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writing-lean-proofs

Writes and reviews structured Lean 4 proofs and designs Lean libraries following Mathlib conventions

Install / Use

npx skills add trailofbits/skills --skill writing-lean-proofs

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

84/100

Supported Platforms

Universal

Our assessment of writing-lean-proofs

writing-lean-proofs scores 84/100 on our quality scale, 299th of 504 Content & Media skills we index.

Its SKILL.md is 16 KB long, well organised into 13 sections with 1 code example: a thorough specification that gives an agent plenty to work with.

With 7,225 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
17/20
Description
12/15
Adoption
16/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 3 days ago, so writing-lean-proofs is actively maintained.
  • It is released under the CC-BY-SA-4.0 license; check its terms before commercial use.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

writing-lean-proofs compared with similar skills

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Frequently asked questions

How do I install writing-lean-proofs?
Run npx skills add trailofbits/skills --skill writing-lean-proofs. The install tabs above show the steps for each supported agent.
Which AI agents does writing-lean-proofs work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is writing-lean-proofs safe to use?
It is CC-BY-SA-4.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is writing-lean-proofs still maintained?
The repository was last updated 3 days ago, so writing-lean-proofs is actively maintained.

name: writing-lean-proofs description: "Writes and reviews structured Lean 4 proofs and designs Lean libraries following Mathlib conventions. Use when proving theorems in Lean, formalizing mathematics or specifications in Lean 4, defining new types or definitions in a Lean library, reviewing Lean proofs for readability and maintainability, refactoring long tactic proofs into lemmas, filling in sorry placeholders in a Lean development, setting up CI or linters for a Lean project, diagnosing slow proofs or maxHeartbeats timeouts, or writing custom tactics, macros, or linters."

Writing Lean Proofs

Contents

Structured Lean 4 proof writing and library design, distilled from Mathlib's style and review conventions and from the methodology of large formalization projects (Liquid Tensor Experiment, PFR, Fermat's Last Theorem).

Core principle: design top-down, prove bottom-up. Lean propositions are proof-irrelevant — only a theorem's statement can affect later declarations. Statements are the stable interface; proofs are disposable and freely replaceable. Put design effort into definitions and statements, then fill in proofs against skeletons that already compile (modulo sorry).

When to Use

  • Proving theorems in Lean 4, from single lemmas to multi-file developments
  • Formalizing mathematics, protocols, or software specifications in Lean
  • Defining new types, structures, or functions in a Lean library
  • Reviewing Lean code for readability, maintainability, or Mathlib readiness
  • Refactoring a long or fragile tactic proof into lemmas
  • Setting up a formalization project that several people or agents will contribute to in parallel
  • Setting up CI, linters, or verification gates for a Lean project — do this at project start, before patterns propagate
  • Diagnosing slow proofs, maxHeartbeats timeouts, or expensive reduction
  • Writing custom tactics, macros, or project-specific linters

When NOT to Use

  • Lean 4 as a general-purpose programming language (no proofs involved) — most of this skill targets proof and API structure
  • Coq, Isabelle, Agda, or Lean 3 — conventions and tactic names differ; Lean 3 idioms (ge_or_gt linting, discrete_field) are obsolete
  • Verified-software Lean projects with their own house style (e.g. spec-traceability-first codebases): Mathlib conventions are the community default, but check the project's CONTRIBUTING first and defer to it

The workflow

1. Design definitions and their API first

Definitions carry the design weight. Before proving anything about a new concept:

  • Prefer total functions with junk values over subtypes or Option in signatures (Mathlib: (0 : ℝ)⁻¹ = 0). Side conditions then appear only on the lemmas that need them, not at every use site.
  • Bundle: new morphism kinds are structures with a FunLike instance; new subobject kinds use SetLike; carry property proofs as structure fields, not separate IsHom-style predicates.
  • Pick the canonical spelling (simp-normal form) for every concept with multiple equivalent forms, and state all API lemmas for that form only.
  • Write the API in the same file, immediately: ext, @[simp], coercion, and injectivity lemmas — before the definition is used anywhere. Downstream proofs use the API, never unfold/show ... from rfl.

See library-design.md for the full set of design rules with rationale.

2. Build a sorry skeleton

State everything before proving anything, at every scale:

  • Project scale: state the target theorem and the lemmas it needs, all with := sorry, and make the file compile. Each sorry is now an independent work unit — a contributor (human or LLM) can discharge one without understanding the rest. This is how LTE, PFR, and FLT scale to dozens of parallel contributors.
  • Proof scale: inside a proof, lay out the have/suffices/calc skeleton with sorry justifications, get Lean to accept the structure, then fill each step. Keeping the structure intact is what produces useful error messages while you work.
example (a b c d : ℝ) (h : c = d * a + b) (h' : b = a * d) : c = 2 * a * d := by
  calc
    c = d * a + b     := sorry
    _ = d * a + a * d := sorry
    _ = 2 * a * d     := sorry

3. Fill goals, one focused goal at a time

  • Every new subgoal gets a focusing dot · with an indented block — never leave several goals active in unfocused sequence (Mathlib's multiGoal linter enforces this). This is what kills fragile goal-ordering dependence.
  • Open each block with a redundant show stating its goal. The proof works without it; reviewers and future editors need it. If show would change the goal, use change instead — keep stated goals honest.
  • Chained rewrites of (in)equalities become calc blocks, relations aligned vertically.
  • have for forward stepping stones ("we first establish X"); suffices for backward reduction ("it suffices to show X").
  • While drafting, annotate the goal state as a comment before non-obvious tactics — emitted by Lean, never imagined. In a headless workflow, insert trace_state at the point of interest or a deliberate done where goals should be closed, then run lake env lean Path/To/File.lean; copy the reported hypotheses, case name, and target. Strip routine probes after the proof works. This is the single most effective technique for LLM-written proofs (see llm-techniques.md).

See proof-style.md for the full tactic-style rules, and naming-conventions.md for naming lemmas so their names are guessable from their statements.

4. Verify mechanically

Do not eyeball-check style — run the checkers. lake build is the floor, and it is only the floor: sorry is a warning, so a green build exits 0 with sorries still present.

  • Gate unproved obligations by asking the kernel, never by grepping. #print axioms myTheorem for a spot check; for CI, collect axioms per declaration with Lean.collectAxioms and assert the whole expected footprint ([propext, Classical.choice, Quot.sound] unless deliberately widened), so a stray sorry or a new trust assumption like native_decide fails loudly. Grep is wrong in both directions: it matches the word in comments, and it misses a theorem whose own text is clean but which applies an unproved helper. Working script in linting.md.
  • Choose lints by project role and put them in CI at project start. Do not enable linter.mathlibStandardSet wholesale in a downstream project: it combines proof-maintenance checks with public-API checks, house style, and Mathlib-specific repository policy. For a self-contained proof, start with linter.auxLemma, linter.style.maxHeartbeats, linter.style.multiGoal, linter.style.setOption, and linter.style.show. A reusable library should additionally enable linter.flexible, linter.style.missingEnd, linter.style.openClassical, and the two unused*InType checks. Treat nativeDecide as a trust-policy choice and formatting or deprecated-syntax checks as project style. No warning gates anything unless warnings fail the build. Run Batteries' declaration-level #lint checks, including simpNF, separately. Verify every option against the pinned Mathlib source and with a known-trigger fixture: a misspelled weak. option is intentionally ignored. The complete 26-member audit and lakefile profiles are in linting.md.
  • Write a custom linter for every project-specific convention (simp-set discipline, summary-lemma coverage, required attributes) — a declaration-level @[env_linter] is one structure, and it is the only thing that reliably catches "the attribute is missing on 29 of 30 declarations". See linting.md for the recipe and the engineering rules (vacuity anchors, prove-it-can-fail, allowlists).

The extraction ladder

When does proof structure graduate into separate lemmas?

  1. Before extracting, state the fragment's type and search by shape. Put the proposed statement in a scratch example, run exact? and apply? on the bare goal, then try a type-pattern and source search. If an existing theorem fits, use it. Do not report an API gap without recording the searches that failed.

  2. A sub-argument repeats within one proof → name it as a local have.

    theorem min_comm (a b : ℝ) : min a b = min b a := by
      have h : ∀ x y : ℝ, min x y ≤ min y x := by
        intro x y
        apply le_min
        · show min x y ≤ y
          exact min_le_right x y
        · show min x y ≤ x
          exact min_le_left x y
      apply le_antisymm
      · show min a b ≤ min b a
        exact h a b
      · show min b a ≤ min a b
        exact h b a
    
  3. The statement is independently interesting, or extraction sheds hypotheses the sub-argument does not need → standalone lemma. Dropping unneeded hypotheses is the stronger trigger: the extracted lemma becomes more general than the proof it came from.

  4. The proof reads as "long and unwieldy" → split it. This is Mathlib's review criterion, and it is deliberately qualitative — there is no line threshold. Resolve doubt by attempting the extraction: if a fragment has a clean statement, it wanted to be a lemma.

Quick reference

| Rule | Why | Enforced by | |------|-----|-------------| | Never unfold definitions downstream; erw or trailing rfl = missing API | API lemmas are the abstraction boundary | review ("missing API" smell) | | Terminal simp stays unsqueezed; non-terminal simp becomes simp only [...] | squeezed terminal calls bury the key lemmas and break on renames | style guide | | One focused goal at a time (· blocks) | kills goal-ordering fragility | linter.style.multiGoal | | show must not change the goal (use change) | stated goals stay honest | linter.style.show | | No set_option debug/trace/profiler or unscoped maxHeartbeats in final code | debugging scaffolding | linter.style.setOption | | State lemmas in simp-normal form, < not > | simp matches syntactically | simpNF linter | | Golf only when the result is at least as readable; trivial results exempt | short ≠ better | review | | Fact instances are local, never global | global instances degrade all typeclass search | review | | Name lemmas from their statements (see naming reference) | names become guessable without search | linter.style.nameCheck catches only __; #lint defsWithUnderscore and review cover more | | Search a bare goal by shape before writing a helper or claiming an API gap | names are not always guessable from the target | exact?, apply?, type/source search | | Generally one tactic invocation per line; a one-line closing proof is the exception | preserves readable proof structure without inventing an absolute rule | style guide | | Gate sorry with collectAxioms/#print axioms, never grep | grep matches comments, misses unproved helpers | axiom audit in CI | | Prefer simp-lemma LHSs keyed on structure, not numerals; one spelling per constant | 2 ^ 32 never matches a goal normalized to 4294967296 | simpNF, review | | Re-derive every simp only list with simp? at its own site | lists do not transfer between look-alike goals | linter.flexible | | Every maxHeartbeats override is an unproven claim — measure before believing | copy-pasted budgets carry no information | #count_heartbeats, bisection | | Conditional simp lemma fir

Truncated for display — read the full file on GitHub.

Related Skills

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GitHub Stars7.2k
CategoryContent
Updated3d ago
Forks615

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

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