菜单
Create a self-contained HTML explainer for systems, workflows, diagrams, timelines, comparisons, or data-heavy summaries when plain terminal text would be painful to read. Use when the output naturally wants a visual artifact instead of chat prose.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
| name | visual-explainer |
| description | Create a self-contained HTML explainer for systems, workflows, diagrams, timelines, comparisons, or data-heavy summaries when plain terminal text would be painful to read. Use when the output naturally wants a visual artifact instead of chat prose. |
Show structure visually through a single portable HTML artifact so complex systems, tables, and flows become readable at a glance instead of buried in chat.
/Users/nick/.codex/skills/visual-explainer/references/routing.md if you need help selecting between architecture, timeline, comparison, table, or other visual forms./Users/nick/.codex/skills/visual-explainer/assets/templates when they help, and validate against /Users/nick/.codex/skills/visual-explainer/references/style-rules.md and /Users/nick/.codex/skills/visual-explainer/references/quality-checks.md before delivery..html file unless the user explicitly asked for a multi-file artifact.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.