thinkinglabs

Accesses thinkinglabs corpus via Markdown files, JSON APIs, and MCP endpoints.

Updated Apr 30, 2026
One-click install
npx skills add https://github.com/flaming-codes/thinkinglabs --skill thinkinglabs
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: thinkinglabs
Source: https://github.com/flaming-codes/thinkinglabs/tree/main/.claude/skills/thinkinglabs
Command: npx skills add https://github.com/flaming-codes/thinkinglabs --skill thinkinglabs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill provides an interface to easily discover, query, and interact with the public thinkinglabs corpus, which contains markdown-based thoughts, claims, projects, predictions, decisions, questions, and AI provenance events.

Core Features & Use Cases

  • Discover Content: Access and navigate through the extensive public content indexed in thinkinglabs.
  • Query Public Collections: Interact with collections through APIs or MCP tools.
  • MCP Endpoint Access: Connect to the remote MCP endpoint for in-depth exploration.
  • Contact Intent Precheck: Prepare human email handoff with contact.precheck.
  • Submit Structured Answers: Submit answers to public questions using question.submit.

Quick Start

To start, query a specific topic in the thinkinglabs corpus by providing the topic as input to the thinkinglabs skill.

Frequently Asked Questions about thinkinglabs

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query the thinkinglabs public corpus for markdown content?

Query the thinkinglabs public corpus by providing a specific topic as input to the skill, which then accesses markdown files, JSON APIs, and remote MCP endpoints to retrieve structured content.

Can I submit structured answers to public questions using MCP endpoints?

Yes, you can submit structured answers to public questions within the thinkinglabs corpus by using the question.submit MCP endpoint after preparing your markdown content.

What is the best way to discover content and navigate public collections in thinkinglabs?

Discover content and navigate public collections in thinkinglabs by interacting with the available JSON APIs or connecting directly to the remote MCP endpoint for in-depth exploration.

Do I need to understand JSON APIs and Markdown to use the thinkinglabs corpus?

Yes, using the thinkinglabs corpus requires a foundational understanding of Markdown, JSON APIs, and MCP endpoints to effectively query content and prepare structured submissions.

Can I prepare a human email handoff when interacting with the thinkinglabs corpus?

Yes, you can prepare a human email handoff for contact intent by utilizing the contact.precheck MCP endpoint provided within the thinkinglabs corpus interface.