# AskAi

> AskAi — faastlab-askai. Use this tool when you need to efficiently index, search, and summarize large amounts of information, and generate human-like responses to complex queries. AskAi solves problems related to information overload, knowledge retrieval, and automated response generation, providing a comprehensive interface for inputting queries and receiving concise, relevant outputs. Ideal for use cases requiring end-to-end question answering and summarization capabilities.

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

## Description

Open Source RAG based index, search, summarisation and AskAI LLM project. Complete product end to end ready to use.

## Trust

- **Trust score (0–1):** 0.48
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

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

## 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": "faastlab-askai"
    }
  }
}
```

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

---
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