Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Use when the user wants to compare the same handful of terms across N contracts side-by-side in a grid — what is the term, survival period, carveouts, and governing law in each of these 5 NDAs? Returns a row-per-document × column-per-question grid with citations per cell. Reference skill for the M3-C output_format - table mode; intended as a starting point for operators to fork and tune for their own contract types.
Automate docs updates and command documentation generation. Use for generate-command-docs, enhance-command-docs, sidebar generation, and VitePress build checks.
Harness Engineering 第一阶段第二步：深度分析项目代码，填充业务解决方案、架构、约定、技术决策和质量标准等 docs/ 知识库内容。 在 harness-step1-create-agents-md 创建好目录骨架之后使用。当用户说"填充文档内容"、 "完善 docs/ 文件"、"让文档有实质内容"、"分析项目写架构文档"、"写 ARCHITECTURE.md"、 "写技术决策文档"、"从业务视角理解项目"、"完善 business-solution.md"时，立即使用此 skill。 前置条件：项目中已有 AGENTS.md 和 docs/ 目录骨架（由 harness-step1 创建）。
Ingest a research paper PDF into references/<name>/ for use as source material when implementing a basin solver. Runs a fast pymupdf4llm pass first, then optionally a slow marker pass on pages where math and figure fidelity matters. Use when the user provides a paper to translate into a solver implementation.
Parse and convert documents (PDFs, images, web pages, DOCX/XLSX/PPTX, audio) from the terminal using the `lexoid` CLI. Use when the user wants to extract markdown / JSON / LaTeX from a file or URL without writing Python, run schema-based structured extraction, or batch-parse from shell scripts. Triggers include "parse this PDF", "convert document to markdown", "extract JSON from PDF", "convert PDF to LaTeX", "use lexoid CLI", or any pipe/shell-style document-processing request.
Parse and convert documents (PDFs, images, web pages, DOCX/XLSX/PPTX, audio) inside a Python program using the `lexoid` library. Use when the user is writing Python code that needs to extract markdown from documents, run schema-constrained extraction, convert files to LaTeX, get bounding boxes, recursively crawl URLs, or integrate document parsing into a larger pipeline. Triggers include `from lexoid` imports, "use lexoid in Python", "parse PDFs programmatically", "extract structured data with a Pydantic/dataclass schema", or any request to embed parsing into a Python app/notebook.
Use when the user wants to compare the substantive commercial terms across N master services agreements side-by-side — term and renewal, payment terms, limitation of liability, and indemnification posture across each agreement. Returns a row-per-document × column-per-question grid with citations per cell. MSA-tuned reference skill for the M3-C `output_format - table` mode; intended as a fork-and-tune starting point for operators reviewing MSA portfolios.
Use when the user wants to compare the substantive NDA-specific terms across N non-disclosure agreements side-by-side — the definition of Confidential Information, permitted recipients, return/destruction obligation, and remedies clause across each agreement. Returns a row-per-document × column-per-question grid with citations per cell. NDA-tuned reference skill for the M3-C `output_format - table` mode; intended as a fork-and-tune starting point for operators reviewing NDA portfolios.
Use when extracting the negotiated positions from a single prior contract as input to the Easy Playbook auto-generation pipeline. Reads a contract's text, identifies the clauses that take a substantive position on a contract issue (definition of confidential information, limitation of liability, indemnification, payment terms, etc.), and emits a structured list of {issue, clause_text, source_offsets} for downstream clustering. Output is intermediate; the in-house attorney evaluates the final assembled playbook, not this stage.
Generate, modify, and render professional README.md files and project introduction HTML pages using the bundled README Generator Pro FastAPI application. Use when the user asks Codex to generate README documentation from a GitHub repository, uploaded or local project files, modify an existing generated README, create a project_page.html, or run the README Generator Pro web UI or REST API without changing its behavior.