manifest-dev

作者 doodledood已验证

Loop engineering for Claude Code and other agent CLIs: figure the problem out first, define what done means, then execute and verify every criterion independently.

69
Stars
9
Forks
Python
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/doodledood/manifest-dev

快速入门

使用 manifest-dev 等 Skills 的指南。

安全报告

已验证

上次扫描:—

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

README.md

Manifest Dev Logo

manifest-dev

Skills for agentic coding CLIs. They keep three things in your project instead of in your head: what it's becoming, what's worth doing next, and what done means here. The agent reads them, works against them, and checks the result before reporting it finished.

Agents can write almost anything. What they can't do is tell you whether it was worth writing. So a project drifts: every session re-derives the direction from scratch, and speed produces more work than anyone can evaluate. Writing those three things down where the agent reads them is the whole idea.

Start with one command, in any repository:

/figure-out why do half my background jobs silently stall?

It reads your code first, then comes back with the question that decides the work. Nothing gets built until you both know what "right" means here.

The three things, and where they live

Each one makes the next decidable. You can't judge what's worth doing without knowing what the project is for, and you can't judge a diff without knowing what done means:

What it answersWhere it livesLifetime
What is this project becoming?A North Star, in the repoStands until you change it
What's worth doing next?A Ticket, in your tracker or in filesAs long as that piece of work
What does done mean here?A Manifest, written per runResets every run

/init-context sets up the first of these, along with a glossary and decision-record conventions, seeding them from the project's own history where there is any. /ticket-up writes the second. /define writes the third, and /do executes against it.

Install

Claude Code is the primary target:

/plugin marketplace add doodledood/manifest-dev
/plugin install manifest-dev@manifest-dev

Every skill also works on its own. If you only want the one from the top of this page:

npx skills add doodledood/manifest-dev --skill figure-out

The workflow

Three skills, run in order, though each is useful alone:

/figure-out <topic>          # understand the problem before touching anything
/define <what you want>      # write down what you'd accept
/do <manifest-path>          # build it, then verify every criterion

/define turns understanding into a Manifest: the deliverables, the criteria each one has to meet, and the rules that hold across all of them. It calls /figure-out first if the conversation hasn't reached understanding yet.

/do implements against that Manifest and can't report completion until every criterion has evidence behind it. Verification runs independently of the work by default, so "it's done" is a finding rather than a claim.

flowchart TD
    A["/define"] --> B["Manifest — what you'd accept"]
    B --> C["/do"]
    C --> D["Implement"]
    D --> E["Verify every criterion"]
    E -->|any fail| F["Fix, re-verify"]
    F --> E
    E -->|all pass| G["Done, with evidence"]
    E -->|real blocker| H["Escalate"]
    classDef gate fill:#15803D,stroke:#0F172A,color:#FFFFFF;
    classDef done fill:#0F172A,stroke:#15803D,color:#FFFFFF;
    classDef stop fill:#B45309,stroke:#0F172A,color:#FFFFFF;
    class E gate;
    class G done;
    class H stop;

/auto chains all three without stopping for approval between them. /just-do and /just-auto are leaner variants that pursue the same Manifest with less process.

For an unattended run, point your host's goal-setting or continuation capability at the completion contract /do prints. Where a host offers neither, /do prints the contract for you to use with whatever keeps the run alive.

What it costs

More tokens and more work up front than prompting directly. What you get back is a first pass that lands closer to done and a result you can check rather than take on trust. Writing acceptance criteria also keeps you engaged with your own code, which matters more the more of it the agent writes.

Resist jumping in mid-/do. It won't get everything first try — that's what the verify loop is for.

What's in it

Two plugins ship from this repository:

PluginWhat it covers
manifest-devThe workflow itself, project setup, ticket authoring and execution, and the review skills the criteria call on
manifest-dev-toolsPull-request collaboration, prompt work, teaching, and handoff between sessions

Each plugin's README lists what it ships.

Other CLIs

The Claude Code plugins are the source; dist/ carries generated distributions for other hosts.

CLIInstall
Claude Code/plugin install manifest-dev@manifest-dev
Codex CLIcodex plugin marketplace add doodledood/manifest-devdetails
Pipi install git:github.com/doodledood/manifest-dev@maindetails
OpenCodeclone, then add one path to your config — details

Individual skills install into many other agents through npx skills add doodledood/manifest-dev --skill <name>.

Decisions behind the multi-CLI design are indexed in docs/adr/.

Development

./scripts/setup.sh
source .venv/bin/activate

ruff check --fix claude-plugins/ tests/ && black claude-plugins/ tests/ && mypy && python3 -m pytest tests/

Run /sync-tools after changing plugin components to regenerate dist/.

Contributing

This is built for its author's own projects and shared as it's used. See CONTRIBUTING.md for how the plugins are put together.

License

MIT

常见问题

What is manifest-dev?

manifest-dev is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by doodledood. Loop engineering for Claude Code and other agent CLIs: figure the problem out first, define what done means, then execute and verify every criterion independently. It has 69 GitHub stars.

Is manifest-dev safe to use?

Yes. manifest-dev 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 manifest-dev?

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

What programming language is manifest-dev written in?

manifest-dev is primarily written in Python. It is open-source under doodledood on GitHub, so you can review or fork the full source.

Are there alternatives to manifest-dev?

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 manifest-dev against similar tools.

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