proof-writer
Writes rigorous mathematical proofs for ML/AI theory.
Skill by wanshuiyin
Chalk Labs
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Install
Works with Claude Code. Read the repository before you give any tool access to your data.
npx agentmarket install skill/wanshuiyin-proof-writer
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: ml
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/proof-writer
Tools it pre-approves 6
From allowed-tools in SKILL.md: the agent may use these without asking you each time.
Read,Write,Edit,Grep,Glob,Skill(lean-formalize)
What's inside
- Skill name
proof-writer- Description
- Writes rigorous mathematical proofs for ML/AI theory. Use when asked to prove a theorem, lemma, proposition, or corollary, fill in missing proof steps, formalize a proof sketch, 补全证明, 写证明, 证明某个命题, or determine whether a claimed proof can actually be completed under the stated assumptions.
- License
- MIT
- Allowed tools
- Read,, Write,, Edit,, Grep,, Glob,, Skill(lean-formalize)
- Instructions
- 231 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Proof Write: Rigorous Theorem / Lemma Drafting Write a mathematically honest proof package, not a polished fake proof. ## Constants - DEFAULT_PROOF_DOC = `PROOF_PACKAGE.md` in project root - STATUS = `PROVABLE AS STATED | PROVABLE AFTER WEAKENING / EXTRA ASSUMPTION | NOT CURRENTLY JUSTIFIED` ## Context: $ARGUMENTS ## Goal Produce exactly one of: 1. a complete proof of the original claim 2. a corrected claim plus a proof of the corrected claim 3. a blockage report explaining why the claim is not currently justified ## Inputs Extract and normalize: - exact theorem / lemma / proposition / corollary statement - explicit assumptions - notation and definitions - any user-provided proof sketch, partial proof, or intended strategy - nearby lemmas or claims in local notes, appendix files, or theorem drafts if the request points to them - desired output style if specified: concise, appendix-ready, or full-detail If notation or assumptions are ambiguous, state the exact interpretation you are using before proving anything. ## Workflow ### Step 1: Gather Proof Context Determine the target proof file with this priority: 1. a file path explicitly specified by the user 2. a proof draft already referenced in local notes or theorem files 3. `PROOF_PACKAGE.md` in project root as the default target Read the relevant local context: - the chosen target proof file, if it already exists - theorem notes, appendix drafts, or files explicitly mentioned by the user Extract: - exact claim - assumptions - notation - proof sketch or partial proof - nearby lemmas that the draft may depend on ### Step 2: Normalize the Claim Restate: - the exact claim being proved - all assumptions, separately from conclusions - all symbols used in the claim Identify: - hidden assumptions - undefined notation - scope ambiguities - whether the available sketch proves the full claim or only a weaker variant Preserve the user's original theorem statement unless a change is explicitly required. If you use a stronger normalization or cleaner internal formulation only to make the proof easier, keep that as an internal proof device rather than silently replacing the original claim. ### Optional Lean proof route When the user requests Lean, or formalizing a specific proof obligation would materially help establish correctness, invoke [`/lean-formalize`](../lean-formalize/SKILL.md) with the original statement, current attempt, and known dependencies. It develops the proof as well as its formal implementation. Return the checked scope, exported theorem and remaining obligations to this proof package. A partial result closes only its corresponding obligation. When called by `lean-formalize` to develop a missing mathematical argument, return that argument and remaining gaps to the calling Lean run; do not invoke `lean-formalize` recursively. Ordinary proof drafting does not require Lean; difficulty alone does not trigger it. ### Step 3: Feasibility Triage Before writing a proof, classify the claim into exactly one status: - `PROVABLE AS STATED` - `PROVABLE AFTER WEAKENING / EXTRA ASSUMPTION` - `NOT CURRENTLY JUSTIFIED` Check explicitly: - does the conclusion actually follow from the listed assumptions? - is any cited theorem being used outside its conditions? - is the claim stronger than what the available argument supports? - is there an obvious counterexample, boundary case, or quantifier failure? If the claim is not provable as stated, do NOT fabricate a proof. Do NOT silently strengthen assumptions or narrow the theorem's scope just to make the proof work. ### Step 4: Build a Dependency Map Choose a proof strategy, for example: - direct - contradiction - induction - construction - reduction to a known result - coupling / probabilistic argument - optimization inequality chaining Then write a dependency map: - main claim - required intermediate lemmas - named theorems or inequalities that will be cited - which assumptions each nontrivial step depends on - boundary cases that must be handled separately If one step is substantial, isolate it as a lemma instead of burying it in one sentence. ### Step 5: Write the Proof Document Write to the chosen target proof file. If the target proof file already exists: - read it first - update the relevant claim section - do not blindly duplicate prior content
From wanshuiyin/Auto-claude-code-research-in-sleep, MIT.
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Signals
- Stars
- 18,007
- Forks
- 1,488
- Open issues
- 58
- Last commit (this folder)
- Oct 6, 2026 (25 days ago)
- Last release
- Sep 28, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
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Writes rigorous mathematical proofs for ML/AI theory.
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AI4Scientist
Writes rigorous mathematical proofs for ML/AI theory.
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proof-writer
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Writes rigorous mathematical proofs for ML/AI theory.
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More from wanshuiyin
- 0.699score
paper-poster-html
wanshuiyin
DEFAULT poster pipeline — build an academic conference poster (ICML/NeurIPS/ICLR/CVPR/...) as a single HTML/CSS file with measurement-driven hard gates, real…
SkillAFreshness: A★ 18KClaude Code - 0.699score
paper-illustration-image2
wanshuiyin
Generate publication-quality academic illustrations through a local Codex app-server bridge that uses Codex native image generation.
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lean-formalize
wanshuiyin
Develop and verify a mathematical proof in Lean, continue an incomplete Lean project, or audit whether it proves the original statement.
SkillAFreshness: A★ 18KClaude Code - 0.699score
figure-spec
wanshuiyin
Generate deterministic publication-quality architecture, workflow, and pipeline diagrams from structured JSON (FigureSpec) into editable SVG.
SkillAFreshness: A★ 18KClaude Code +9 - 0.699score
proof-orchestrator
wanshuiyin
Manage a stateful, run-directory-based proof project: continuation across runs, run-local source bookkeeping, manual GPT Pro handoff packages when a local…
SkillAFreshness: A★ 18KClaude Code - 0.699score
render-html
wanshuiyin
Render an ARIS Markdown / JSON artifact (IDEA_REPORT, AUTO_REVIEW, KILL_ARGUMENT, PAPER_PLAN, research-wiki state, etc.) into a single-file HTML view designed…
SkillAFreshness: A★ 18KClaude Code +9
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proof-writer skill. Agent Mart. https://agentmart.dev/skills/wanshuiyin-proof-writer (last updated 2026-10-24)