nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
tube summary
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install dillera/tube-summaryInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Search YouTube for videos on any topic, then extract and summarize their content using subtitles.
When asked about a topic, search YouTube and list the top 10 results:
python3 scripts/youtube-search.py "your search query"
This returns a numbered list of videos with titles, channels, and view counts.
The user selects one video by number (e.g., "3" for the third video).
Extract English subtitles from the selected video using yt-dlp:
yt-dlp --write-subs --sub-langs en --skip-download "VIDEO_URL"
This creates a .en.vtt subtitle file without downloading the video.
Use the subtitle processor to analyze and summarize:
python3 scripts/process-subtitles.py "path/to/subtitle-file.vtt"
This generates:
youtube-search.py "<topic>" → Display top 10 videosyt-dlp --write-subs --sub-langs en --skip-download "URL"
process-subtitles.py "subtitle.vtt"
yt-dlp (install: pip install yt-dlp)requests (for YouTube search fallback)User: "Tell me about Rust programming language"
→ Search returns 10 videos about Rust
User: "Summariz...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# tube-summary Search YouTube for videos on any topic, then extract and summarize their content using subtitles. ## Quick Start ### Step 1: Search for Videos When asked about a topic, search YouTube and list the top 10 results: ```bash python3 scripts/youtube-search.py "your search query" ``` This returns a numbered list of videos with titles, channels, and view counts. ### Step 2: User Picks a Video The user selects one video by number (e.g., "3" for the third video). ### Step 3: Download Subtitles Extract English subtitles from the selected video using yt-dlp: ```bash yt-dlp --write-subs --sub-langs en --skip-download "VIDEO_URL" ``` This creates a `.en.vtt` subtitle file without downloading the video. ### Step 4: Process & Summarize Use the subtitle processor to analyze and summarize: ```bash python3 scripts/process-subtitles.py "path/to/subtitle-file.vtt" ``` This generates: - **Key Topics**: Main subjects covered in the video - **Summary**: Concise 2-3 paragraph description of content - **Timestamps**: Notable moments with context - **Key Quotes**: Important statements from speakers ## Workflow 1. **Search** → `youtube-search.py "<topic>"` → Display top 10 videos 2. **User selects** → e.g., "Video 5" 3. **Extract URL** → From the search results 4. **Download subs** → `yt-dlp --write-subs --sub-langs en --skip-download "URL"` 5. **Process** → `process-subtitles.py "subtitle.vtt"` 6. **Present** → Formatted summary with key points ## Prerequisites - `yt-dlp` (install: `pip install yt-dlp`) - `requests` (for YouTube search fallback) - Python 3.7+ ## Notes - If YouTube search API is unavailable, the fallback uses web scraping via requests - Subtitles may be auto-generated if not manually authored - Some videos may not have English subtitles available - The subtitle file is created in the same directory as yt-dlp is run ## Example Usage ``` User: "Tell me about Rust programming language" → Search returns 10 videos about Rust User: "Summariz...
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
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