my-codex-skills

align a research paper with its codebase by scanning the repo, locating configs and training scripts, mapping paper modules to code modules, and auditing implementation or reproduction gaps. use when the user wants 结合代码读论文, 论文代码对齐, implementation verification, repo scanning, or reproducibility analysis.

deconstruct a research paper into reusable components, generate component cards and dependency graphs, explain one component in depth, and produce a full structured obsidian-friendly paper breakdown. use when the user wants 论文组件化解构, 单组件精讲, 全文结构化拆解, componentization, block-library extraction, or reverse-engineering of author choices.

audit a paper like a strong reviewer with claim-evidence-falsify tables, stepwise red-teaming, and comparison against field consensus or active controversy. use when the user wants 强批判审稿报告, 分步红队, 共识与争议对比, rigorous criticism, reviewer-style questions, or evidence-disciplined paper auditing.

turn a paper or repo into a practical research extension plan with baseline reproduction, boundary tests, mechanism hypotheses, ablation priorities, improvement routes, milestones, and writing outline. use when the user wants 找边界, 思考可做的 idea, boundary testing, ablation planning, or to move from reading to concrete experiments.

read a survey paper by building a taxonomy, unified notation table, representative-method comparison, and math-first deep dives. use when the user wants 阅读综述, taxonomy extraction, 统一符号表, 代表方法对比, benchmark summaries, or a reusable survey study template.

generate, filter, and rank research ideas from a broad direction using a codex-native idea funnel modeled on the aris idea-discovery workflow. use when the user wants literature mapping, 8-12 candidate ideas, feasibility and novelty filtering, devil's-advocate review, optional pilot planning or pilot execution, and an idea_report-style output that preserves both recommended and eliminated ideas.