# telldone

> Use this tool when you need to automate Git workflows and track project progress. Telldone solves problems related to manual repository updates and task management, providing a streamlined interface for inputs like Git commits and outputs like automated task tracking. It is ideal for use in collaborative development contexts where version control and progress monitoring are crucial.

Canonical page: https://skillsregistry.net/skills/eugene-tarakanov-e8wt-telldone  
JSON: https://api.skillsregistry.net/v1/skills/eugene-tarakanov-e8wt-telldone

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/eugene-tarakanov-e8wt/telldone)

## 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": "eugene-tarakanov-e8wt-telldone"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eugene-tarakanov-e8wt-telldone` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eugene-tarakanov-e8wt-telldone/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