Killer-Skills Review
Decision support comes first. Repository text comes second.
This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.
数学に焦点を当てたエージェントが、定理と補題の構造に対するスリムなコード生成を必要とする場合に最適です。 ローカライズされた概要: Draft sorryd theorem/lemma structure for a larger result from a proof sketch. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.
このスキルを使用する理由
Mathlibを利用し、定理と補題の構造をサポートして、エージェントが直接ソースファイル内でコンパイル可能なLeanコードを生成できるようにし、LeanとMathlibのプロトコルを通じた効率的な証明開発と検証を可能にします。
おすすめ
数学に焦点を当てたエージェントが、定理と補題の構造に対するスリムなコード生成を必要とする場合に最適です。
↓ 実現可能なユースケース for draft
! セキュリティと制限
- LeanとMathlibの知識が必要
- Leanコード生成のみ
- 研究のためのMathlibとプロジェクトリソースへのアクセスが必要
Why this page is reference-only
- - Current locale does not satisfy the locale-governance contract.
- - The underlying skill quality score is below the review floor.
Source Boundary
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Decide The Next Action Before You Keep Reading Repository Material
Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.
Start With Installation And Validation
If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Cross-Check Against Trusted Picks
If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Move To Workflow Collections For Team Rollout
When the goal shifts from a single skill to team workflows, approvals, and repeatable execution, move into workflow collections.
Browser Sandbox Environment
⚡️ Ready to unleash?
Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.
FAQ & Installation Steps
These questions and steps mirror the structured data on this page for better search understanding.
? Frequently Asked Questions
What is draft?
数学に焦点を当てたエージェントが、定理と補題の構造に対するスリムなコード生成を必要とする場合に最適です。 ローカライズされた概要: Draft sorryd theorem/lemma structure for a larger result from a proof sketch. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.
How do I install draft?
Run the command: npx killer-skills add jeffrey-dot-li/lean-homology. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.
What are the use cases for draft?
Key use cases include: 複雑な数学的証明のための定理構造のドラフト作成, 検証とバリデーションのための補題コードの生成, ソースファイルへの直接統合のためのコンパイル可能なLeanコードの作成.
Which IDEs are compatible with draft?
This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.
Are there any limitations for draft?
LeanとMathlibの知識が必要. Leanコード生成のみ. 研究のためのMathlibとプロジェクトリソースへのアクセスが必要.
↓ How To Install
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1. Open your terminal
Open the terminal or command line in your project directory.
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2. Run the install command
Run: npx killer-skills add jeffrey-dot-li/lean-homology. The CLI will automatically detect your IDE or AI agent and configure the skill.
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3. Start using the skill
The skill is now active. Your AI agent can use draft immediately in the current project.
! Reference-Only Mode
This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
draft
ローカライズされた概要: Draft sorryd theorem/lemma structure for a larger result from a proof sketch. This AI agent skill supports Claude Code, Cursor, and Windsurf