# kanban-pro

> kanban-pro — galvani-kanban-pro. Use this tool when you need to manage and track shared work pipelines with precision and transparency. Kanban-pro solves problems of workflow disorganization and lack of accountability by enforcing state transitions and providing work reports and audit trails. It accepts work items and state transitions as inputs and outputs detailed reports and pipeline visualizations, ideal for coding agents working on collaborative projects.

Canonical page: https://skillsregistry.net/skills/galvani-kanban-pro  
JSON: https://api.skillsregistry.net/v1/skills/galvani-kanban-pro

## Description

A kanban board system served over MCP that lets coding agents manage shared work pipelines with enforced state transitions, work reports, and audit trails.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rvn6rawf0o)
- **Repository:** <https://github.com/galvani/kanban-pro>

## 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": "galvani-kanban-pro"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/galvani-kanban-pro` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/galvani-kanban-pro/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