Agent Skills

Formal theorem proving with research, testing, and verification phases

Install

npx skills add https://github.com/parcadei/continuous-claude-v3 --skill prove
SKILL.md

/prove - Machine-Verified Proofs (5-Phase Workflow)

For mathematicians who want verified proofs without learning Lean syntax.

Prerequisites

Before using this skill, check Lean4 is installed:

# Check if lake is available
command -v lake &>/dev/null && echo "Lean4 installed" || echo "Lean4 NOT installed"

If not installed:

# Install elan (Lean version manager)
curl https://raw.githubusercontent.com/leanprover/elan/master/elan-init.sh -sSf | sh

# Restart shell, then verify
lake --version

First run of /prove will download Mathlib (~2GB) via lake build.

Usage

/prove every group homomorphism preserves identity
/prove Monsky's theorem
/prove continuous functions on compact sets are uniformly continuous

The 5-Phase Workflow

┌─────────────────────────────────────────────────────────────┐
│  📚 RESEARCH → 🏗️ DESIGN → 🧪 TEST → ⚙️ IMPLEMENT → ✅ VERIFY  │
└─────────────────────────────────────────────────────────────┘

Phase 1: RESEARCH (before any Lean)

Goal: Understand if/how this can be formalized.

  1. Search Mathlib with Loogle (PRIMARY - type-aware search)

    # Use loogle for type signature search - finds lemmas by shape
    loogle-search "pattern_here"
    
    # Examples:
    loogle-search "Nontrivial _ ↔ _"           # Find Nontrivial lemmas
    loogle-search "(?a → ?b) → List ?a → List ?b"  # Map-like functions
    loogle-search "IsCyclic, center"           # Multiple concepts
    

    Query syntax:

    • _ = any single type
    • ?a, ?b = type variables (same var = same type)
    • Foo, Bar = must mention both
  2. Search External - What's the known proof strategy?

    • Use Nia MCP if available: mcp__nia__search
    • Use Perplexity MCP if available: mcp__perplexity__search
    • Fall back to WebSearch for papers/references
    • Check: Is there an existing formalization elsewhere (Coq, Isabelle)?
  3. Identify Obstacles

    • What lemmas are NOT in Mathlib?
    • Does proof require axioms beyond ZFC? (Choice, LEM, etc.)
    • Is the statement even true? (search for counterexamples)
  4. Output: Brief summary of proof strategy and obstacles

CHECKPOINT: If obstacles found, use AskUserQuestion:

  • "This requires [X]. Options: (a) restricted version, (b) accept axiom, (c) abort"

Phase 2: DESIGN (skeleton with sorries)

Goal: Build proof structure before filling details.

  1. Create Lean file with:

    • Imports
    • Definitions needed
    • Main theorem statement
    • Helper lemmas as sorry
  2. Annotate each sorry:

    -- SORRY: needs proof (straightforward)
    -- SORRY: needs proof (complex - ~50 lines)
    -- AXIOM CANDIDATE: v₂ constraint - will test in Phase 3
    
  3. Verify skeleton compiles (with sorries)

Output: proofs/<theorem_name>.lean with annotated structure

Phase 3: TEST (counterexample search)

Goal: Catch false lemmas BEFORE trying to prove them.

For each AXIOM CANDIDATE sorry:

  1. Generate test cases

    -- Create #eval or example statements
    #eval testLemma (randomInput1)  -- should return true
    #eval testLemma (randomInput2)  -- should return true
    
  2. Run tests

    lake env lean test_lemmas.lean
    
  3. If counterexample found:

    • Report the counterexample
    • Use AskUserQuestion: "Lemma is FALSE. Options: (a) restrict domain, (b) reformulate, (c) abort"

CHECKPOINT: Only proceed if all axiom candidates pass testing.

Phase 4: IMPLEMENT (fill sorries)

Goal: Complete the proofs.

Standard iteration loop:

  1. Pick a sorry
  2. Write proof attempt
  3. Compiler-in-the-loop checks (hook fires automatically)
  4. If error, Godel-Prover suggests fixes
  5. Iterate until sorry is filled
  6. Repeat for all sorries

Tools active:

  • compiler-in-the-loop hook (on every Write)
  • Godel-Prover suggestions (on errors)

Phase 5: VERIFY (audit)

Goal: Confirm proof quality.

  1. Axiom Audit

    lake build && grep "depends on axioms" output
    
    • Standard: propext, Classical.choice, Quot.sound ✓
    • Custom axioms: LIST EACH ONE
  2. Sorry Count

    grep -c "sorry" proofs/<file>.lean
    
    • Must be 0 for "complete" proof
  3. Generate Summary

    ✓ MACHINE VERIFIED (or ⚠️ PARTIAL - N axioms)
    
    Theorem: <statement>
    Proof Strategy: <brief description>
    
    Proved:
    - <lemma 1>
    - <lemma 2>
    
    Axiomatized (if any):
    - <axiom>: <why it's needed>
    
    File: proofs/<name>.lean
    

Research Tool Priority

Use whatever's available, in order:

Tool Best For Command
Loogle Type signature search (PRIMARY) loogle-search "pattern"
Nia MCP Library documentation mcp__nia__search
Perplexity MCP Proof strategies, papers mcp__perplexity__search
WebSearch General references WebSearch tool
WebFetch Specific paper/page content WebFetch tool

Loogle setup: Requires ~/tools/loogle with Mathlib index. Run loogle-server & for fast queries.

If no search tools available, proceed with caution and note "research phase skipped".

Checkpoints (automatic)

The workflow pauses for user input when:

  • ⚠️ Research finds obstacles
  • ❌ Testing finds counterexamples
  • 🔄 Implementation hits unfillable sorry after N attempts

Output Format

┌─────────────────────────────────────────────────────┐
│ ✓ MACHINE VERIFIED                                  │
│                                                     │
│ Theorem: ∀ φ : G →* H, φ(1_G) = 1_H                │
│                                                     │
│ Proof Strategy: Direct application of              │
│ MonoidHom.map_one from Mathlib.                    │
│                                                     │
│ Phases:                                             │
│   📚 Research: Found in Mathlib.Algebra.Group.Hom  │
│   🏗️ Design: Single lemma, no sorries needed       │
│   🧪 Test: N/A (trivial)                           │
│   ⚙️ Implement: 3 lines                            │
│   ✅ Verify: 0 custom axioms, 0 sorries            │
│                                                     │
│ File: proofs/group_hom_identity.lean               │
└─────────────────────────────────────────────────────┘

What I Can Prove

Domain Examples
Category Theory Functors, natural transformations, Yoneda
Abstract Algebra Groups, rings, homomorphisms
Topology Continuity, compactness, connectedness
Analysis Limits, derivatives, integrals
Logic Propositional, first-order

Limitations

  • Complex proofs may take multiple iterations
  • Novel research-level proofs may exceed capabilities
  • Some statements are unprovable over ℚ (need ℝ extension)

Behind The Scenes

  • Lean 4.26.0 - Theorem prover
  • Mathlib - 100K+ formalized theorems
  • Godel-Prover - AI tactic suggestions (via LMStudio)
  • Compiler-in-the-loop - Automatic verification on every write
  • Research tools - Nia, Perplexity, WebSearch (graceful degradation)

See Also

  • /loogle-search - Search Mathlib by type signature (used in Phase 1 RESEARCH)
  • /math-router - For computation (integrals, equations)
  • /lean4 - Direct Lean syntax access

Related skills

researchmattpocock575KInvestigate a question against high-trust primary sources and capture the findings as a Markdown file in the repo. Use when the user wants a topic researched, docs or API facts gathered, or reading legwork delegated to a background agent.paper-context-resolverlllllllama451KRigor Paper Context helper for README-first deep learning repo reproduction. Use only when the README and repository files leave a narrow reproduction-critical gap and the task is to resolve a specific paper detail such as dataset split, preprocessing, evaluation protocol, checkpoint mapping, or runtime assumption from primary paper sources while recording conflicts. Do not use for general paper summary, repo scanning, environment setup, command execution, title-only paper lookup, or replacing Renv-and-assets-bootstraplllllllama450KRigor Setup skill for README-first deep learning repo reproduction. Use when the task is specifically to prepare a conservative conda-first environment, checkpoint and dataset path assumptions, cache location hints, and setup notes before any run on a README-documented repository. Do not use for repo scanning, full orchestration, paper interpretation, final run reporting, or generic environment setup that is not tied to a specific reproduction target.ai-research-explorelllllllama311KRigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates. Use when the researcher has chosen the task family, dataset, benchmark, evaluation method, provided SOTA references, and wants candidate-only exploration on top of `current_research` with auditable repo understanding, idea gating, fair comparison, and governed experiments written to `explore_outputs/`. Do not use for README-first trusted reproduction, open-ended direction finding, narrow c

Search skills and MCP servers

Fuzzy search across 23,137 skills and servers