# Continuous Improvement

> The persistent-memory and runtime-discipline layer for Claude Code. It remembers the corrections you already gave, grounds every edit in real facts before it lands, and — through the Mulahazah engine — turns each fix into a reusable instinct, so a lesson learned once is applied automatically next time with no re-teaching. Built on the 7 Laws of AI Agent Discipline (research, plan, verify, reflect, learn) and shipped as 28 bundled skills, instinct-aware hooks, an MCP toolset for recall and reflec

## Facts
- Page: https://tashan.sh/capability/plugin-naimkatiman-continuous-improvement-continuous-improvement
- tashan id: plugin:naimkatiman/continuous-improvement/continuous-improvement
- Source: https://github.com/naimkatiman/continuous-improvement
- Type: plugin
- Category: ai
- tashan score: 37.0 / 100
- Adoption: 7.0
- Upkeep: 64.0
- Freshness: 98.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
/plugin marketplace add naimkatiman/continuous-improvement
/plugin install continuous-improvement@continuous-improvement
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-14 by tashan (https://tashan.sh) from public evidence. Scorer s5.
