# answerLoops

> answerLoops — answerloops-answerloops. Use this tool when you need to provide instant answers to community inquiries by leveraging your existing documentation. It solves the problem of tedious and repetitive support queries by converting docs into actionable responses, streamlining the support process for agents. With git integration, it accepts documentation inputs and outputs relevant answers, ideal for use in high-volume support environments.

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

## Description

Agent-native AI support that turns your docs into answers for your community. Built for your agents with skills and MCP.

## Trust

- **Trust score (0–1):** 0.46
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/answerLoops/answerLoops)

## 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": "answerloops-answerloops"
    }
  }
}
```

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