# Send revol-presentation-html-generator to your agent
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
## Fast path
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
## Suggested prompts
### New install
```text
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
```
### Upgrade existing
```text
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
```
## Machine-readable fields
```json
{
"schemaVersion": "1.0",
"item": {
"slug": "presentation-html-generator-skill",
"name": "revol-presentation-html-generator",
"source": "tencent",
"type": "skill",
"category": "内容创作",
"sourceUrl": "https://clawhub.ai/RevolGMPHL/presentation-html-generator-skill",
"canonicalUrl": "https://clawhub.ai/RevolGMPHL/presentation-html-generator-skill",
"targetPlatform": "OpenClaw"
},
"install": {
"downloadUrl": "/downloads/presentation-html-generator-skill",
"sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=presentation-html-generator-skill",
"sourcePlatform": "tencent",
"targetPlatform": "OpenClaw",
"packageFormat": "ZIP package",
"primaryDoc": "SKILL.md",
"includedAssets": [
"SKILL.md",
"assets/slide-template.html",
"references/matplotlib-guide.md",
"references/revealjs-fixes.md",
"references/prompt-template.md",
"references/article-template.md"
],
"downloadMode": "redirect",
"sourceHealth": {
"source": "tencent",
"slug": "presentation-html-generator-skill",
"status": "healthy",
"reason": "direct_download_ok",
"recommendedAction": "download",
"checkedAt": "2026-05-01T04:13:29.111Z",
"expiresAt": "2026-05-08T04:13:29.111Z",
"httpStatus": 200,
"finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=presentation-html-generator-skill",
"contentType": "application/zip",
"probeMethod": "head",
"details": {
"probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=presentation-html-generator-skill",
"contentDisposition": "attachment; filename=\"presentation-html-generator-skill-1.0.0.zip\"",
"redirectLocation": null,
"bodySnippet": null,
"slug": "presentation-html-generator-skill"
},
"scope": "item",
"summary": "Item download looks usable.",
"detail": "Yavira can redirect you to the upstream package for this item.",
"primaryActionLabel": "Download for OpenClaw",
"primaryActionHref": "/downloads/presentation-html-generator-skill"
},
"validation": {
"installChecklist": [
"Use the Yavira download entry.",
"Review SKILL.md after the package is downloaded.",
"Confirm the extracted package contains the expected setup assets."
],
"postInstallChecks": [
"Confirm the extracted package includes the expected docs or setup files.",
"Validate the skill or prompts are available in your target agent workspace.",
"Capture any manual follow-up steps the agent could not complete."
]
}
},
"links": {
"detailUrl": "https://openagent3.xyz/skills/presentation-html-generator-skill",
"downloadUrl": "https://openagent3.xyz/downloads/presentation-html-generator-skill",
"agentUrl": "https://openagent3.xyz/skills/presentation-html-generator-skill/agent",
"manifestUrl": "https://openagent3.xyz/skills/presentation-html-generator-skill/agent.json",
"briefUrl": "https://openagent3.xyz/skills/presentation-html-generator-skill/agent.md"
}
}
```
## Documentation
### Technical Presentation & Article Generator
Generate Reveal.js HTML presentations and Markdown technical deep-dive articles from complex technical projects or papers. All content in Chinese by default.
### Core Principles
Logic First: Establish overall architecture before diving into details. No fragmented info dumps.
Visualization Driven: Use diagrams (Mermaid, architecture charts) over plain text whenever possible.
Code-Theory Alignment: Every formula/diagram must map to concrete code implementation.
Deep Dive via "What-Why-How-Code": For each core component, follow the 5-step pattern: Concept → Motivation → Mechanism → Code → Comparison.
User Friendly: Leverage HTML/JS features for code highlighting, speaker notes, and interactivity.
### Step 1: Analyze Source Material
Read the project/paper thoroughly. Collect:
Model configs (yaml/json) for precise parameters
Core model code for architecture details and tensor shapes
Training code for loss design
Inference code for inference flow
README / paper for high-level overview
All technical details (parameter values, shapes, formulas) must come from source code, not guesswork.
### Step 2: Plan Content Structure
Organize slides into these modules:
Cover & Context — Title, pain points, one-line innovation summary
High-Level Architecture — System overview, data flow, module interactions
Core Component Deep Dives (~50%+ of slides) — Detailed breakdown per module
Training & Inference Pipelines (AI model/algorithm only) — See Step 4.5 below
Performance & Optimization — Experiments, speedup strategies, latency
Summary & Future Work — Contributions, open problems
### Step 3: Generate Single-File HTML
Produce a self-contained HTML file using Reveal.js via CDN. Must include:
MathJax/KaTeX for LaTeX formulas
highlight.js for code syntax highlighting
Mermaid.js for diagrams (with manual rendering fix)
Speaker notes (