az9713 YouTube, Web & File Content Analyzer
Analyze YouTube videos, web pages (blog posts, articles), or local files (TXT, HTML, PDF) using Google Gemini API via the yt_analyze.py CLI tool.
Script Location
The script and supporting files are co-located with this skill:
~/.claude/skills/yt-transcript-summary/
├── SKILL.md
└── scripts/
├── yt_analyze.py
├── my_prompt.txt
└── requirements.txt
Script dir: ~/.claude/skills/yt-transcript-summary/scripts/
How to Build the Command
Parse the user's request for these inputs:
| Input | How to pass it |
|---|---|
| YouTube URL | Positional argument: python yt_analyze.py "URL" |
| Web page URL (blog, article) | Positional argument: python yt_analyze.py "URL" (auto-detected as non-YouTube) |
| Local file path (txt, html, pdf) | --file "path/to/file.ext" |
| Custom prompt (inline text) | -p "prompt text" |
| Built-in preset | --builtin <preset> |
| Transcript mode | --transcript (optionally --speakers "Name1" "Name2") |
| Segment analysis (YouTube only) | --start MM:SS --end MM:SS |
| Custom output path | -o "output.md" |
URL and --file are mutually exclusive — the script enforces this.
Source Type Detection
The script automatically detects the source type:
- YouTube URL (youtube.com, youtu.be) → sends video directly to Gemini via
file_data - Web page URL (any other http/https URL) → fetches the page, extracts text (strips HTML), sends text to Gemini
- Local file (
--file) → reads the file based on extension:.txt,.md,.json,.csv, etc. → read as plain text.html,.htm→ parse HTML tags, extract text content.pdf→ extract text from all pages using pdfplumber
Multiple URLs
The user may provide multiple URLs in a single request, separated by commas, spaces, or newlines. They can be a mix of YouTube and web page URLs. For example:
/yt-transcript-summary https://youtube.com/watch?v=abc, https://example.com/blog-post, https://youtube.com/watch?v=def
When multiple URLs are detected:
- Parse all URLs from the input (split on commas, spaces, or newlines; filter to valid URLs).
- Process each URL sequentially — run a separate
python yt_analyze.py "URL" <shared-flags>command for each URL. All other flags (e.g.,-p,--builtin,--transcript) apply to every URL. - Report progress — after each URL completes, tell the user which source finished and its output file path before moving to the next.
- Summarize at the end — after all sources are processed, list all output file paths together.
Do not run multiple URLs in parallel — the Gemini API may rate-limit concurrent requests.
Prompt Resolution Order
- If the user says "transcript mode" or wants a transcript → use
--transcript - If the user names a built-in preset → use
--builtin <preset> - If the user provides an inline prompt → use
-p "their prompt" - Otherwise → omit prompt flags (the script defaults to reading
my_prompt.txt)
Available Built-in Presets
summary, summary-full, summarize-tests, takeaways, extract-code, extract-python, extract-notebook-code, extract-notebook-cells, extract-prompts, extract-system-prompts, extract-markdown, extract-markdown-contents, extract-source-and-markdown, extract-text, extract-commands, extract-terminal, extract-slides, extract-prompts-and-responses, extract-all, extract-task-instructions, extract-skills, extract-agentic-prompts, extract-claude-md, extract-prd, extract-workflow-md, extract-settings-json, extract-spec-md, extract-imagen-prompts, extract-veo-prompts, extract-music-prompts, extract-pipeline-yaml, extract-input-text, extract-tree-view, extract-workflow
Execution
Run the command via Bash from the user's current working directory (never cd into the script directory). Use the full path to the script:
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py <args>
The output .md file will be written to the user's current working directory. The script prints the output path to stderr. After execution, tell the user the output file path.
Important: Never output files to the skill's scripts directory. Always run from the user's cwd.
Examples
YouTube URL with default prompt:
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py "https://www.youtube.com/watch?v=abc123"
Web page (blog post, article):
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py "https://www.latent.space/p/turbopuffer"
Local HTML file:
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py --file "article.html"
Local PDF file:
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py --file "paper.pdf"
Local transcript file:
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py --file "/path/to/transcript.txt"
Custom inline prompt:
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py "https://www.youtube.com/watch?v=abc123" -p "Extract all code snippets"
Built-in preset:
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py "https://www.youtube.com/watch?v=abc123" --builtin takeaways
Transcript mode with speakers:
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py "https://www.youtube.com/watch?v=abc123" --transcript --speakers "Alice" "Bob"
Segment analysis:
python ~/.claude/skills/yt-transcript-summary/scripts/yt_analyze.py "https://www.youtube.com/watch?v=abc123" --start 01:30 --end 05:00 -p "Summarize this segment"
Prerequisites
GOOGLE_API_KEYmust be set (in.envor environment)- Python dependencies:
pip install -r requirements.txt(google-genai, python-dotenv, jinja2, requests, beautifulsoup4, pdfplumber)