Skill-MCP

Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.

Analyze ML experiment results, compute statistics, generate comparison tables and insights. Use when user says "analyze results", "compare", or needs to interpret experimental data.

Draft patent claims for an invention. Use when user says "撰写权利要求", "draft claims", "写权利要求书", "claim drafting", or wants to create patent claims. The core skill of the patent pipeline.

Use Codex locally to update skills/index.json for Personal Skills MCP by reading only new or missing SKILL.md entries while preserving existing index entries.

深度学术研究与事实核查。Use when user says "深入研究", "深入核查", "深入核实", "深入检索", "深度调研", "深度研究", "deep research", "deep dive", "深入了解", "彻底调查", "全面核查", "深挖", or wants thorough multi-source literature investigation with PDF deep reading, cross-model adversarial review, and structured evidence audit. 注意：如果用户只是简单查文献/找论文/查参数，没有说"深入"或"深度"，请改用 quick-lit skill skill。本 skill 是重量级流程：文献检索 → PDF精读 → 交叉验证 → 对抗审阅 → 结构化报告。

Write detailed embodiment descriptions for patent specifications. Use when user says "撰写实施例", "write embodiment", "实施例描述", "detailed description", or wants to describe how to practice an invention.

Audit experiment integrity before claiming results. Uses cross-model review (GPT-5.4) to check for fake ground truth, score normalization fraud, phantom results, and insufficient scope. Use when user says "审计实验", "check experiment integrity", "audit results", "实验诚实度", or after experiments complete before writing claims.

Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.

Process user-provided patent figures and generate formal drawing descriptions. Use when user says "附图处理", "figure description", "附图说明", "drawings description", or wants to describe patent figures with reference numerals.

Structures and derives research formulas when the user wants to 推导公式, build a theory line, organize assumptions, turn scattered equations into a coherent derivation, or rewrite theory notes into a paper-ready formula document. Use when the derivation target is not yet fully fixed, the main object still needs to be chosen, or the user needs a coherent derivation package rather than a finished theorem proof.

Generate and rank research ideas given a broad direction. Use when user says "找idea", "brainstorm ideas", "generate research ideas", "what can we work on", or wants to explore a research area for publishable directions.

Structure a raw invention idea into a formal invention disclosure. Use when user says "构建发明", "structure invention", "发明构建", "invention disclosure", or wants to formalize a rough idea into a patent-ready structure.

Generate Mermaid diagrams from user requirements. Saves .mmd and .md files to figures/ directory with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.

Verify research idea novelty against recent literature. Use when user says "查新", "novelty check", "有没有人做过", "check novelty", or wants to verify a research idea is novel before implementing.

Zero-context verification that every number, comparison, and scope claim in the paper matches raw result files. Uses a fresh cross-model reviewer with NO prior context to prevent confirmation bias. Use when user says "审查论文数据", "check paper claims", "verify numbers", "论文数字核对", or before submission to ensure paper-to-evidence fidelity.

Plan publication-quality paper figures, plots, tables, captions, and visualization specifications from experimental results without requiring local scripts or file-system access.

Design paper-ready method diagrams, architecture illustrations, visual abstracts, and image-generation prompts without relying on external image-generation APIs.

Generate a structured paper outline from review conclusions and experiment results. Use when user says "写大纲", "paper outline", "plan the paper", "论文规划", or wants to create a paper plan before writing.

Convert a paper or research project into a conference poster layout, section text, figure placement plan, captions, and presenter pitch without requiring LaTeX/PPT compilation.

Convert a paper, abstract, or research project into a conference-talk slide outline, speaker notes, and talk script without requiring Beamer/PPT compilation.

Draft LaTeX paper section by section from an outline. Use when user says "写论文", "write paper", "draft LaTeX", "开始写", or wants to generate LaTeX content from a paper plan.

Simulate a patent examiner-style review of claims, specification, embodiments, figures, and prior-art risks without relying on local coding-assistant integration or local patent files.

快速学术检索与文献来源检索。Use when user says "检索文献", "文献检索", "查文献", "找文献", "检索论文", "找论文", "搜论文", "相关工作", "相关文献", "文献来源", "论文来源", "参考文献来源", "给这个说法找文献", "给这个结论找来源", "这篇文章讲了什么", "查参数", "查比热", "查热导率", "查密度", "物性参数", "检索物性", "材料参数来源", "比热需要多方文献来源", "需要文献确定数值", or wants quick academic paper search, source tracing, related work mapping, paper summary with traceable citations, or specific material property values with literature sources. 注意：如果用户说"深入研究"、"深入核查"、"深入核实"、"深入检索"、"深度调研"、"deep research"，请改用 deep-research skill skill。本 skill 只做快速检索，不做对抗审阅。

Workflow 4: Submission rebuttal pipeline. Parses external reviews, enforces coverage and grounding, drafts a safe text-only rebuttal under venue limits, and manages follow-up rounds. Use when user says "rebuttal", "reply to reviewers", "ICML rebuttal", "OpenReview response", or wants to answer external reviews safely.

Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers.

Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when the user says "refine my approach", "帮我细化方案", "decompose this problem", "打磨idea", "refine research plan", "细化研究方案", or wants a concrete research method that stays simple, focused, and top-venue ready instead of a vague or overbuilt idea.

Critically review a research idea, paper draft, experiment plan, or results from the perspective of senior academic reviewers without relying on local coding-assistant integration or external agent loops.

Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. local coding-assistant integration evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.

Write the full patent specification from claims and invention disclosure. Use when user says "撰写说明书", "write specification", "写说明书", "patent description", or wants to draft the complete patent specification.

Paragraph-level structural blueprint for 10-12 page systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides page allocation, paragraph templates, and writing patterns. Use when user says "写系统论文", "systems paper structure", "OSDI paper", "SOSP paper", or wants fine-grained structural guidance for a systems conference submission.