publique et le devoir de vigilance.
majiayu000/claude-skill-registry 163
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define-seo-strategy
Create a comprehensive SEO_STRATEGY.md covering both traditional SEO and Generative Engine Optimization (GEO) for AI platforms. Requires CUSTOMER.md to exist first. Includes platform-specific tactics for Google AI Overviews, ChatGPT, Perplexity, Claude, and Gemini with effort/impact prioritization.
majiayu000/claude-skill-registry 163
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project-wizard
Create new GitHub Copilot-enabled projects from the base template with full security configuration, GitHub integration, and Archon project setup. Use when creating new projects, initializing repositories, or setting up new workspaces. Triggers on new project, create project, setup project, project wizard, project template.
majiayu000/claude-skill-registry 163
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arboreto
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
majiayu000/claude-skill-registry 163
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tmnl-submodule-exploration
Navigate Effect, effect-atom, and website submodules to find canonical sources, test examples, and human-authored documentation
majiayu000/claude-skill-registry 163
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qutip
Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python). Use when working with quantum systems including: (1) quantum states (kets, bras, density matrices), (2) quantum operators and gates, (3) time evolution and dynamics (Schrödinger, master equations, Monte Carlo), (4) open quantum systems with dissipation, (5) quantum measurements and entanglement, (6) visualization (Bloch sphere, Wigner functions), (7) steady states and correlation functions, or (8) advanced methods (Floquet theory, HEOM, stochastic solvers). Handles both closed and open quantum systems across various domains including quantum optics, quantum computing, and condensed matter physics.
majiayu000/claude-skill-registry 163
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exo-distributed
Distributed LLM inference across Apple Silicon clusters with exo. Run models across Mac Studios via Thunderbolt RDMA, auto peer discovery, and MLX sharding. Use for multi-device inference, model parallelism, or building LLM clusters.
majiayu000/claude-skill-registry 163
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django-simplifier
Simplify overly complex Django code and detect Django-specific anti-patterns. Use when user asks to simplify, refactor, or improve Django code, find N+1 queries, detect Django anti-patterns, optimize QuerySets, or analyze Django project architecture. Triggers on requests involving Django models, views, QuerySets, ORM optimization, serializers, forms, signals, middleware, or Django best practices. For general Python analysis, use the python-simplifier skill instead.
majiayu000/claude-skill-registry 163
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claude-agent-sdk
Build custom AI agents using Anthropic Claude API and agent SDK patterns. Create tool-using agents, multi-turn conversations, agent loops, streaming responses, and production-ready agent architectures. Use when building Claude-powered applications, implementing agentic AI features, or developing autonomous task completion systems.
majiayu000/claude-skill-registry 163