ClosedLoop Claude Plugins
A marketplace of eight Claude Code and Codex plugins: planning from a PRD, coding, PR review, self-learning and vibe sessions
- 124 ★ on the repository
- Last commit
- Apache-2.0
Broad access
Why this level
- Agents write code, create branches and comment on pull requests, and part of the process runs without you until review.
- The install script is downloaded from the network and changes the user's plugin settings.
Install
- Works in
Manual install
curl -fsSL https://raw.githubusercontent.com/closedloop-ai/claude-plugins/main/install.sh | bashThe quick install from the README: four plugins at user scope; the alternative is claude /plugin marketplace install closedloop.
Access and checks
How we reviewBroad accessThe tool can change data, run commands or handle secrets.
- Agents write code, create branches and comment on pull requests, and part of the process runs without you until review.
- The install script is downloaded from the network and changes the user's plugin settings.
This is third-party code. Review the repository files before installing.
What it does
ClosedLoop Claude Plugins is ClosedLoop's open marketplace of agents for the full development cycle. It holds eight plugins: `bootstrap` for initial project setup, `code` for plans and iterative implementation, `vibe` and `vibe-core` for vibe sessions and ticket workflows, `closedloop-core` with shared planning, diagrams, review, QA and PR monitoring, `code-review` with inline GitHub PR comments, `platform` with Claude Code guidance and `self-learning` for capturing patterns. The process is a multi-agent chain with phase gates: plans from a PRD, implementation, independent review and loops until conditions are met. Commands run from Claude Code, for example `/code:code --prd requirements.md`. Some plugins ship Codex manifests.
Who it is for. Engineering teams that want a ready multi-agent chain from PRD to pull request with review and accumulated experience across tasks.
Good fit when
- A PRD has to become an implementation plan and code without starting from a blank page.
- A pull request needs automated review with comments on specific lines.
- The team needs to accumulate lessons between tasks and share them.
- One plugin set has to go into both Claude Code and Codex.
Not a fit when
- You need one small command with no infrastructure: eight plugins with dependencies are excessive.
- Python 3.11 or jq is missing, and the plugins do not run without them.
- Policy forbids installing through a `curl | bash` script.
Example request
/code:code --prd requirements.md: build an implementation plan from the PRD, then implement in phases and show the review result.Limitations
Python 3.11 or newer (3.13 recommended), jq and Claude Code are required. The quick install script installs four plugins, `code`, `code-review`, `platform` and `self-learning`, at user scope, verifies them, re-enables disabled ones and keeps them updated, so read it before running. For Codex `closedloop-core` is installed separately and `vibe-core` hooks are approved in the `/hooks` menu. Claims of outperforming Opus 4.6 and Sonnet 4.5 and of 400 percent speed are the authors' own and count as marketing without independent verification. The latest commit is from November 2026.
How to disable. Run `/plugin uninstall` for each installed plugin (code, code-review, platform, self-learning) or disable them in `/plugin`. For Codex remove plugins with `codex plugin remove`.
FAQ
Which plugins are included?
Eight: `bootstrap`, `code`, `vibe`, `closedloop-core`, `vibe-core`, `code-review`, `platform` and `self-learning`.
How do I install it in Codex?
Run `codex plugin marketplace add https://github.com/closedloop-ai/claude-plugins`, then `codex plugin add closedloop-core@closedloop-ai` and the plugins you need. Restart the app after installing.
What does `code-review` do?
Runs automated review and leaves inline comments in a GitHub pull request.
How do I start on a task?
With `/code:code --prd requirements.md` in Claude Code: the plugin builds a plan from the PRD and drives implementation in phases.
Are separate dependencies needed?
Yes: Python 3.11 or newer, jq and Claude Code. For Codex, `closedloop-core` is installed explicitly.
Discussion
No questions or reviews yet.
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README in short
The central idea is multi-agent orchestration grounded in the codebase with adaptive self-learning and phase gates. The team's benchmarks live in the `.closedloop-ai` directory.