skill-lean-research

Delegate Lean-4 theorem proving research tasks to the lean-research-agent.

5|Updated Feb 28, 2026
One-click install
npx skills add https://github.com/benbrastmckie/ProofChecker --skill skill-lean-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: skill-lean-research
Source: https://github.com/benbrastmckie/ProofChecker/tree/main/.opencode_NEW/skills/skill-lean-research
Command: npx skills add https://github.com/benbrastmckie/ProofChecker --skill skill-lean-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Lean research tasks automation by delegating theorem proving inquiries to an autonomous lean-research-agent, reducing manual investigation time.

Core Features & Use Cases

  • Research delegation: Offloads Lean-4 and Mathlib inquiries to an AI agent for rapid synthesis.
  • Workflow coordination: Tracks inputs, status, and artifacts, enabling repeatable lean research sprints.
  • Use Case: When you need a concise proof strategy or library reference for a Lean project, trigger the lean-research-agent to gather relevant lemmas and patterns.

Quick Start

Execute the Lean research skill to begin a lean-theorem-proving exploration with the lean-research-agent leading and returning a summarized artifact.

Frequently Asked Questions about skill-lean-research

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

FAQPage Schema
How do I automate Lean 4 theorem proving research tasks?

You can automate Lean 4 theorem proving research by delegating library lookups and proof strategy exploration to an autonomous research agent, which synthesizes relevant Mathlib references and lemmas.

What is the best way to find Mathlib references for a Lean project?

The best way to find Mathlib references is to delegate your Lean research inquiries to an AI agent that gathers relevant lemmas and patterns, returning a summarized artifact for rapid synthesis.

Can I use an AI agent to explore proof strategies in Lean 4?

Yes, you can use an AI agent to explore proof strategies in Lean 4 by offloading theorem proving inquiries, tracking research status, and producing return metadata artifacts for repeatable sprints.

Does the Lean research automation agent track workflow status?

Yes, the Lean research automation agent tracks workflow status by validating inputs, monitoring research progress, and producing a return metadata artifact to enable repeatable research sprints.

What are the limitations of automating formal verification with a research agent?

The limitation of automating formal verification with a research agent is that it delegates synthesis and gathering tasks rather than directly executing proofs, requiring manual validation of the returned lemma patterns.