# pier

> pier — chengzi-io-pier. Use this tool when you need to manage your agent fleet from a single platform, streamlining git-based deployments and updates to solve version control and collaboration challenges. It provides a unified interface for inputs like git repositories and outputs like automated deployments. Use pier in contexts where centralized management of distributed agents is crucial for efficient development and operation.

Canonical page: https://skillsregistry.net/skills/chengzi-io-pier  
JSON: https://api.skillsregistry.net/v1/skills/chengzi-io-pier

## Description

Your agent fleet, one pier.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/chengzi-io/pier)

## 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": "chengzi-io-pier"
    }
  }
}
```

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