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AGENT SKILL

proof-theory

proof-theory 是面向生活方式的 Agent Skill,来自 parcadei/Continuous-Claude-v3。查看技能说明、操作步骤与使用约定,并通过原项目了解详细用法。

Problem-solving strategies for proof theory in mathematical logic

SKILL.md

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nameproof-theory
descriptionProblem-solving strategies for proof theory in mathematical logic
allowed-tools["Bash", "Read"]

Proof Theory

When to Use

Use this skill when working on proof-theory problems in mathematical logic.

Decision Tree

  1. Proof Strategy Selection - Direct proof: assume premises, derive conclusion - Proof by contradiction: assume negation, derive false - Proof by cases: split on disjunction - Induction: base case + inductive step

  2. Structural Induction - Define well-founded ordering on structures - Base: prove for minimal elements - Step: assume for smaller, prove for current - z3_solve.py prove "induction_principle"

  3. Cut Elimination - Gentzen's Hauptsatz: cuts can be eliminated - Subformula property: only subformulas appear - Useful for proof normalization

  4. Completeness/Soundness Check - Soundness: if provable then valid - Completeness: if valid then provable - z3_solve.py prove "soundness_theorem"

  5. Proof Verification - Check each step follows from rules - Verify dependencies are satisfied - math_scratchpad.py verify "proof_steps"

Tool Commands

Z3_Induction_Base

uv run python -m runtime.harness scripts/cc_math/z3_solve.py prove "P(0)"

Z3_Induction_Step

uv run python -m runtime.harness scripts/cc_math/z3_solve.py prove "ForAll([n], Implies(P(n), P(n+1)))"

Z3_Soundness

uv run python -m runtime.harness scripts/cc_math/z3_solve.py prove "Implies(derivable(phi), valid(phi))"

Math_Verify

uv run python -m runtime.harness scripts/cc_math/math_scratchpad.py verify "proof_structure"

Cognitive Tools Reference

See .claude/skills/math-mode/SKILL.md for full tool documentation.

来源:parcadei/Continuous-Claude-v3 · MIT 许可 · 许可原文 · MD 为来源页保存的历史版本