# ASTGL Knowledge

> Use this tool when you need to quickly find relevant information across a vast repository of technical articles, tutorials, and guides. It solves problems of information overload and slow search by providing fast and accurate semantic search results, topic comparisons, and direct answers. Ideal for users seeking specific knowledge or tutorials, with a simple interface that accepts queries and returns relevant results, making it suitable for daily research and learning tasks.

Canonical page: https://skillsregistry.net/skills/jmeg8r-astgl-knowledge  
JSON: https://api.skillsregistry.net/v1/skills/jmeg8r-astgl-knowledge

## Description

ASTGL Knowledge provides semantic search across 49 indexed articles, tutorials, and guides from As The Geek Learns (ASTGL). Six tools cover queries, direct answers, tutorial retrieval, topic comparisons, and latest content, using pre-computed vector embeddings for fast lookup without requiring Ollama at runtime. Free tier provides 50 daily queries; registration unlocks 500.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/jmeg8r-astgl-knowledge)
- **Repository:** <https://github.com/jmeg8r/mcp-astgl-knowledge>

## 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": "jmeg8r-astgl-knowledge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jmeg8r-astgl-knowledge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jmeg8r-astgl-knowledge/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