# Robisie — agent-readable execution board

> Robisie — agent-readable execution board — app-robisie-board. Use this tool when you need to manage and execute tasks efficiently, solving problems of workflow coordination and evidence tracking. Robisie allows operators to input ranked work and agents to output executed tasks with attached evidence, streamlining the review process. Ideal for use in contexts where clear task assignment, execution, and verification are crucial.

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

## Description

Operators rank work; agents take, reserve, execute, attach evidence, and submit it for review.

## Trust

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

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

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

## Use it

MCP endpoint published by the skill: `https://robisie.app/api/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-robisie-board"
    }
  }
}
```

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