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closedloop

Open-source Claude Code plugins for multi-agent software delivery. Plan-first SDLC workflow, code review, LLM quality judges, and self-learn

Open source Open in the app JSON README (API)

About

Open-source Claude Code plugins for multi-agent software delivery. Plan-first SDLC workflow, code review, LLM quality judges, and self-learning — grounded in your codebase. Bootstrap, Plan, & Ship.

Details

Kind
Plugins
Topic
AI, RAG & memory
Publisher
closedloop-ai
Origin
marketplace
Category
ferramentas
Stars
103
Forks
10
Open pull requests
7
Last push
2026-09-12T09:09:54Z
Repository state
ativo
Language
Python
License
Apache-2.0
Added
2026-08-30 01:48:58
Updated
2026-08-30 01:48:58
Origin id
closedloop-ai/claude-plugins/closedloop

README

# ClosedLoop.AI Claude Plugins

<div>
  <img src="https://img.shields.io/badge/license-Apache%202.0-green" alt="License" />
  <img src="https://img.shields.io/badge/python-3.11+-blue" alt="Python 3.11+" />
  <img src="https://img.shields.io/badge/claude--code-plugin-purple" alt="Claude Code Plugin" />
</div>

<br/>

<img alt="Multi-Agent SDLC Grounded in Your Codebase" src="docs/images/hero.png" />

ClosedLoop is an AI platform that brings the speed of individual AI-driven development to the full software development team. We're offering our agents as open sourced Claude Code plugins because we just couldn't keep this a secret for ourselves — check out our agents for planning, code reviews, judging quality and more that outperform Opus 4.6 and Sonnet 4.5 out of the box.

**Bootstrap. Plan. Code. Ship.** It's that simple.

LLMs are great at non-deterministic content generation — horrible at being repeatably correct.

That's why we took Claude Code and extended it with a lightweight multi-agent orchestration workflow paradigm that works for us; modeling how we collaborate as a team.

Optimized for efficiency & correctness to produce code that lands without the churn; it's grounded in your codebase and outperforms Opus 4.6 out of the box at half the cost.

What's more impactful is that it allowed our team of engineers to shift left; reviewing and approving sprints-worth of work scope in documented implementation plans and generating the code while we slept.

Tickets become Tasks. Epics become Features. Sections of your quarterly roadmap land in a few PRs.

Multi-repository, adaptive self-learning, & artifact-bound phased workflow gates that loop until correct.

**Close the Loop on your SDLC with the same tools that made us 400% faster today.**

## Plugins

| Plugin | Description |
|--------|-------------|
| [**bootstrap**](plugins/bootstrap/) | Project bootstrapping and initial setup |
| [**code**](plugins/code/) | Code generation, implementation planning, and iterative development loop |
| [**code-review**](plugins/code-review/) | Automated code review with inline GitHub PR comments |
| [**judges**](plugins/judges/) | LLM-as-judge evaluators for plan and code quality |
| [**platform**](plugins/platform/) | Claude Code expert guidance, prompt engineering, and artifact management |
| [**self-learning**](plugins/self-learning/) | Pattern capture and organizational knowledge sharing |

## Prerequisites

- Python 3.11+ (3.13 recommended)
- [jq](https://jqlang.github.io/jq/)
- [Claude Code](https://claude.ai/code)

## Quick Start

**One-line install** — installs the five Symphony runtime plugins at user scope and keeps them auto-updated:

```bash
curl -fsSL https://raw.githubusercontent.com/closedloop-ai/claude-plugins/main/install.sh | bash
```

The installer installs `code`, `code-review`, `judges`, `platform`, and `self-learning`, then verifies those runtime plugins are present with existing install paths and enabled user-scoped entries. It re-enables disabled user-scoped runtime plugins and attempts to remove stale project-scoped duplicates when Claude reports a usable `projectPath`. If Claude reports a project-scoped entry without a usable project path, the installer prints the project-directory uninstall command and still repairs the user-scoped install. The `bootstrap` plugin remains available in the marketplace for manual installation, but it is not part of the default runtime install.

Or install interactively from within Claude Code:

```bash
claude /plugin marketplace install closedloop
```

### Codex example

This PR adds Codex metadata for the `code-review` plugin as a first
representative cross-harness install path:

```bash
codex plugin marketplace add https://github.com/closedloop-ai/claude-plugins
```

Then install **ClosedLoop Code Review** from the Codex Plugins UI. The same
`.codex-plugin/plugin.json` and `.agents/plugins/marketplace.json` pattern can
be repeated for the other ClosedLoop plugins.

Then start using the plugins:

```bash
# Plan. Code.
claude /code:code --prd requirements.md

# Review.
claude /code-review:start
```

<details>
<summary><strong>Development setup</strong></summary>

```bash
git clone git@github.com:closedloop-ai/claude-plugins.git
cd claude-plugins
git config core.hooksPath .githooks
```

</details>

## Benchmarks
<img width="1421" height="862" alt="image" src="https://github.com/user-attachments/assets/82e42af7-9386-4a36-9bc0-2fd5d3564eba" />


## Contributing

See [CONTRIBUTING.md](CONTRIBUTING.md) for development setup, workflow, and code style guidelines.

## Evals and production telemetry

The `evals/code-review/` directory contains a small human-review eval set for
review finding quality, finding verification, and inline PR comment drafting.
The cases are harness-neutral so the same plugin behavior can be checked in
Claude Code, Codex, or another agent workspace before release.

If you publish plugins through Telvine, keep runtime telemetry metadata-only:
`skill.invocation.start`, `skill.invocation.end`, and `skill.invocation.error`
for skill behavior, plus `plugin.component.invoked` and
`plugin.component.error` for commands, agents, tools, or other non-skill
components. Do not emit prompts, repository file contents, connector payloads,
tool arguments, GitHub tokens, inline comment bodies, or model outputs.

## Disclaimer
Our claude code plugins are a low-key engineering preview of the agents that run the larger ClosedLoop platform. These agents should be used for testing in trusted environments.

## License

[Apache License 2.0](LICENSE)

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