メニュー
Build a Codex execution pack from a raw task or PRD: `AGENTS.md` plus `docs/PLAN.md`, `docs/STATUS.md`, `docs/TEST_PLAN.md`, and `docs/BACKLOG.md`, with optional prompt surfaces and a spec companion when the work is large enough to justify them.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | codex-execution-pack |
| description | Build a Codex execution pack from a raw task or PRD: `AGENTS.md` plus `docs/PLAN.md`, `docs/STATUS.md`, `docs/TEST_PLAN.md`, and `docs/BACKLOG.md`, with optional prompt surfaces and a spec companion when the work is large enough to justify them. |
Create a durable execution harness that survives long runs and resumptions by separating execution policy, plan, live status, validation, and backlog into explicit files.
$idea-validation or $spec-bundle first. If the pack is justified, scaffold it with /Users/nick/.codex/skills/codex-execution-pack/scripts/init_execution_pack.py. Use /Users/nick/.codex/skills/codex-execution-pack/references/pack-shape.md only when you need the exact file roles.AGENTS.md, docs/PLAN.md, docs/STATUS.md, docs/TEST_PLAN.md, and docs/BACKLOG.md, plus optional prompt surfaces or spec/ files when they reduce ambiguity. Keep one source of truth per concern.docs/STATUS.md must own live done/now/next state, and the pack must stay synchronized with any separate spec bundle instead of forking reality.Next skill options (only if needed): $spec-bundle — add deeper contracts or architecture artifacts; $justdoit — drive execution from the generated pack; $continuity-ledger — preserve durable state across long execution runs.Audit and improve a public GitHub repository's discoverability and any linked canonical site without confusing repository presentation with website SEO. Use for repository SEO, GitHub discoverability, topics/homepage/README optimization, GitHub Pages SEO, AEO, or agent-friendly public documentation.
Create, edit, analyze, or format spreadsheets (`.xlsx`, `.csv`, `.tsv`) with `openpyxl` and `pandas`, especially when formulas, references, and formatting must survive the change. Use when spreadsheet integrity matters more than ad hoc CSV hacking.
Analyze and reshape spreadsheet, CSV, or TSV data with `pandas` and stable output files. Use when the job is aggregation, filtering, joins, metrics, or tabular transformations rather than workbook-style editing.
Create or edit `.xlsx` workbooks while preserving formulas, references, formatting, and layout. Use when workbook integrity matters more than raw data analysis.
Produce a fast plain-text transcript with the bundled CLI using the light transcription model. Use when speaker diarization is not needed.
Produce a speaker-aware transcript with diarization and optional known-speaker hints using the bundled CLI. Use when the user explicitly needs speaker labels.