self-improvement plugins

by Mohit Aggarwal

Personal wellbeing & self-improvement skills: home workouts, stretching & mobility, posture, habit-building, journaling, gratitude, sleep, couch-to-5K, desk ergonomics, energy, screen-time, and recovery days. Educational — not medical advice.

by Daniel Radman

Turn feature requests into review-ready pull requests: issue, implementation, tests, a review-and-fix loop, and docs. Runs locally or on GitHub Actions, and is built for complex brownfield repos. Each week its retrospective reads what you actually merged and proposes improvements to your skill extensions.

by SkillOpt (Microsoft)

Give your local Claude agent a nightly 'sleep cycle': it reviews your past sessions offline, replays recurring tasks on your own API budget, and consolidates what it learns into validated memory (CLAUDE.md) and skills (SKILL.md) behind a held-out gate, staged for your review. Self-improvement with no model-weight training.

by Gregory Block

Autonomous learning for Special Circumstances: a daily self-improvement loop, a graduation pipeline, and a continuous-learning promotion ladder — always human-gated at promotion. Requires frank-exchange-of-views.

by devantler-tech

The autonomous engineering system for repository portfolios — engineer, read-only surveyor, and meta-engineer agents; portfolio, product, spend, and improvement workflows; cross-tool instruction architecture and skill discovery; configured by the consumer AGENTS.md

by office-skills

Auto Office v3 adaptive orchestration runtime: durable role packets, harness/model/effort routing, adapter trust, quota-aware cost policy, verification, private telemetry, replay, maturity, and isolated self-improvement. Human merge-to-main remains mandatory.

by Robert Pauls

Bounded, value-aligned self-improvement workflows (ESRA) for Claude Code: five on-demand skills plus a dependency-free local runtime for evidence logs, baselines, experiments, audits, and human-reviewed oversight proposals.

by x-mesh

Structured retrospective — reflect on failures together, find root causes, explore alternatives, and grow

by Amer Ansari

Learns how you work from every session — corrections, rejected actions, mistakes — and applies it to the next one.

by Mariusz Rakus

Background reflection on Claude Code sessions that promotes recurring lessons into skills, hooks, rules and agents, tracks artifact usage feedback, and ships a local web UI to review and rate them. Runs on Bun, no Python required.