Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add bestdeejay-design/agent-skills --skill presentation-engineeringgit clone --depth 1 https://github.com/bestdeejay-design/agent-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/bestdeejay-design/agent-skills/presentation-engineering)<a href="https://agentmods.dev/skills/bestdeejay-design/agent-skills/presentation-engineering"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/presentation-engineering/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/bestdeejay-design/agent-skills/presentation-engineering"><img src="https://agentmods.dev/badge/skills/bestdeejay-design/agent-skills/presentation-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00066 | $0.03893 |
| Opus 5.5 | $0.00026 | $0.01557 |
| Sonnet 5.5 | $0.00013 | $0.00779 |
| Haiku 4.5 | $0.00007 | $0.00389 |
Grade A, and why
presentation-engineering scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 435 lines — stays where its author put it; the contents beside it link to each section on GitHub.
🌍 Presentation Engineering
Философия
Презентация — это не документ. Это акт.
Мiro изменил мир не потому что у него были красивые слайды. Он изменил мир потому что у него была история, которую люди хотели рассказать дальше.
Этот скилл создаёт не презентации. Он создаёт моменты, после которых мир становится немного другим.
Три опоры мироизменяющей презентации
📖 OPORA 1: STORY ENGINE
Не «напиши текст». А «спроектируй историю».
Каждая презентация — это путешествие аудитории из точки A в точку B:
ГДЕ МЫ СЕЙЧАС → ПОЧЕМУ ЭТО ПРОБЛЕМА → КУДА МЫ ИДЁМ → КАК ТУДА ПОПАСТЬ → ЧТО ДЕЛАТЬ СЕЙЧАС
Шаг 1.1: Audience Archaeology
Не «для кого презентация». А «что держит эту аудиторию ночью».
## Карта аудитории
Полная карта аудитории (кто они / что болит / что хотят / что мешает) вынесена в [`references/audience-map.md`](references/audience-map.md) — заполните её на стадии STORY DESIGN.
### 🎨 OPORA 2: VISUAL LANGUAGE
**Не «примени токены». А «создай язык, на котором говорит эта презентация».**
#### Шаг 2.1: Design Soul
**7 слоёв визуальной идентичности презентации:**
-
COLOR — палитра, которая говорит └── Не «синий + белый». А «доверие + чистота + технологичность»
-
TYPOGRAPHY — иерархия, которая ведёт └── Не «заголовок 36pt». А « главная мысль = 48pt bold, подпись = 14pt light»
-
SPACING — ритм, который дышит └── Не «отступы 24px». А «воздух между идеями = время для осмысления»
-
SHAPE — форма, которая характеризует └── Не «скруглённые углы». А «мягкие формы = человечность, острые = точность»
-
DEPTH — слои, которые создают мир └── Не «тень». А «передний план = действие, фон = контекст»
-
COMPONENTS — элементы, которые повторяются └── Не «кнопки и карточки». А «согласованная система, которую мозг считывает мгновенно»
-
MOTION — движение, которое рассказывает └── Не «анимация появления». А «появление = рождение идеи, исчезновение = завершение мысли»
#### Шаг 2.1.1: Иконки — SVG из популярных наборов
**Никогда не используй emoji как иконки.** Вместо этого:
**Рекомендуемые наборы иконок:**
- **Lucide Icons** (https://lucide.dev/) — MIT, 1400+ иконок, line style
- **Heroicons** (https://heroicons.com/) — MIT, 300+ иконок, Tailwind стиль
- **Phosphor Icons** (https://phosphoricons.com/) — MIT, 9000+ иконок, 6 весов
- **Tabler Icons** (https://tabler.io/icons) — MIT, 5000+ иконок
**Формат: Inline SVG**
```html
<!-- ПРАВИЛЬНО: Inline SVG -->
<div class="icon">
<svg viewBox="0 0 24 24">
<path d="M3 3v18h18"/>
<path d="M18 17V9"/>
<path d="M13 17V5"/>
<path d="M8 17v-3"/>
</svg>
</div>
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed · +8 lines c30f523c8a40
- 2mo ago First seen · 427 lines · 66 tokens per session scan A aaf2417089f1
presentation-engineering is a skill published in the GitHub repository bestdeejay-design/agent-skills (5 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 3,893 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other skills, from other repositories
browser-use
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers hosted cloud browsers for AI agents: the browser-use Python library (Browser(usecloud=True)), Playwright, Puppeteer or any CDP client.
content-hash-cache-pattern
Cache expensive file processing results using SHA-256 content hashes — path-independent, auto-invalidating, with service layer separation.
composio
Route and complete Composio work across Composio For You and Composio Platform. Use when the user mentions Composio; wants an agent to use apps such as Gmail, Slack, GitHub, Notion, Calendar, or Linear; needs first-time setup, an SDK or MCP integration, CLI operation, migration guidance, current documentation, or help…
refit
Cross-session environment retrospective driven by OMC's own instrumentation — trace timelines, friction reports, logs, and plan notepads. Every finding lands on the surface that owns the fix (deterministic check, steering volume, tooling, or information access); nothing is written without user approval.
minimal-code-discipline
YAGNI-ladder coding discipline for writing changes — existence-first, reuse before writing, dependency ladder, shortest correct diff, with non-negotiables that must never be minimized away.
python-release
Handle Python SDK release, build, bump, packaging metadata, PyPI client pin, uv.lock, nox/build workflow, and publish verification changes. Use for Python release process work or dependency pin bumps; do not use for ordinary Python feature implementation.