Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
-
aws-expert
Expert-level AWS cloud architecture, services, security, cost optimization, and best practices
majiayu000/claude-skill-registry 163
-
analysis-phase
Validates cross-artifact consistency and detects breaking changes during feature analysis. Use when running /analyze command, validating spec-plan alignment, checking task-implementation consistency, or identifying API/database/UI breaking changes before deployment. (project)
majiayu000/claude-skill-registry 163
-
Pytest Testing Patterns
Apply pytest best practices and project testing conventions. Use when writing or modifying tests.
majiayu000/claude-skill-registry 163
-
quality-analysis
Use when checking code quality, finding violations, detecting complexity issues, or running QC checks. Provides scripts for linting, naming enforcement, dead code detection, and legacy code discovery.
majiayu000/claude-skill-registry 163
-
ln-628-concurrency-auditor
Concurrency audit worker (L3). Checks race conditions, missing async/await, resource contention, thread safety, deadlock potential. Returns findings with severity, location, effort, recommendations.
majiayu000/claude-skill-registry 163
-
loop-annotation
This skill annotates chromatin loops, including enhancer/promoter assignments, CTCF-peak overlap. It automatically constructs enhancer and promoter sets when missing and outputs standardized loop categories.
majiayu000/claude-skill-registry 163
-
commands-ja
ユーザーのスキル変更要求を精度最大化して実装
majiayu000/claude-skill-registry 163
-
lean4-theorem-proving
Use when working with Lean 4 (.lean files), writing mathematical proofs, seeing "failed to synthesize instance" errors, managing sorry/axiom elimination, or searching mathlib for lemmas - provides build-first workflow, haveI/letI patterns, compiler-guided repair, and LSP integration
majiayu000/claude-skill-registry 163
-
hot-reload-optimizer
Optimizes hot module replacement and fast refresh for development speed with Vite, Next.js, and webpack configurations. Use when users request "hot reload", "HMR optimization", "fast refresh", "dev server speed", or "development performance".
majiayu000/claude-skill-registry 163
-
plan-todo
majiayu000/claude-skill-registry 163
-
standards-shell
This skill provides Shell/Bash coding standards and is automatically loaded for shell projects. It includes defensive scripting patterns, best practices, and recommended tooling.
majiayu000/claude-skill-registry 163
-
plugins
Use when creating custom Bknd plugins, extending functionality with hooks and events, or building reusable modules that add entities, endpoints, or middleware. Covers plugin architecture, lifecycle hooks, event system integration, and schema extension.
majiayu000/claude-skill-registry 163
-
speckit-implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md
majiayu000/claude-skill-registry 163
-
dsim-debugging
DSIM simulator debugging and troubleshooting. Use when investigating compilation errors, runtime failures, waveform analysis, or DSIM environment issues.
majiayu000/claude-skill-registry 163
-
instruments-profiling
Use when profiling native macOS or iOS apps with Instruments/xctrace. Covers correct binary selection, CLI arguments, exports, and common gotchas.
majiayu000/claude-skill-registry 163
-
standards-us-state-mapper
Map curriculum to any US state standards framework, support all 50 states' unique standards, crosswalk between state standards, and generate state-specific alignment reports. Use when aligning to state education standards. Activates on "state standards", "TEKS", "state curriculum", or "standards alignment".
majiayu000/claude-skill-registry 163
-
state-machine-driven-ui
Model complex UI flows using finite state machines to ensure deterministic behavior.
majiayu000/claude-skill-registry 163
-
fpga
FPGA development guidelines covering Vivado, SystemVerilog, timing closure, AXI interfaces, and hardware optimization.
majiayu000/claude-skill-registry 163
-
env-validation
Validate environment variables on server start and before builds. Catch missing or invalid variables early with clear error messages.
majiayu000/claude-skill-registry 163
-
llm-app-patterns
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.
majiayu000/claude-skill-registry 163
-
form-security
Security patterns for web forms including autocomplete attributes for password managers, CSRF protection, XSS prevention, and input sanitization. Use when implementing authentication forms, payment forms, or any form handling sensitive data.
majiayu000/claude-skill-registry 163
-
fastmcp-server-setup
Create MCP (Model Context Protocol) servers using FastMCP Python SDK. Define tools that AI agents can call to perform task operations. Use when building MCP servers for Phase 3 AI chatbot integration.
majiayu000/claude-skill-registry 163
-
bio-atac-seq-atac-qc
Quality control metrics for ATAC-seq data including fragment size distribution, TSS enrichment, FRiP, and library complexity. Use when assessing ATAC-seq library quality before or after peak calling to identify problematic samples.
majiayu000/claude-skill-registry 163
-
dashboard-api-authentication
Proper authentication patterns for dashboard frontend API calls. Use when adding new API endpoints, creating components that fetch data, or debugging 401 Unauthorized errors. Covers JWT token handling, the apiRequest helper, and common pitfalls.
majiayu000/claude-skill-registry 163