Claude-Code-Promts
skill
Warn
Health Pass
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 30 GitHub stars
Code Warn
- Code scan incomplete — No supported source files were scanned during light audit
Permissions Pass
- Permissions — No dangerous permissions requested
Purpose
This project is a curated collection of high-quality system prompt templates and workflows designed specifically for Claude AI. It provides structured instructions covering coding, debugging, security audits, and general problem-solving to enhance AI agent capabilities.
Security Assessment
Overall risk: Low. This tool is a repository of Markdown files and prompt templates rather than executable code or a functional MCP server. It does not request dangerous permissions, execute shell commands, or make external network requests. There is no application code to analyze, which explains the incomplete code scan, but the absence of executable files means there is virtually no risk of hardcoded secrets or malicious background activity.
Quality Assessment
The project is of high quality and actively maintained, with recent updates pushed within the last day. It benefits from a permissive MIT license, allowing for free use and modification. With 30 GitHub stars, it demonstrates a growing level of community trust. The documentation is excellent, providing a well-organized catalog of templates that categorize prompts clearly by use case and token size.
Verdict
Safe to use: an excellent, transparent resource for developers looking to enhance their AI coding workflows.
This project is a curated collection of high-quality system prompt templates and workflows designed specifically for Claude AI. It provides structured instructions covering coding, debugging, security audits, and general problem-solving to enhance AI agent capabilities.
Security Assessment
Overall risk: Low. This tool is a repository of Markdown files and prompt templates rather than executable code or a functional MCP server. It does not request dangerous permissions, execute shell commands, or make external network requests. There is no application code to analyze, which explains the incomplete code scan, but the absence of executable files means there is virtually no risk of hardcoded secrets or malicious background activity.
Quality Assessment
The project is of high quality and actively maintained, with recent updates pushed within the last day. It benefits from a permissive MIT license, allowing for free use and modification. With 30 GitHub stars, it demonstrates a growing level of community trust. The documentation is excellent, providing a well-organized catalog of templates that categorize prompts clearly by use case and token size.
Verdict
Safe to use: an excellent, transparent resource for developers looking to enhance their AI coding workflows.
A curated collection of high-quality prompt templates designed for Claude, focused on coding, problem-solving, productivity, and advanced reasoning workflows.
README.md
Claude Code Prompts
Production-ready system prompts for Claude AI and coding agents. Built on the APEI cycle: Analyze → Plan → Execute → Iterate.
Prompt Catalog
🤖 Agent Prompts (Autonomous AI Agents)
| Prompt | Purpose | Tokens | File |
|---|---|---|---|
| Agent System ⭐ | Core operating system | ~1.5K | View |
| Error Analysis | Debugging & root cause | ~2K | View |
| Project Workflow | Full lifecycle management | ~2.5K | View |
| Quick Reference | Cheat sheet (minimal) | ~0.8K | View |
| Code Review | Systematic PR review | ~2K | View |
| Security Audit | Vulnerability detection + cloud security | ~3.5K | View |
| Refactoring | Code improvement | ~2.5K | View |
| Testing | Test design, TDD, chaos & contract testing | ~4K | View |
| Documentation | Technical writing | ~2.5K | View |
| Performance | Optimization, profiling, CDN & edge | ~3.5K | View |
| Git & VCS | Branching & commits | ~2.5K | View |
| Integration Guardian | System integrity | ~3.5K | View |
| Accessibility Audit | WCAG 2.2 compliance | ~3K | View |
| Migration & Upgrade | Framework & DB migrations | ~2.5K | View |
| Monitoring & Observability | Logs, metrics, traces | ~3K | View |
| Debugging & Troubleshooting | Production debugging & incident response | ~3.5K | View |
🎯 Claude Code-Specific Prompts
| Prompt | Purpose | Tokens | File |
|---|---|---|---|
| Mode Transitions ⭐ | /think, /ultrathink, /compact modes & planning | ~2.5K | View |
| Token Optimization | Token saving strategies for Claude Code | ~2.5K | View |
| Workflow & Config | CLAUDE.md, hooks, permissions, MCP | ~3K | View |
🏗️ Architecture & Full-Stack Prompts
| Prompt | Purpose | Tokens | File |
|---|---|---|---|
| Technology Stack ⭐ | Library discovery, modern tools, hidden gems | ~4K | View |
| Architecture Patterns | System design, event sourcing, saga, serverless | ~4.5K | View |
| Full-Stack Development | Next.js/Nuxt/SvelteKit, WebSocket, background jobs | ~4.5K | View |
| Prompt Chaining | Multi-step workflows, context management | ~3K | View |
| AI & LLM Integration | RAG, vector DBs, AI agents, safety | ~3.5K | View |
| API Design & GraphQL | Schema-first, DataLoader, caching, contracts | ~4K | View |
| Cloud & Infrastructure | IaC, multi-region, K8s, cost optimization | ~4K | View |
| Data Engineering | Pipelines, dbt, streaming, data quality | ~4K | View |
| Compliance & Governance | GDPR, HIPAA, SOC 2, threat modeling | ~3.5K | View |
| Multi-Agent Orchestration | Agent coordination, parallel execution, shared state | ~4K | View |
| Monorepo & Complex Projects | Multi-package architecture, cross-cutting concerns | ~4.5K | View |
| Error Handling & Resilience | Circuit breakers, retry patterns, graceful degradation | ~4K | View |
| Developer Experience & Tooling | ESLint, Prettier, Git hooks, DX metrics, onboarding | ~3.5K | View |
| Database Design & Optimization | Schema design, indexing, query tuning, migrations | ~4K | View |
| UI/UX & Design Systems | Design tokens, components, a11y, theming, Storybook | ~4.5K | View |
📋 Foundation & Project Prompts (Interactive Sessions)
| Prompt | Purpose | Technologies | File |
|---|---|---|---|
| Foundation ⭐ | Universal best practices | Any | View |
| Web Development | Frontend apps + SEO + a11y | React, Vue, Angular, CSS | View |
| API Development | Backend services + idempotency | REST, GraphQL, Node, Go | View |
| Data Science & ML | ML pipelines + MLOps | Python, pandas, PyTorch | View |
| Mobile | Mobile apps | iOS, Android, Flutter, RN | View |
| DevOps & CI/CD | Infrastructure | K8s, Docker, Terraform | View |
| Database & SQL | Data layer | PostgreSQL, MySQL, Redis | View |
| General Software | Cross-language | Python, JS, Go, Java, C# | View |
| Game Development | Game engines | Unity, Unreal, Godot | View |
| Embedded & IoT | Hardware/firmware | C, C++, Rust, FreeRTOS | View |
| Blockchain & Web3 | Smart contracts & dApps | Solidity, Rust, Foundry | View |
| Desktop Apps | Cross-platform desktop | Tauri, Electron, Qt | View |
Quick Start
For Claude Code (Native Integration)
1. Create CLAUDE.md in your project root
2. Paste content from prompts/english/agents/claude-agent-system-prompt.md into CLAUDE.md
3. Create .claude/commands/ for task-specific prompts
4. See the full setup guide: prompts/english/workflows/claude-code-setup-guide.md
For AI Agents (Claude Code, Copilot)
1. Copy content of claude-agent-system-prompt.md
2. Paste as system prompt
3. Give task → Agent runs APEI cycle automatically
For Interactive Sessions
1. Copy Foundation prompt + project-type prompt
2. Paste at start of Claude session
3. Describe your task → Follow the APEI cycle together
Token Budget Guide
| Context Budget | Recommended Setup |
|---|---|
| < 2K tokens | Quick Reference only |
| 2K–8K tokens | Agent System Prompt |
| 8K+ tokens | Agent System + project-type prompt |
Common Combinations
| Project Type | Prompts to Use |
|---|---|
| AI Agent Task | Agent System |
| Claude Code Setup | Agent System + Workflow & Config |
| Claude Code Planning | Agent System + Mode Transitions |
| Token-Efficient Session | Agent System + Token Optimization |
| Debug / Fix Bugs | Agent System + Debugging & Troubleshooting |
| Production Incident | Agent System + Debugging + Monitoring |
| New Project | Agent System + Project Workflow |
| Choose Best Tools | Agent System + Technology Stack |
| System Architecture | Agent System + Architecture Patterns |
| Full-Stack App (modern) | Agent System + Full-Stack Development |
| API Design (GraphQL) | Agent System + API Design & GraphQL |
| Complex Multi-Step Task | Agent System + Prompt Chaining |
| Add AI/LLM Features | Agent System + AI & LLM Integration |
| Code Review | Agent System + Code Review |
| Security Check | Agent System + Security Audit |
| Compliance Audit | Agent System + Compliance & Governance |
| Accessibility Check | Agent System + Accessibility Audit |
| Reduce Tech Debt | Agent System + Refactoring |
| Framework/DB Migration | Agent System + Migration & Upgrade |
| Write Tests | Agent System + Testing |
| Write Docs | Agent System + Documentation |
| Optimize Speed | Agent System + Performance |
| Cloud Deployment | Agent System + Cloud & Infrastructure |
| Data Pipelines | Agent System + Data Engineering |
| Set Up Monitoring | Agent System + Monitoring & Observability |
| Git Workflow | Agent System + Git & VCS |
| Cross-Cutting Integrity | Agent System + Integration Guardian |
| Multi-Agent Teamwork | Agent System + Multi-Agent Orchestration |
| Monorepo Architecture | Agent System + Monorepo & Complex Projects |
| Error Handling | Agent System + Error Handling & Resilience |
| Improve Developer Experience | Agent System + Developer Experience & Tooling |
| Database Optimization | Agent System + Database Design & Optimization |
| Build Design System | Agent System + UI/UX & Design Systems |
| Full Claude Code Setup | Agent System + Workflow + Modes + Token Optimization |
| React / Vue App | Foundation + Web Development |
| REST API | Foundation + API Development |
| ML Model | Foundation + Data Science & ML |
| Mobile App | Foundation + Mobile |
| DevOps / Infra | Foundation + DevOps & CI/CD |
| Database Design | Foundation + Database & SQL |
| General Software | Foundation + General Software |
| Game Development | Foundation + Game Development |
| Embedded / IoT | Foundation + Embedded & IoT |
| Smart Contracts | Foundation + Blockchain & Web3 |
| Desktop App | Foundation + Desktop Apps |
Repository Structure
prompts/
└── english/
├── agents/ # Agent-optimized prompts (34 files)
├── base/ # Foundation prompt
├── project-types/ # Domain-specific prompts (11 files)
├── examples/ # Real-world usage examples (10 files)
└── workflows/ # APEI methodology, prompt selection, troubleshooting, setup & best practices guides
Resources
| Resource | Description |
|---|---|
| QUICK-START.md | 30-second setup guide |
| USAGE.md | Detailed examples & advanced usage |
| CONTRIBUTING.md | Contribution guidelines |
| CHANGELOG.md | Version history |
| CLAUDE.md | AI agent configuration for this repo |
| Agent Index | Full agent prompt catalog |
| Prompt Index | All prompts organized by category |
| Prompt Selector | Decision tree for choosing prompts |
| Workflow Guide | APEI methodology deep-dive |
| Troubleshooting Guide | Issue diagnosis & resolution flowchart |
| Claude Code Setup Guide | .claude/ directory, CLAUDE.md hierarchy, prompt placement |
| Best Practices Guide | Prompt customization, team standards, measuring effectiveness |
Customization
Fork → Modify prompts → Add team standards → Use.
All prompts are MIT-licensed templates. Adapt for your stack, conventions, and tools.
Contributing
See CONTRIBUTING.md. Key areas: new project types, prompt improvements, examples.
License
MIT License — use, modify, and distribute freely.
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