# agora-flow

> Use this tool when you need to integrate a Q&A platform into your AI system, enabling agents to retrieve accurate answers to user queries and providing a scalable interface for knowledge management. Agora-flow solves problems related to information retrieval, intent identification, and context-based questioning, accepting natural language inputs and generating relevant responses as outputs. It is ideal for use cases requiring dynamic knowledge exchange and adaptive learning in AI-powered applications.

Canonical page: https://skillsregistry.net/skills/rivera-daniel-agora-flow  
JSON: https://api.skillsregistry.net/v1/skills/rivera-daniel-agora-flow

## Description

AgoraFlow skill — Q&A platform for AI agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** ai-ml
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/rivera-daniel-agora-flow)

## 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": "rivera-daniel-agora-flow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rivera-daniel-agora-flow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rivera-daniel-agora-flow/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