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Explain a phone-first GitHub workflow using Issues as canonical task state, Projects as the operator view, GitHub Mobile as the control surface, and chat as the fast signal path. Use when the user asks how GitHub should work from a phone or lightweight operator surface.
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 | github-mobile-ops |
| description | Explain a phone-first GitHub workflow using Issues as canonical task state, Projects as the operator view, GitHub Mobile as the control surface, and chat as the fast signal path. Use when the user asks how GitHub should work from a phone or lightweight operator surface. |
Map GitHub’s mobile surfaces into a clean operator model so the user can control work from a phone without pretending the phone is a full development environment.
Issue is canonical task truth, Project is the workflow board, GitHub Mobile is the phone control surface, and chat is the fast signal path. Build the advice around that split instead of mixing responsibilities./Users/nick/.codex/skills/github-mobile-ops/references/mobile-control-surface.md.Status, Priority, Owner, Next action, Blocked, and Due date.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.