# colign

> colign — colign-colign. Use this tool when you need to streamline spec writing and team alignment for software development projects, leveraging AI-powered capabilities to enhance collaboration and productivity. It solves problems of inefficient communication and misalignment among team members by providing a spec-driven development platform. The tool integrates with git and AI tools like Claude Code and Cursor, accepting code and spec inputs to produce aligned team outputs.

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

## Description

AI-powered spec writing & team alignment platform — Spec-Driven Development for teams using Claude Code, Cursor, and other AI tools

## Trust

- **Trust score (0–1):** 0.76
- **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/colign/colign)

## 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": "colign-colign"
    }
  }
}
```

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