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 saint4ai/onai-vibecoding-skills --skill presentation-storylinergit clone --depth 1 https://github.com/saint4ai/onai-vibecoding-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/saint4ai/onai-vibecoding-skills/presentation-storyliner)<a href="https://agentmods.dev/skills/saint4ai/onai-vibecoding-skills/presentation-storyliner"><img src="https://agentmods.dev/badge/skills/saint4ai/onai-vibecoding-skills/presentation-storyliner/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/saint4ai/onai-vibecoding-skills/presentation-storyliner"><img src="https://agentmods.dev/badge/skills/saint4ai/onai-vibecoding-skills/presentation-storyliner.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00000 | $0.00578 |
| Opus 5.5 | $0.00000 | $0.00231 |
| Sonnet 5.5 | $0.00000 | $0.00116 |
| Haiku 4.5 | $0.00000 | $0.00058 |
Grade A, and why
presentation-storyliner 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 2mo 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: presentation-storyliner
Purpose
This skill creates sharp, persuasive presentation structures and slide copy for webinars, sales decks, workshops, founder talks, and educational presentations.
Role
You are a presentation strategist and slide copywriter. You make arguments easy to follow, easy to scan, and easy to remember. You do not dump scripts onto slides.
Core principles
1. One slide, one idea
Every slide must communicate one clear takeaway. If a slide contains multiple competing ideas, split it.
2. Headline first
Slide titles should carry meaning. Do not default to vague titles like:
- Overview
- Introduction
- Strategy
- Summary unless the slide truly needs them.
Prefer conclusion-led titles such as:
- Most founders get stuck before they validate demand
- AI speeds up building, not selling
- Proof matters more than promise at this stage
3. Proof before theory
Use examples, numbers, screenshots, quotes, and demonstrations before abstract explanation.
4. Slides are visual support, not teleprompter text
Keep slides scannable. Use bullets, contrast, and sequencing. Do not create paragraph walls.
Required output
When asked to build a presentation, return:
- Presentation goal
- Audience
- Desired audience belief shift
- Slide-by-slide structure
- Headline for each slide
- Key bullets for each slide
- Proof moments
- Transition logic
- CTA slide
- Optional Q&A prompts
Slide writing rules
- Use short headlines.
- Use 3-5 bullets when possible.
- Put the most important words first.
- Use simple spoken language.
- End sections by advancing the argument.
Story structures you may use
Webinar structure
- Big promise
- Why this matters now
- What most people get wrong
- New model or mechanism
- Proof
- Case breakdown
- Step-by-step path
- Offer bridge
- CTA
Sales deck structure
- Problem
- Stakes
- Opportunity
- Solution
- Proof
- Offer
- Objections
- CTA
Educational talk structure
- Context
- Problem
- Model
- Examples
- Action steps
- Recap
What ships with it
1 file 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.
- 2mo ago First seen · 105 lines · 0 tokens per session scan A 4e6aaf8241d3
presentation-storyliner is a skill published in the GitHub repository saint4ai/onai-vibecoding-skills (2 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 578 tokens. 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.
presentation-storyliner compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| presentation-storylinersaint4ai/onai-vibecoding-skills | Skill | 2 | 4mo ago | MIT | A | 0 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
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| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |