Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
-
python-style-guide-compact
Compact Python style guide. Key conventions for clean, typed, documented code.
majiayu000/claude-skill-registry 163
-
csharp-developer
Use when building C# applications with .NET 8+, ASP.NET Core APIs, or Blazor web apps. Invoke for Entity Framework Core, minimal APIs, async patterns, CQRS with MediatR.
majiayu000/claude-skill-registry 163
-
codex-agent-collaboration
Delegate coding tasks to Codex AI for implementation, analysis, and alternative solutions. Use when you need a second AI perspective, want to explore different approaches, or need specialized Codex capabilities for complex coding tasks.
majiayu000/claude-skill-registry 163
-
data-exploration
Explore and analyze pilot data sets to uncover patterns, anomalies, and initial insights. Use when performing ad-hoc data investigations, validating data quality, or preparing exploratory visualizations for hypothesis generation.
majiayu000/claude-skill-registry 163
-
go-dev
Go 开发规范,包含命名约定、错误处理、并发编程、测试规范等
majiayu000/claude-skill-registry 163
-
flask-reviewer
WHEN: Flask project review, Blueprint structure, extensions, request handling
WHAT: Blueprint organization + Extension patterns + Request/response handling + Configuration + Testing
WHEN NOT: FastAPI → fastapi-reviewer, Django → django-reviewer, General Python → python-reviewer
majiayu000/claude-skill-registry 163
-
spreadsheet-formula-helper
Write and debug spreadsheet formulas (Excel/Google Sheets), pivot tables, and array formulas; translate between dialects; use when users need working formulas with examples and edge-case checks.
majiayu000/claude-skill-registry 163
-
neotex
Use when working in projects with .neotex/ directory to retrieve organizational knowledge, search for patterns/guidelines/decisions, store learnings, or manage reference assets like images and files.
majiayu000/claude-skill-registry 163
-
analyzing-specifications
Use when analyzing requirements or project specifications - guides shannon analyze command, explains 8D complexity output, caching behavior, context-aware mode with --project flag
majiayu000/claude-skill-registry 163
-
cognitive-style-assessment
Assess cognitive processing style and preference patterns.
majiayu000/claude-skill-registry 163
-
chameleon-adapt
Adapt UI to its environment with glassmorphism, seasonal themes, and nature components. The chameleon reads the light, blends with intention, and becomes one with the forest. Use when designing interfaces, theming pages, or making Grove feel alive.
majiayu000/claude-skill-registry 163
-
constructive-dissent
Structured disagreement protocols to strengthen proposals through systematic challenge and alternative generation.
majiayu000/claude-skill-registry 163
-
analysis-swarm
Multi-persona analytical framework for comprehensive code review and decision-making
majiayu000/claude-skill-registry 163
-
web-navigation
Navigation and routing patterns for React web applications. Use when implementing React Router, Next.js routing, deep links, or handling navigation state.
majiayu000/claude-skill-registry 163
-
early-stopping-callback
Early Stopping Callback - Auto-activating skill for ML Training.
Triggers on: early stopping callback, early stopping callback
Part of the ML Training skill category.
majiayu000/claude-skill-registry 163
-
agents-md
This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills and enforces minimal documentation style.
majiayu000/claude-skill-registry 163
-
digital-twin-modeling
When the user wants to build digital twins, simulate supply chain operations, or create virtual replicas for testing. Also use when the user mentions "digital twin," "simulation modeling," "discrete event simulation," "system simulation," "virtual supply chain," "what-if analysis," "scenario simulation," or "operational testing." For network optimization, see network-design. For forecasting, see demand-forecasting.
majiayu000/claude-skill-registry 163
-
sveltekit-svelte5-tailwind-skill
Comprehensive integration skill for building sites with SvelteKit 2, Svelte 5, and Tailwind CSS v4
majiayu000/claude-skill-registry 163
-
rust-xacml
策略引擎、权限决策、RBAC、策略模式、责任链
majiayu000/claude-skill-registry 163
-
ai-friendly-architecture
Design AI-friendly architecture with explicit patterns, layered documentation, and semantic boundaries.
Use when: structuring projects for AI collaboration, optimizing codebase for AI analysis, setting up AI context.
Keywords: architecture, AI-friendly, context, modules, documentation layers, .ai-context.yaml, 架構, AI 友善, 上下文.
majiayu000/claude-skill-registry 163
-
langsmith-observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
majiayu000/claude-skill-registry 163
-
Contract Analyzer
Review contracts to identify key terms, risks, obligations, and negotiation opportunities
majiayu000/claude-skill-registry 163
-
programming-architecture
Game code architecture, design patterns, scalable systems, and maintainable
code structure for complex games.
majiayu000/claude-skill-registry 163
-
design-system-patterns
Build scalable design systems with design tokens, theming infrastructure, and component architecture patterns. Use when creating design tokens, implementing theme switching, building component libraries, or establishing design system foundations.
majiayu000/claude-skill-registry 163