# Donelane

> Donelane — app-donelane-donelane. Use this tool when you need to track and share team progress in a concise manner. Donelane solves the problem of manual status updates by automatically recording completed tasks into a team's standup feed, one line at a time. It takes in completed task information as input and outputs a brief update to the team's feed, ideal for daily or weekly team standups.

Canonical page: https://skillsregistry.net/skills/app-donelane-donelane  
JSON: https://api.skillsregistry.net/v1/skills/app-donelane-donelane

## Description

An agent records what it finished into a team's standup feed, one line at a time.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-23

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/app.donelane%2Fdonelane)

## Use it

MCP endpoint published by the skill: `https://donelane.app/mcp`

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": "app-donelane-donelane"
    }
  }
}
```

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