# lockstep

> lockstep — lockstep-team-agent-lockstep. Use this tool when you need to coordinate AI coding agents without exposing source code, to solve version control and collaboration challenges in distributed development environments. It integrates with git to ensure seamless synchronization and consistency across teams. This enables secure and efficient collaboration on AI projects, promoting lockstep development without compromising intellectual property.

Canonical page: https://skillsregistry.net/skills/lockstep-team-agent-lockstep  
JSON: https://api.skillsregistry.net/v1/skills/lockstep-team-agent-lockstep

## Description

Keep your team's AI coding agents  coordinated — without sharing source code.

## Trust

- **Trust score (0–1):** 0.75
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/lockstep-team-agent/lockstep)

## 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": "lockstep-team-agent-lockstep"
    }
  }
}
```

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