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Audit and refine academic manuscripts for structure, terminology consistency, LaTeX hygiene, and high-signal grammar fixes. Use this skill for theses, papers, proposals, and technical reports when the task is manuscript writing rather than experiment execution.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
| name | academic-writing-quality-assessor |
| description | Audit and refine academic manuscripts for structure, terminology consistency, LaTeX hygiene, and high-signal grammar fixes. Use this skill for theses, papers, proposals, and technical reports when the task is manuscript writing rather than experiment execution. |
Use this skill when the user asks to:
Do not use this skill for slide drafting/refinement; use academic-presentation-crafter or academic-slide-refiner instead.
This skill owns manuscript quality assurance and writing-side consistency. It does not own domain experiment execution, paper search, or physical-design conclusions.
scripts/common/latex_writing_audit.py before large cleanup or when active-file boundaries are unclear.eda-context-accessor.references/writing-qa-playbook.md for the full manuscript QA checklist and review order.references/thesis-writing-onboarding.md when the task is dissertation/thesis assembly from proposal + papers.references/scripts/scripts__common__latex_writing_audit.py when you need exact behavior of the audit script or want to mirror/patch it.Creates and refines academic presentations from research papers. Use this skill for tasks involving the conversion of scientific or technical documents into slide decks for conferences, seminars, lectures, thesis defenses, or academic reviews. Supports beamer LaTeX (.tex), PowerPoint (.pptx), and Markdown output formats.
Execute delay-model validation gates against HPWL baselines. Use when evaluating model consistency, running Gate-0 contract checks, building Gate-1 bucketed scorecards, performing wirelength-aware correlation checks, or deciding readiness for active optimization.
Run a full EDA research chain from knowledge exploration and paper triage to idea debate, hypothesis experiment design, implementation, git versioning, validation, and retrospective. Use when the user requests an end-to-end EDA research workflow rather than a single isolated execution step.
Diagnose and implement backside-routing realization paths, including targeted reroute, local DEF/OpenDB patching, and OpenROAD-backed net-level rerouter bring-up, when theory predicts benefit but the current flow does not realize BM2/BM1 usage.
Audit whether the local BSPDN physical contract is coherent across paper assumptions, GT3 tech collateral, layer/via topology, and current flow policy before promotion or expensive attribution experiments.
Manage and standardize project conda environment usage as an auxiliary utility skill, including env discovery, package availability checks, explicit env selection, and reproducible `conda run -n ...` integration for scripts and workflows.