Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/clearfunction/cf-devtoolsnpx agentmods add skills/clearfunction/cf-devtools/slidev-presentationsWrote 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/clearfunction/cf-devtools/slidev-presentations)<a href="https://agentmods.dev/skills/clearfunction/cf-devtools/slidev-presentations"><img src="https://agentmods.dev/badge/skills/clearfunction/cf-devtools/slidev-presentations/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/clearfunction/cf-devtools/slidev-presentations"><img src="https://agentmods.dev/badge/skills/clearfunction/cf-devtools/slidev-presentations.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 | $0.00053 | $0.02077 |
| Opus 5.5 | $0.00021 | $0.00831 |
| Sonnet 5.5 | $0.00011 | $0.00415 |
| Haiku 4.5 | $0.00005 | $0.00208 |
Grade A, and why
slidev-presentations 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.
This is a copy
94% identical to slidev-presentations — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slidev Presentations Skill
Generate professional, browser-based presentations using Slidev - the presentation framework for developers.
When to Use This Skill
Activate when the user requests:
- Creating presentation slides
- Technical talks or conference presentations
- Developer-focused slide decks
- Markdown-based presentations with code examples
- Interactive presentations with animations
Example Trigger Phrases
These prompts should activate this skill:
- "Create a presentation about Kubernetes architecture"
- "Make slides for my talk on TypeScript best practices"
- "Generate a Slidev deck explaining our API design"
- "Build a technical presentation for the team meeting"
- "I need slides for a conference talk on microservices"
- "Create a workshop presentation with code examples"
- "Make a deck covering React hooks for beginners"
- "Generate presentation slides about CI/CD pipelines"
NOT This Skill
Do NOT activate for:
- PowerPoint or Google Slides requests (different format)
- Simple document or README generation
- Non-presentation Markdown files
- Requests for presentation tips without actual slide creation
Recommended Workflow
Follow the plan-first approach for quality presentations:
1. Gather Context → 2. Create Plan → 3. Review Plan → 4. Generate Slides
Why Plan First?
- Plans capture audience, duration, and core message
- Review checkpoint before investing in slide generation
- Plans become presenter notes and Q&A preparation
- Easier to iterate on structure than on finished slides
Workflow Options
| Scenario | Command | Output |
|---|---|---|
| New presentation on a topic | /slidev:plan [topic] then /slidev:from-plan |
Plan + Slides |
| Presentation about a codebase | /slidev:from-codebase [path] |
Plan + Slides |
| Quick slides (skip planning) | /slidev:new [topic] |
Slides only |
| Generate from existing plan | /slidev:from-plan [plan-file] |
Slides only |
What ships with it
8 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.
- assets/example-team-update.md 3.2 KB
- assets/example-technical-talk.md 4.3 KB
- assets/example-tutorial.md 7.0 KB
- references/advanced-features.md 4.7 KB
- references/layouts-guide.md 5.1 KB
- references/multi-file-organization.md 3.4 KB
- references/slidev-quick-reference.md 15 KB
- references/themes.md 2.8 KB
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 First seen · 333 lines · 0 tokens per session scan A c7244b685d27
slidev-presentations is a skill published in the GitHub repository clearfunction/cf-devtools (5 stars, last pushed 9mo ago), licensed Apache-2.0. It adds 53 tokens to every session and 2,077 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 94% identical to slidev-presentations, differing in 7 lines, and is treated as a copy.
Other skills, from other repositories
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…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
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.
component-fixtures
Use when creating or updating component fixtures for screenshot testing or their shared infrastructure, or when designing UI components to be fixture-friendly. Covers fixture file structure, theming, service setup, CSS scoping, async rendering, validation, and common pitfalls.