# Intent

> Intent — sixbyfive-intent. Use this tool when you need to track the reasoning and context behind code changes in software projects. It solves problems of knowledge loss and unclear decision-making by capturing plans, decisions, and constraints in a git-native format. This tool takes in git data and project information, and outputs a readable project context that can be understood by AI systems.

Canonical page: https://skillsregistry.net/skills/sixbyfive-intent  
JSON: https://api.skillsregistry.net/v1/skills/sixbyfive-intent

## Description

Git-native reasoning layer for software projects. Track the why behind code with plans, decisions, constraints, and AI-readable project context.

## Trust

- **Trust score (0–1):** 0.81
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/SixByFive/Intent)

## 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": "sixbyfive-intent"
    }
  }
}
```

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