amaannawab923

Labrynth β€” Data skill for Claude Code

Data community

AI-powered data connector generation using multi-agent orchestration.

How to install Labrynth

This entry records only its repository, not the path inside it, so there is no exact command to give. Open amaannawab923/labrynth and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Labrynth does

AI-powered data connector generation using multi-agent orchestration.

Alternatives in Data

  • MCP Server Chart β€” πŸ€– A visualization mcp & skills contains 25+ visual charts using @antvis 4k β˜…
  • Portaljs Add Resource β€” Add another file (resource) to an EXISTING dataset in a PortalJS portal β€” a data dictionary, methodology, or a 2.3k β˜…
  • AgriQuant AI β€” AI-powered weather intelligence for agricultural commodity futures 707 β˜…

README

Agentic Connectors

**AI-powered data connector generation using multi-agent orchestration**

An autonomous system that generates production-ready data connectors using Claude AI agents orchestrated by LangGraph. Give it an API name, and it researches, codes, tests, reviews, and publishes a complete connectorβ€”all without human intervention.


How It Works

β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”     β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”     β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”     β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”     β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚  Research   │────▢│  Generator  │────▢│   Tester    │────▢│ Test Review  │────▢│  Reviewer   β”‚
β”‚    Agent    β”‚     β”‚    Agent    β”‚     β”‚    Agent    β”‚     β”‚    Agent     β”‚     β”‚    Agent    β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜
      β”‚                   β–²                   β–²                    β”‚                    β”‚
      β”‚                   β”‚                   β”‚                    β”‚                    β”‚
      β”‚                   β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”΄β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                    β”‚
      β”‚                        (Retry loops with intelligent feedback)                  β”‚
      β”‚                                                                                 β–Ό
      β”‚                                                                          β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
      └──────────────────────────────────────────────────────────────────────────│  Publisher  β”‚
                                                                                 β”‚    Agent    β”‚
                                                                                 β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

The Agents

Agent Role Tools
Research Agent Searches the web for API documentation, authentication patterns, rate limits, and existing implementations WebSearch, WebFetch, Read
Generator Agent Writes production-quality Python connector code with proper error handling, retries, and type hints Read, Write, Edit, Bash
*