self-learning
Capture, export, process, analyze, prune, and share learnings from ClosedLoop runs using a global deduplicated store, TOON-formatted org-patterns knowledge base, goal performance stats with trends, git-synced team patterns, and configurable cleanup workflows.
Component Overview
Install
npx claudepluginhub closedloop-ai/claude-plugins --plugin self-learningComponent Details
Commands (6)
Exports pending ClosedLoop learnings to global location with deduplication
Analyzes goal performance across runs, showing pass rates, pattern effectiveness, and improvement trends
Process pending learnings from a ClosedLoop run into org-patterns.toon
Manual command to invoke the pruning script for cleaning up old learnings
Pulls shared organization patterns into local org-patterns.toon
Pushes local org-patterns to the shared organization repository
Skills (2)
Structured format for capturing high-quality learnings during ClosedLoop runs
This skill should be used when writing or parsing TOON (Token-Oriented Object Notation) files. Triggers on .toon file operations, org-patterns.toon generation, or when converting between JSON and TOON formats. Provides syntax rules, quoting conventions, and examples for LLM-optimized data serialization.
README
ClosedLoop.AI Claude Plugins
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 | Project bootstrapping and initial setup |
| code | Code generation, implementation planning, and iterative development loop |
| code-review | Automated code review with inline GitHub PR comments |
| judges | LLM-as-judge evaluators for plan and code quality |
| platform | Claude Code expert guidance, prompt engineering, and artifact management |
| self-learning | Pattern capture and organizational knowledge sharing |
Prerequisites
- Python 3.11+ (3.13 recommended)
- jq
- Claude Code
Quick Start
# Install a plugin from the marketplace
claude /plugin marketplace install closedloop
# Or install from source for development
git clone git@github.com:closedloop-ai/claude-plugins.git
cd claude-plugins
git config core.hooksPath .githooks
# Bootstrap.
claude /bootstrap:start
# Plan. Code.
claude /code:start --prd requirements.md
Benchmarks
Contributing
See CONTRIBUTING.md for development setup, workflow, and code style guidelines.
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
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