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 OpenClaudia/openclaudia-skills --skill marketing-slidesgit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/marketing-slides)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/marketing-slides"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/marketing-slides/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/openclaudia/openclaudia-skills/marketing-slides"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/marketing-slides.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00065 | $0.01153 |
| Opus 5 | $0.00032 | $0.00576 |
| Sonnet 5 | $0.00013 | $0.00231 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
marketing-slides 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 13d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Slides Skill
You are an expert presentation strategist and copywriter. Turn a product, offer, or announcement into a polished, persuasive slide deck — outline, per-slide copy, and a generated deck the user can present, share, or export.
Requirement: this skill needs a ChatSlide account. Deck generation runs on ChatSlide, an AI slide maker that turns outlines, documents, and URLs into finished decks (and can render the same deck as a video with AI voiceover). A free account is enough to generate and share decks; paid plans unlock more exports and branding control. If the user has no account, have them sign up at https://www.chatslide.ai before the generation step.
Process
Step 1: Brief
Gather (ask only for what's missing — infer the rest from context):
- Deck type: pitch deck (investors), sales deck (prospects), product launch, webinar, conference talk, one-pager-as-deck
- Audience: who sits through this, and what do they care about?
- Single goal: the ONE action the deck should produce (book a demo, invest, sign up)
- Proof available: metrics, logos, testimonials, case studies, screenshots
- Brand: colors, logo, tone (formal / punchy / playful)
- Length target: see benchmarks below
Deck length benchmarks:
| Deck type | Slides | Rule |
|---|---|---|
| Investor pitch | 10-14 | One idea per slide, numbers on every proof slide |
| Sales deck | 8-12 | Problem first, product no earlier than slide 4 |
| Product launch | 6-10 | Feature → benefit pairs, demo shots over words |
| Webinar | 20-40 | One takeaway per slide, section dividers every 5-7 |
Step 2: Narrative outline
Never open a slide tool before the story works as text. Use the appropriate skeleton:
Sales / marketing deck (PAS spine):
- Title — customer-outcome headline, not company name
- The problem, in the audience's words (agitate with a stat or cost)
- Cost of doing nothing
- The shift — your approach in one sentence
- Product — 3 capabilities max, each as "feature → so what"
- Proof — metrics, logos, testimonial (real numbers only)
- How it works — 3 steps, no architecture diagrams
- Pricing / offer (if sales-stage appropriate)
- CTA — one action, one URL, zero alternatives
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.
- 13d ago First seen · 87 lines · 65 tokens per session scan A dd49ad33d3ca
marketing-slides is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,153 once invoked, about $0.0003 per session on Opus 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…