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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.

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zinknovo/autoacad
Dernière activité de la source
28 septembre 2026 à 12:23
Langue détectée de SKILL.md
anglais
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SKILL.md
Instructions source · Aperçu en lecture seule
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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