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autoacad-prepare

Use when starting a paper project and needing to inventory local code, docs, datasets, constraints, and source materials before literature review or experiment planning.

Quellinformationen

Repository
zinknovo/autoacad
Letzte Quellaktivität
28. September 2026 um 12:23
Erkannte Sprache von SKILL.md
Englisch
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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
autoacad-prepare
description
Use when starting a paper project and needing to inventory local code, docs, datasets, constraints, and source materials before literature review or experiment planning.
# AutoAcad Prepare ## Overview Use this stage to establish the paper project's ground truth before any literature or experiment work. ## Workflow 1. Read the project docs first: abstract draft, experiment design notes, whole-paper concept notes, and any constraints file. 2. Inventory code, data, examples, and docs that the paper must describe faithfully. 3. Detect hardware constraints early. Record whether the project is CPU-only, CUDA, or Apple MPS. 4. Identify missing prerequisites: absent docs, missing dataset paths, missing template, or missing baseline implementations. 5. Initialize the canonical project tree with `../scripts/init_paper_project.py` if the project is not structured yet. 6. Write the first stage plan and the initial `PROGRESS.md` entry before moving on. 7. If the idea requires reference codebases, follow `../references/prepare-reference-selection.md` and record the resulting `reference_codebases`, `reference_paths`, and `reference_papers` in `PROGRESS.md`. ## Required Outputs - A concise source-of-truth inventory. - A list of blocked inputs and assumptions. - A confirmed project tree rooted at `<project>-paper/`. - A first-pass environment note in `PROGRESS.md`. - If applicable, `reference_codebases`, `reference_paths`, and `reference_papers` per `../references/prepare-reference-selection.md`.
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