# Promptimprover

> Promptimprover — coding-autopilot-system-promptimprover. Use this tool when you need to refine and govern prompts for AI models, leveraging RAG-powered refinement and ISO 27001 compliance framing to ensure secure and accurate outputs. It takes in raw prompts as input and outputs refined, compliant prompts, streamlining the development process for AI applications. Ideal for use cases requiring precise and secure prompt management, such as in regulated industries or large-scale AI deployments.

Canonical page: https://skillsregistry.net/skills/coding-autopilot-system-promptimprover  
JSON: https://api.skillsregistry.net/v1/skills/coding-autopilot-system-promptimprover

## Description

MCP-first prompt governance, refinement, and engineering evidence correlation

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/Coding-Autopilot-System/Promptimprover)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "coding-autopilot-system-promptimprover"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/coding-autopilot-system-promptimprover` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/coding-autopilot-system-promptimprover/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt