# windlass

> windlass — blakestone-x-windlass. Use this tool when you need to automate repetitive tasks with reliability and precision, solving problems of task failure and manual intervention. The windlass tool takes in task definitions and success criteria as inputs and outputs managed task runs with retry loops, making it ideal for use cases requiring robust automation. It is particularly useful in contexts where tasks have high failure rates or require frequent retries.

Canonical page: https://skillsregistry.net/skills/blakestone-x-windlass  
JSON: https://api.skillsregistry.net/v1/skills/blakestone-x-windlass

## Description

Enables running and managing automated tasks with retry loops and machine-checkable success criteria via MCP tools.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/df63w44aip)
- **Repository:** <https://github.com/blakestone-x/windlass>

## 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": "blakestone-x-windlass"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/blakestone-x-windlass` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/blakestone-x-windlass/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