omnistack-agent

作者 Ricar66已验证

Platform-agnostic AI agent: one Full-Stack Software Engineer brain, compiled into ready-to-paste adapters for ChatGPT, Claude, Copilot, Gemini & Cursor. Zero-dependency, MIT.

66
Stars
19
Forks
JavaScript
语言
2026/8/24
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/Ricar66/omnistack-agent

快速入门

使用 omnistack-agent 等 Skills 的指南。

安全报告

已验证

上次扫描:—

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

README.md

omnistack-agent

License: MIT · PRs Welcome · Platforms

🇧🇷 Ler em Português

What is this

omnistack-agent is an open-source, platform-agnostic system prompt that turns any capable AI model into a Full Stack Software Engineering Specialist — one agent that fluidly takes on whichever engineering role a task needs, with object-oriented design as its default lens. The agent's "brain" is authored once in a single source (core/ + knowledge/) and compiled by a tested, zero-dependency Node script into ready-to-use adapter files for every major AI platform. You don't write prompts — you copy a file.

It can take on all ten of these roles:

  • Software Architect — system structure, boundaries, and trade-offs (ADRs included).
  • Full Stack Developer — end-to-end features across UI, API, and data.
  • Mobile Developer — native and cross-platform apps, offline, and push.
  • Backend Engineer — domain logic, services, jobs, and data integrity.
  • Frontend Engineer — accessible, performant UIs and predictable state.
  • Database Administrator — schemas, indexing, migrations, and tuning.
  • DevOps Engineer — CI/CD, Infrastructure as Code, and rollbacks.
  • QA Engineer — test plans, automated suites, and sharp bug reports.
  • Technical Writer — READMEs, API references, and architecture docs.
  • Software Mentor — the why behind the code, with runnable examples.

▶️ How to use

Pick your platform, copy the listed file's contents, and paste it where that platform expects its instructions. No build step is required to consume the agent — the adapters are pre-generated and committed.

PlatformFile to copyHow to install
ChatGPT (Custom GPT)adapters/chatgpt/custom-gpt-instructions.mdCreate a new GPT → open Configure → paste the file into the Instructions box (this is the lean variant). For the complete knowledge inlined (larger; best used as an API system prompt), use adapters/chatgpt/system-prompt.md.
Claude (Skill)adapters/claude/SKILL.mdDrop the file into your project's skills folder (e.g. .claude/skills/omnistack-agent/SKILL.md); it ships with YAML frontmatter and is user-invocable.
Claude (Agent)adapters/claude/agent.mdRegister it as a subagent in .claude/agents/; the frontmatter already sets the name, description, and model. For repo-wide guidance instead, use adapters/claude/AGENTS.md.
GitHub Copilotadapters/copilot/copilot-instructions.mdSave it as .github/copilot-instructions.md at your repository root → reload Copilot.
Gemini (Gem)adapters/gemini/gem-instructions.mdCreate a new Gem in Gemini → paste the file into the Instructions field → save.
Cursor / Windsurfadapters/cursor/AGENTS.mdPlace it as AGENTS.md at your project root so the editor picks it up automatically.
Generic (any LLM)adapters/generic/system-prompt.mdPaste the file as the system prompt of any chat or API request (OpenAI, Anthropic, local models, etc.).

Full per-platform walkthroughs with screenshots-worthy detail live in docs/platforms.md.

🤝 How to contribute

Contributions are welcome — new knowledge modules, language seeds, fixes, and translations all help. There is one golden rule:

Edit core/ or knowledge/ — never edit adapters/. The adapter files are generated. Hand-edits are overwritten by the next build and rejected by CI.

The workflow:

  1. Edit the source. Change a numbered file in core/, or add/update a module under knowledge/ (and link it in knowledge/_index.md).
  2. Rebuild the adapters. Run npm run build to regenerate every file under adapters/.
  3. Verify. Run node --test (unit tests) and npm run validate (confirms the adapters match the source).
  4. Open a PR. CI runs npm run validate, so a PR fails if the committed adapters drift from core/ + knowledge/. Always commit the regenerated adapters alongside your source change.

Requirements: Node ≥ 18, zero npm dependencies. See CONTRIBUTING.md for the full guide, including the knowledge-module template and commit conventions.

🗂️ Repository structure

omnistack-agent/
├── core/        # The agent's brain (single source): identity, principles,
│                #   capabilities, workflow, interaction style, guardrails.
├── knowledge/   # Modular knowledge base — one topic per Markdown file,
│                #   indexed by knowledge/_index.md.
├── adapters/    # GENERATED per-platform output. Do not edit by hand.
├── scripts/     # Zero-dependency Node build (build.mjs), drift-detecting
│                #   validate (validate.mjs), pure lib + tests.
├── docs/        # Guides: architecture, adding knowledge, platforms.
└── assets/      # Banner and other static media.

🛣️ Roadmap

  • More languages and frameworks in knowledge/ (Python, Go, Rust, Vue, Angular, .NET MAUI, and more).
  • Additional platform adapters as new AI tools emerge.
  • A curated examples/ folder with real prompts and the agent's responses.
  • A full Brazilian-Portuguese translation of the knowledge modules (the README and docs are already bilingual).
  • Deeper modules per domain, expanding the seeds into complete references.

📄 License

Released under the MIT License — free to use, modify, and distribute. See LICENSE.

常见问题

What is omnistack-agent?

omnistack-agent is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Ricar66. Platform-agnostic AI agent: one Full-Stack Software Engineer brain, compiled into ready-to-paste adapters for ChatGPT, Claude, Copilot, Gemini & Cursor. Zero-dependency, MIT. It has 66 GitHub stars.

Is omnistack-agent safe to use?

Yes. omnistack-agent 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 omnistack-agent?

Clone the repository with "git clone https://github.com/Ricar66/omnistack-agent" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is omnistack-agent written in?

omnistack-agent is primarily written in JavaScript. It is open-source under Ricar66 on GitHub, so you can review or fork the full source.

Are there alternatives to omnistack-agent?

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 omnistack-agent against similar tools.

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