# pindoc

> Use this tool when you need to manage and retain team knowledge and coding decisions, solving problems of information loss and duplicated effort. Pindoc provides a workflow for AI coding agents to store and retrieve typed artifacts, such as decisions, analyses, and debug logs. It offers a self-hosted solution with Docker Compose, streamlining team memory and collaboration.

Canonical page: https://skillsregistry.net/skills/var-gg-pindoc  
JSON: https://api.skillsregistry.net/v1/skills/var-gg-pindoc

## Description

Code-pinned team memory for AI coding agents — typed artifacts (Decision/Analysis/Debug/Task), MCP-native workflow, self-host with Docker Compose.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-05-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xecn7ixb7r)
- **Repository:** <https://github.com/var-gg/pindoc>

## 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": "var-gg-pindoc"
    }
  }
}
```

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