show-markdown
Use when you need to display a considerable amount of markdown content, or the user asks to display markdown in a browser, preview markdown files, or render markdown with styling. Trigger on requests like "show this markdown", "preview markdown", "display markdown in browser", "open markdown in browser", or any task requiring visual markdown rendering.
What this skill does
# Show Markdown in Browser
Render markdown content in a browser using a clean, styled HTML page with CDN-based markdown parsing.
## When to Use
Use this skill when the user:
- Asks to display or preview markdown files in a browser
- Wants to see how markdown content looks when rendered
- Requests visual markdown rendering with proper styling
- Needs to quickly view markdown documentation
## How It Works
The skill uses:
- **marked.js**: Fast markdown parser loaded via CDN
- **HTML template**: Pre-styled template with clean CSS
- **Python script**: Generates HTML from markdown and opens it in the browser
## Usage
### Display a Markdown File
```bash
python scripts/display.py <path-to-markdown-file>
```
Example:
```bash
python scripts/display.py README.md
```
### Display Markdown with Custom Title
```bash
python scripts/display.py <path-to-markdown-file> --title "My Title"
```
Example:
```bash
python scripts/display.py README.md --title "Project Documentation"
```
### Display Markdown Content Directly
```bash
python scripts/display.py --content "# Hello\\n\\nThis is **bold** text"
```
Note: Use `\\n` for newlines when passing content via command line.
### Path Resolution
When invoking from Claude Code, use the `${CLAUDE_PLUGIN_ROOT}` variable:
```bash
python ${CLAUDE_PLUGIN_ROOT}/skills/show-markdown/scripts/display.py /path/to/file.md
```
## Workflow
1. Identify the markdown source (file path or content)
2. Run the display script with appropriate arguments
3. Script determines the page title:
- Explicit `--title` argument (highest priority)
- First `# heading` from markdown content
- Filename (without extension)
- "Markdown Preview" (default)
4. Script generates HTML with embedded markdown
5. HTML opens in default browser via `xdg-open`
6. Temp file is created in system temp directory
## Features
- Fast rendering via marked.js CDN
- Clean, GitHub-inspired styling
- Responsive design
- Code syntax highlighting
- Dark mode support (system preference)
- Temporary file generation (no cleanup needed)
- Smart title detection (explicit → heading → filename → default)
- **Mermaid diagram rendering** (flowcharts, sequence diagrams, Gantt charts, class diagrams, etc.)
- **Click-to-zoom** for mermaid diagrams (opens in modal)
## Technical Details
- **Markdown Parser**: marked.js (https://cdn.jsdelivr.net/npm/marked/marked.min.js)
- **Diagram Rendering**: mermaid.js (https://cdn.jsdelivr.net/npm/mermaid/dist/mermaid.min.js)
- **Syntax Highlighting**: highlight.js (https://cdnjs.cloudflare.com/ajax/libs/highlight.js/11.9.0/highlight.min.js)
- **Browser**: Opens via `xdg-open` (respects system default)
- **Temp Files**: Created using Python's `tempfile.mkstemp`
- **Character Encoding**: UTF-8
## Examples
### Show a README file
```bash
python scripts/display.py README.md
```
### Show a README file with custom title
```bash
python scripts/display.py README.md --title "My Project Documentation"
```
### Show documentation
```bash
python scripts/display.py docs/api.md
```
### Render inline markdown
```bash
python scripts/display.py --content "# Title\\n\\n- Item 1\\n- Item 2\\n\\nCode: `example`"
```
### Render inline markdown with custom title
```bash
python scripts/display.py --content "# Title\\n\\nContent" --title "My Custom Title"
```
## Mermaid Diagrams
The skill supports rendering mermaid diagrams inline. Use fenced code blocks with the `mermaid` language identifier:
````markdown
```mermaid
graph TD
A[Start] --> B{Decision}
B -->|Yes| C[Do something]
B -->|No| D[Do something else]
C --> E[End]
D --> E
```
````
Supported diagram types:
- Flowcharts (`graph TD`, `graph LR`, etc.)
- Sequence diagrams (`sequenceDiagram`)
- Class diagrams (`classDiagram`)
- State diagrams (`stateDiagram-v2`)
- Entity relationship diagrams (`erDiagram`)
- Gantt charts (`gantt`)
- Pie charts (`pie`)
- And more (see [Mermaid documentation](https://mermaid.js.org/))
**Click-to-zoom**: Click on any rendered diagram to open it in a larger modal view. Press Escape or click the backdrop to close.
## Notes
- The browser opens the rendered HTML immediately
- The temp file remains for the browser session
- No manual cleanup required - temp files are managed by the system
- Works best on Linux systems with `xdg-open` installed
- Mermaid diagrams automatically adapt to light/dark mode based on system preference
Related in Image & Video
watch
IncludedWatch a video (URL or local path). Downloads with yt-dlp, extracts auto-scaled frames with ffmpeg, pulls the transcript from captions (or Whisper API fallback), and hands the result to Claude so it can answer questions about what's in the video.
physical-ai-defect-image-generation
IncludedUse when the user wants to orchestrate defect image generation, run associated setup, or handle outputs on OSMO. The Day 0 path handles cold-start with USD-to-ROI, image-edit augmentation, and AnomalyGen to create initial PCBA datasets. The Day 1 path performs inference and labeling on real images. This skill helps with first-time asset setup, creation of finetuning checkpoints, and configuring deployment. Trigger keywords: defect image generation, dig workflow, dig pipeline, defect image detection workflow, aoi pipeline, aoi anomalygen, usd2roi anomalygen, day 0 pcba, day 1 pcba, day 1 real-photo alignment, day 1 manual roi, metal surface anomaly, glass defect, anomalygen finetune, setup_pcb, setup_metal, setup_glass, setup_pretrained, dig setup, dig datasets, dig pretrained checkpoint, dig image-edit endpoint.
accelint-react-best-practices
IncludedReact performance optimization and best practices. ALWAYS use this skill when working with any React code - writing components, hooks, JSX; refactoring; optimizing re-renders, memoization, state management; reviewing for performance; fixing hydration mismatches; debugging infinite re-renders, stale closures, input focus loss, animations restarting; preventing remounting; implementing transitions, lazy initialization, effect dependencies. Even simple React tasks benefit from these patterns. Covers React 19+ (useEffectEvent, Activity, ref props). Triggers - useEffect, useState, useMemo, useCallback, memo, inline components, nested components, components inside components, re-render, performance, hydration, SSR, Next.js, useDeferredValue, combined hooks.
elevenlabs-agents
IncludedBuild conversational AI voice agents with ElevenLabs Platform using React, JavaScript, React Native, or Swift SDKs. Configure agents, tools (client/server/MCP), RAG knowledge bases, multi-voice, and Scribe real-time STT. Use when: building voice chat interfaces, implementing AI phone agents with Twilio, configuring agent workflows or tools, adding RAG knowledge bases, testing with CLI "agents as code", or troubleshooting deprecated @11labs packages, Android audio cutoff, CSP violations, dynamic variables, or WebRTC config. Keywords: ElevenLabs Agents, ElevenLabs voice agents, AI voice agents, conversational AI, @elevenlabs/react, @elevenlabs/client, @elevenlabs/react-native, @elevenlabs/elevenlabs-js, @elevenlabs/agents-cli, elevenlabs SDK, voice AI, TTS, text-to-speech, ASR, speech recognition, turn-taking model, WebRTC voice, WebSocket voice, ElevenLabs conversation, agent system prompt, agent tools, agent knowledge base, RAG voice agents, multi-voice agents, pronunciation dictionary, voice speed control, elevenlabs scribe, @11labs deprecated, Android audio cutoff, CSP violation elevenlabs, dynamic variables elevenlabs, case-sensitive tool names, webhook authentication
humanizer
IncludedHumanize AI-generated text by detecting and removing patterns typical of LLM output. Rewrites text to sound natural, specific, and human. Uses 28 pattern detectors, 560+ AI vocabulary terms across 3 tiers, and statistical analysis (burstiness, type-token ratio, readability) for comprehensive detection. Use when asked to humanize text, de-AI writing, make content sound more natural/human, review writing for AI patterns, score text for AI detection, or improve AI-generated drafts. Covers content, language, style, communication, and filler categories.
generating-mermaid-diagrams
IncludedSalesforce architecture diagrams using Mermaid with ASCII fallback. Use this skill when generating text-based diagrams for Salesforce architecture, OAuth flows, ERDs, integration sequences, or Agentforce structure. TRIGGER when: user says "diagram", "visualize", "ERD", or asks for sequence diagrams, flowcharts, class diagrams, or architecture visualizations in Mermaid. DO NOT TRIGGER when: user wants PNG/SVG image output (use generating-visual-diagrams), or asks about non-Salesforce systems.