# trackstar

> trackstar — xuancongwen-trackstar. Use this tool when you need to manage and track projects with agility, solving problems of disorganized task prioritization and team velocity measurement. It provides a simple interface with a REST API and MCP server, accepting project data as input and outputting tracked progress and velocity metrics. Ideal for development teams seeking a self-hosted, lightweight alternative to traditional project management tools.

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

## Description

Lightweight self-hosted project tracker in the spirit of Pivotal Tracker: icebox, backlog, iterations, points and velocity. One Go binary, one SQLite file, with a REST API and MCP server for AI agents.

## Trust

- **Trust score (0–1):** 0.78
- **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/xuancongwen/trackstar)

## 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": "xuancongwen-trackstar"
    }
  }
}
```

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