# Standards

> Use this tool when you need to automate the improvement of project standards and conventions in AI-assisted development teams. It captures tool executions, extracts patterns, and learns from corrections to continuously update CLAUDE.md files, providing intelligent hooks and validation engines to ensure quality gates. The system is ideal for teams seeking to enhance their AI assistants' ability to adapt to project-specific conventions without manual intervention.

Canonical page: https://skillsregistry.net/skills/mattstrautmann-standards  
JSON: https://api.skillsregistry.net/v1/skills/mattstrautmann-standards

## Description

A self-learning AI standards system that automatically captures tool executions from Claude Code and extracts patterns to continuously improve CLAUDE.md files and project standards. Built by Matt Strautmann, the implementation uses significance scoring to identify valuable learning opportunities from tool usage, tracks agent performance over time, and maintains temporal knowledge graphs to understand how preferences evolve. The system provides intelligent hooks for automatic knowledge capture, pattern extraction for learning from corrections and repetitions, and validation engines that enforce quality gates while learning from failures, making it useful for development teams who want their AI assistants to automatically learn and adapt project-specific conventions without manual intervention.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/mattstrautmann-standards)
- **Repository:** <https://github.com/airmcp-com/mcp-standards>

## 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": "mattstrautmann-standards"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mattstrautmann-standards` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mattstrautmann-standards/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