By skywalk1130
Complete collection of battle-tested Claude Code configs from an Anthropic hackathon winner - agents, skills, hooks, and rules evolved over 10+ months of intensive daily use
Incrementally fix build and type errors with minimal, safe changes.
Create or verify a checkpoint in your workflow.
Start the NanoClaw agent REPL — a persistent, session-aware AI assistant powered by the claude CLI.
Comprehensive security and quality review of uncommitted changes:
Generate and run end-to-end tests with Playwright. Creates test journeys, runs tests, captures screenshots/videos/traces, and uploads artifacts.
Software architecture specialist for system design, scalability, and technical decision-making. Use PROACTIVELY when planning new features, refactoring large systems, or making architectural decisions.
Expert planning specialist for complex features and refactoring. Use PROACTIVELY when users request feature implementation, architectural changes, or complex refactoring. Automatically activated for planning tasks.
Build and TypeScript error resolution specialist. Use PROACTIVELY when build fails or type errors occur. Fixes build/type errors only with minimal diffs, no architectural edits. Focuses on getting the build green quickly.
Personal communication chief of staff that triages email, Slack, LINE, and Messenger. Classifies messages into 4 tiers (skip/info_only/meeting_info/action_required), generates draft replies, and enforces post-send follow-through via hooks. Use when managing multi-channel communication workflows.
Expert code review specialist. Proactively reviews code for quality, security, and maintainability. Use immediately after writing or modifying code. MUST BE USED for all code changes.
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.
PostgreSQL database patterns for query optimization, schema design, indexing, and security. Based on Supabase best practices.
Example project-specific skill template based on a real production application.
Pythonic idioms, PEP 8 standards, type hints, and best practices for building robust, efficient, and maintainable Python applications.
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
No model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
Language: English | 繁體中文
50K+ stars | 6K+ forks | 30 contributors | 6 languages supported | Anthropic Hackathon Winner
The complete collection of Claude Code configs from an Anthropic hackathon winner.
Production-ready agents, skills, hooks, commands, rules, and MCP configurations evolved over 10+ months of intensive daily use building real products.
This repo is the raw code only. The guides explain everything.
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| Shorthand Guide Setup, foundations, philosophy. Read this first. | Longform Guide Token optimization, memory persistence, evals, parallelization. |
| Topic | What You'll Learn |
|---|---|
| Token Optimization | Model selection, system prompt slimming, background processes |
| Memory Persistence | Hooks that save/load context across sessions automatically |
| Continuous Learning | Auto-extract patterns from sessions into reusable skills |
| Verification Loops | Checkpoint vs continuous evals, grader types, pass@k metrics |
| Parallelization | Git worktrees, cascade method, when to scale instances |
| Subagent Orchestration | The context problem, iterative retrieval pattern |
AGENTS.md-based Codex support, installer targeting, and Codex docsfrontend-slides skill — Zero-dependency HTML presentation builder with PPTX conversion guidance and strict viewport-fit rulesarticle-writing, content-engine, market-research, investor-materials, investor-outreach/codex-setup command generates codex.md for OpenAI Codex CLI compatibilitysearch-first, swift-actor-persistence, swift-protocol-di-testing, regex-vs-llm-structured-text, content-hash-cache-pattern, cost-aware-llm-pipeline, skill-stocktake/security-scan skill runs AgentShield directly from Claude Code; 1282 tests, 102 rulesnpx claudepluginhub skywalk1130/everything-claude-codeThe most comprehensive Claude Code plugin — 38 agents, 156 skills, 72 legacy command shims, selective install profiles, and production-ready hooks for TDD, security scanning, code review, and continuous learning
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Supergraph enforces a complete, evidence-based coding pipeline — scan → plan → TDD → fix → verify → review — grounded in real codebase analysis at every step. It combines AST dependency graphs, LSP-level code intelligence, and a structured skill chain so Claude never guesses about impact before making a change.
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
Tools to maintain and improve CLAUDE.md files - audit quality, capture session learnings, and keep project memory current.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review