القائمة
Default execution-planning skill for almost any non-trivial repo task. Turn a raw task, feature request, PRD, or project brief into durable plan, status, and test-plan files, then hand back a concise ready-to-execute proposal.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | justdoit |
| description | Default execution-planning skill for almost any non-trivial repo task. Turn a raw task, feature request, PRD, or project brief into durable plan, status, and test-plan files, then hand back a concise ready-to-execute proposal. |
Turn messy task input into a durable execution pack that another Codex run can resume from without reconstructing scope, sequencing, or validation from chat.
docs/plans.md, docs/status.md, and docs/test-plan.md. Normalize scope, constraints, risks, validation commands, and assumptions before drafting./Users/nick/.codex/skills/justdoit/references/plan-template.md, /Users/nick/.codex/skills/justdoit/references/status-template.md, and /Users/nick/.codex/skills/justdoit/references/test-plan-template.md when you need the baseline structure. Keep milestones dependency-ordered and validation-first.Ready to execute handoff plus either a confirmation question or a clear note that execution is already starting.Next skill options (only if needed): $agx-orchestrator — dispatch bounded execution through AGX; $parallel-worktrees — split substantial work into isolated lanes; $continuity-ledger — preserve cross-session state when the run will be long; $adversarial-review — run a skeptical second pass after implementation.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.