proof-cooker

Synthesize source-indexed proof material into reusable proof-usage entries.

2|1|Updated May 7, 2026
One-click install
npx skills add https://github.com/shenmuxing/EtaSkill --skill proof-cooker
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: proof-cooker
Source: https://github.com/shenmuxing/EtaSkill/tree/main/skill-examples/proof-cooker
Command: npx skills add https://github.com/shenmuxing/EtaSkill --skill proof-cooker

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you transform indexed proof material into a reusable proof-usage playbook, so future agents can find, compare, and adapt proof patterns without rereading every source item.

Core Features & Use Cases

  • Cluster and de-duplicate evidence: Groups source-local proof items by reusable shape while preserving important differences in assumptions, rates, and failure modes.
  • Build a searchable taxonomy: Writes cooked entries into proof-usage with clear names, required assumptions, core moves, and adaptation guidance.
  • Maintain traceability: Keeps stable material IDs, source maps, and public attribution so each cooked entry can be traced back to its origin.
  • Use case: When many proof snippets have accumulated across sources, use this Skill to synthesize them into a concise, discoverable playbook that a later proof agent can apply quickly.

Quick Start

Use the proof-cooker skill to synthesize the indexed proof-material files into reusable proof-usage entries while preserving material IDs and source traceability.

Frequently Asked Questions about proof-cooker

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

FAQPage Schema
How do I organize accumulated proof snippets into a searchable playbook?

To organize accumulated proof snippets into a searchable playbook, synthesize source-indexed proof material into reusable entries. This process clusters evidence by reusable shape while preserving differences in assumptions and failure modes.

What is the best way to de-duplicate mathematical proof material while keeping source traceability?

De-duplicating mathematical proof material while keeping source traceability involves grouping source-local proof items by reusable shape. The system preserves stable material IDs, source maps, and public attribution so each cooked entry traces back to its origin.

How do I build a proof taxonomy from clustered proof shapes?

Building a proof taxonomy from clustered proof shapes requires writing cooked entries into proof-usage with clear names, required assumptions, core moves, and adaptation guidance. This creates a concise, discoverable playbook for later application.

Can I synthesize proof material without losing explicit assumptions and failure modes?

You can synthesize proof material without losing explicit assumptions and failure modes by using a proof synthesis process that requires preservation of material IDs, explicit assumptions, failure modes, adaptation guidance, and public attribution.

When do I need to maintain a source map for proof cataloging?

You need to maintain a source map for proof cataloging when many proof snippets have accumulated across sources. It ensures traceability so future agents can find, compare, and adapt proof patterns without rereading every source item.

Does proof synthesis work for clustering evidence across different sources?

Proof synthesis works for clustering evidence across different sources by grouping source-local proof items into reusable shapes. It catalogs these entries while maintaining the distinct differences in assumptions, rates, and failure modes across the clustered materials.