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HugoVeltorai
GitHub クリエイタープロフィール

HugoVeltorai

1 件の GitHub リポジトリにある 3 件の収集済み skills をリポジトリ単位で表示します。

収集済み skills
3
リポジトリ
1
更新
2026-05-23
リポジトリマップ

skills がある場所

収集済み skill 数が多いリポジトリを、このクリエイターカタログ内の比率と職業範囲とともに表示します。

リポジトリエクスプローラー

リポジトリと代表的な skills

exec-prose
作家・著者

Write and edit executive-level prose in the voice of a senior digital AI consultancy leader who advises C-suite and boards. Use this skill WHENEVER the user asks to write, draft, edit, refine, or generate any piece of professional prose, even if they do not name a style. Triggers include: emails, memos, strategy notes, LinkedIn posts, board papers, speeches, articles, client proposals, thought leadership, executive summaries, and any business writing where tone and authority matter. Enforces a strict style: lead with the point, measured professional voice, no em dashes, no punchy fragments, no rhetorical triplets, and a specific banned-words list. Consult this skill before producing business prose so the output reads like a senior leader wrote it rather than AI.

2026-05-23
executivepitchcrafter
作家・著者

Crafts C-level executive deliverables (1-page summaries, 8–10 page board readouts, LinkedIn articles, team briefs, speech outlines) using SCQA + Pyramid Principle + MECE. Delivers crisp, humane, architectural thought-leadership tone focused on AI operating models, humane enterprise strategy, and agentic experience orchestration. Strictly follows the supplied British essayistic prose style. Zero hype. Triggers on any request for executive communication, pitch, summary, deck, or keynote.

2026-05-23
tufte-viz
ソフトウェア開発者

Design, build, and critique data visualizations using Edward Tufte's principles. Use this skill WHENEVER the work involves a chart, graph, plot, dashboard, table, diagram, or any visual display of data, even if the user does not name Tufte or "data viz" explicitly. Triggers include: (1) Building a new chart, graph, plot, or figure (bar, line, scatter, time-series, small multiples, sparkline, etc.) (2) Designing or reviewing a dashboard, report, or slide with quantitative visuals (3) Critiquing or improving an existing visualization (4) Choosing between visualization approaches ("what's the best way to show this?") (5) Reducing chartjunk, improving the data-ink ratio, or fixing a misleading chart (6) Planning high-density displays, comparisons, or part-to-whole views Applies data-ink ratio, chartjunk elimination, graphical integrity, lie factor, small multiples, layering, sparklines, and analytical design. Consult before producing any chart so output is clear, honest, and high-density.

2026-05-23
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