# Capytail

> Use this tool when you need to efficiently route multiple skills and capabilities without loading unnecessary context, saving resources and improving performance. Capytail solves the problem of slow skill loading and execution by selecting relevant skills beforehand, allowing for faster and more targeted processing. It takes in skill requests and outputs optimized routing decisions, making it ideal for use cases with numerous skills and capabilities.

Canonical page: https://skillsregistry.net/skills/juancruzmunozalbelo-capytail  
JSON: https://api.skillsregistry.net/v1/skills/juancruzmunozalbelo-capytail

## Description

Capytail is a local MCP capability router that selects relevant skills before loading context, enabling efficient routing without executing or loading all skills upfront.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cxlkw3y74k)
- **Repository:** <https://github.com/juancruzmunozalbelo/capytail>

## 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": "juancruzmunozalbelo-capytail"
    }
  }
}
```

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