agentic-system-prompts

作者 tallesborges已验证

A curated collection of system prompts and tool definitions from production AI coding agents

170
Stars
23
Forks
Jinja
语言
2026/8/23
添加时间

⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/tallesborges/agentic-system-prompts

快速入门

使用 agentic-system-prompts 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

AI Agent System Prompts Library

GitHub stars GitHub license GitHub last commit

What makes agentic coding applications different? TBH, it's mostly their system prompts, the tools they provide, and how they actually use them. In this repo, I'm documenting these system prompts and tools from different agentic coding solutions.

Table of Contents

Agent Comparison

AgentProviderTypeTools
Claude CodeAnthropicCLI15
Gemini CLIGoogleCLI11
ClineOpen SourceVS Code12
AiderOpen SourceCLIGit-based
Roo CodeRooCode IncVS Code12
ZedZed IndustriesEditor15
Codex CLI (Rust)OpenAICLI1

What's Included

Each agent directory contains:

  • System Prompts - Complete prompt templates with role definitions and instructions
  • Tool Documentation - Detailed API specifications for all available tools
  • Source Attribution - Direct links to original sources with retrieval dates
  • README - Overview with GitHub repository links and feature summaries

Research Value

This collection provides insights into:

  • Prompt Engineering Patterns - How production systems structure AI instructions
  • Tool Design - Common patterns in AI agent tooling and capabilities
  • Safety Measures - Security considerations and defensive programming practices
  • User Experience - How different agents handle interaction and workflow management

Contributing

  1. Create a new directory under agents/[agent-name]/
  2. Add a system-prompt.md file with the complete system prompt
  3. Document tools in agents/[agent-name]/tools/ directory
  4. Include source information and retrieval date in headers
  5. Follow the established template formats (see CLAUDE.md)

Roadmap

Planned additions to this repository:

  • Tools Comparison - Detailed analysis and comparison of tools across different agents
  • Prompts Analysis - In-depth analysis of prompt engineering patterns and techniques

License

This collection is provided for research and educational purposes. Original prompts and tools remain property of their respective creators. See individual agent directories for specific source attributions.

常见问题

What is agentic-system-prompts?

agentic-system-prompts is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by tallesborges. A curated collection of system prompts and tool definitions from production AI coding agents. It has 170 GitHub stars.

Is agentic-system-prompts safe to use?

Yes. agentic-system-prompts passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install agentic-system-prompts?

Clone the repository with "git clone https://github.com/tallesborges/agentic-system-prompts" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is agentic-system-prompts written in?

agentic-system-prompts is primarily written in Jinja. It is open-source under tallesborges on GitHub, so you can review or fork the full source.

Are there alternatives to agentic-system-prompts?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh agentic-system-prompts against similar tools.

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