Skip to main content
ClaudeWave
EN, English
Skill6.3k repo starsupdated 2mo ago

youtube-transcript

The youtube-transcript skill extracts timestamped transcripts from YouTube videos and reformats the content into summaries, chapter outlines, Twitter threads, blog posts, or notable quotes. Use it when processing YouTube URLs or when users request transcript extraction, video summarization, content conversion to text formats, or restructuring video content into specific output types like articles or social media threads.

Install in Claude Code
Copy
git clone --depth 1 https://github.com/browser-act/skills /tmp/youtube-transcript && cp -r /tmp/youtube-transcript/solutions/video-platforms/youtube-transcript ~/.claude/skills/youtube-transcript
Then start a new Claude Code session; the skill loads automatically.

SKILL.md

# YouTube — Transcript Extraction & Content Reformatting

> YouTube video URL → timestamped transcript → summary / chapters / thread / blog / quotes

## Language

All process output to user (progress updates, process notifications) follows the user's language.

## Objective

Extract the full transcript from a YouTube video's built-in transcript panel, then transform it into the output format the user requests.

## Prerequisites

- Target YouTube video page is already open in the browser: `https://www.youtube.com/watch?v={VIDEO_ID}`

## Pre-execution Checks

### 1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

## Capability Components

> This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `eval "$(python scripts/xxx.py)"`. Use the bash tool for execution.

### DOM: Check transcript availability and list languages

`eval "$(python scripts/get-languages.py)"`

No parameters. Reads `ytInitialPlayerResponse` from the current page.

Output example:
```json
{
  "available_languages": [
    {"code": "en", "name": "English", "kind": "manual", "is_auto": false},
    {"code": "en", "name": "English (auto-generated)", "kind": "asr", "is_auto": true}
  ],
  "count": 2
}
```

Returns `{"error": true, "message": "..."}` when transcripts are disabled or page is not a YouTube video.

### DOM: Open transcript panel

`eval "$(python scripts/open-transcript-panel.py)"`

No parameters. Clicks the "Show transcript" button below the video (handles multiple UI language variants automatically for robustness).

Must call `wait stable` after this to allow the panel to fully load.

Output example:
```json
{"success": true, "label": "内容转文字"}
```

### DOM: Extract all transcript segments

`eval "$(python scripts/extract-transcript-segments.py)"`

No parameters. Scrolls the open transcript panel to trigger lazy loading for long videos, then extracts all segments.

Output example:
```json
{
  "segment_count": 24,
  "segments": [
    {"ts": "0:18", "text": "We're no strangers to love"},
    {"ts": "0:27", "text": "You know the rules and so do I"}
  ],
  "full_text": "We're no strangers to love You know the rules...",
  "timestamped_text": "0:18 We're no strangers to love\n0:27 You know the rules..."
}
```

### Composite: Full transcript fetch workflow

1. `navigate https://www.youtube.com/watch?v={VIDEO_ID}` → `wait stable`
2. `eval "$(python scripts/get-languages.py)"` — confirm transcripts are available; note the language list
3. `eval "$(python scripts/open-transcript-panel.py)"` — open the panel
4. `wait stable` — wait for panel content to load
5. `eval "$(python scripts/extract-transcript-segments.py)"` — extract all segments

Use `timestamped_text` from the output as input for the Transform step below.

## Transform: Content Reformatting

After fetching the transcript, transform it based on what the user requests. If the user did not specify a format, default to the **Full Document** — output all five sections in order.

- **Summary**: Concise 5–10 sentence overview of the entire video
- **Chapters**: Group by topic shifts, output timestamped chapter list
- **Thread**: Twitter/X thread format — numbered posts, each under 280 characters
- **Blog post**: Full article with title, H2 sections per major topic, key quotes, and takeaways
- **Quotes**: Notable quotes with their timestamps

**Default Full Document output order** (when no specific format is requested):
1. Summary
2. Chapters
3. Thread
4. Blog Post
5. Quotes

### Workflow

1. Fetch transcript using the Composite component above.
2. **Validate**: confirm `segment_count >= 1`. If empty, tell the user the video has transcripts disabled.
3. **Chunk if needed**: if `full_text` exceeds ~50,000 characters, split `timestamped_text` into overlapping chunks (~40K characters with 2K overlap) and summarize each chunk before merging.
4. **Transform** into the requested format(s) using the `timestamped_text` field. If no format specified, produce all five sections.
5. **Verify**: re-read the output for coherence, correct timestamps (if chapters), and completeness before presenting.

### Example — Chapters Output

```
0:00 Introduction — host opens with the problem statement
3:45 Background — prior work and why existing solutions fall short
12:20 Core method — walkthrough of the proposed approach
24:10 Results — benchmark comparisons and key takeaways
31:55 Q&A — audience questions on scalability and next steps
```

### Example — Thread Output

```
1/ Just watched an incredible video on [topic]. Key takeaways 🧵

2/ First insight: [point]. This matters because [reason].

3/ The surprising part: [finding]. Most assume [belief], but this shows otherwise.

4/ Practical takeaway: [action].

5/ Full video: [URL]
```

## Error Handling

- **Transcripts disabled**: `get-languages.py` returns error; tell user and suggest checking if captions are available on the video page
- **Private/unavailable video**: page will not load correctly; relay the error and ask user to verify the URL
- **Transcript button not found**: usually means the user is not on a video page, or the page hasn't finished loading; navigate to the URL and retry
- **No segments after panel opens**: retry `open-transcript-panel.py` + `wait stable` + `extract-transcript-segments.py` once

## Known Limitations

- Language selection: the transcript panel shows the language YouTube defaults to for the user's region. Switching to a specific language requires changing the caption language in the player's CC settings first; automatic language switching is not implemented.
- Auto-generated transcripts (ki
1688-product-detailSkill

Extracts comprehensive wholesale product data from 1688.com product detail pages: title, tiered pricing, SKU variants with dimensions/weight, product images, seller info, shop scores, buyer protection, cross-border flags, product attributes, coupon/promotion data, and review stats. Use when user mentions 1688, 1688.com, wholesale China, alibaba wholesale, B2B China sourcing, Chinese wholesale scraper, 1688 product scrape, 1688 offer, 1688 detail, extract 1688 data, pull 1688 listings, get wholesale price, 1688 supplier info, factory stats 1688, 1688 SKU variants, 1688 product attributes, 1688 shop score, DSR score 1688, 1688 buyer protection, 1688 cross-border, 1688 dropship. Also applies to: scraping bulk product data from 1688 by offer ID list, monitoring 1688 supplier metrics, extracting 1688 pricing tiers for resale analysis.

airbnb-listing-detailSkill

Fetches complete Airbnb listing details for a given numeric listing ID via the internal GraphQL API, returning title, room type, description, amenities, photos, coordinates, city, house rules, highlights, ratings, review count, bedroom configuration, and property overview. Use when user mentions Airbnb listing details, Airbnb property info, Airbnb room details, get Airbnb listing data, Airbnb amenities list, Airbnb house rules, Airbnb property description, Airbnb detail page scraper, Airbnb rooms detail, Airbnb property page data, Airbnb listing info, fetch Airbnb room details, pull Airbnb listing.

airbnb-search-listingSkill

Extracts Airbnb accommodation search results from a destination query via SSR-embedded data, returning listing ID, URL, name, coordinates, rating, price, photos, and badge info for each result, plus pagination cursors for multi-page retrieval. Use when user mentions Airbnb search results, Airbnb listings, vacation rental search, short-term rental listings, scrape Airbnb, get Airbnb data, find rentals on Airbnb, Airbnb destination search, Airbnb property list, Airbnb stays search, Airbnb accommodation results, pull Airbnb listings, collect Airbnb search data, Airbnb scraper, Airbnb search page extraction, Airbnb search by destination.

amazon-alexa-qaSkill

Amazon Alexa for Shopping Q&A automation: submits questions to Amazon's Alexa/Rufus AI shopping assistant and collects response text; supports optional keyword search context (navigate to search results page before asking for category-specific answers). Use when user mentions Amazon Alexa, Rufus, Amazon shopping assistant, Amazon AI chat, ask Amazon, Amazon Q&A, automate Alexa questions, Rufus chatbot, Amazon assistant automation, collect Alexa responses, bulk question submission to Amazon, keyword search context, category research. Also applies to extracting Amazon product recommendations from conversational AI, automating repeated queries to Amazon's AI shopping feature, collecting Alexa shopping responses at scale, or market research within a specific product category.

amazon-asin-lookup-api-skillSkill

This skill helps users extract structured product details from Amazon using a specific ASIN (Amazon Standard Identification Number). Use this skill when the user asks to get Amazon product details by ASIN, lookup Amazon product title and price using ASIN, extract Amazon product ratings and reviews count for a specific ASIN, check Amazon product availability and current price, get Amazon product description and features via ASIN, enrich product catalog with Amazon data using ASIN, monitor Amazon product price changes for specific ASINs, retrieve Amazon product brand and material information, fetch Amazon product images and specifications by ASIN, validate Amazon ASIN and get product metadata.

amazon-best-selling-products-finder-api-skillSkill

This skill helps users extract structured best-selling product data from Amazon via the BrowserAct API. Agent should proactively apply this skill when users express needs like search for best selling products on Amazon, extract Amazon product data based on keywords, find top rated Amazon products, monitor Amazon competitor prices and sales, discover trending products on Amazon marketplace, extract Amazon product titles prices and ratings, gather Amazon product sales volume for market research, search Amazon best sellers in specific region, collect Amazon product reviews and promotion details, analyze Amazon product availability and badges, get Amazon product data for market analysis.

amazon-bestseller-listingSkill

Amazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page — returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and pagination state (currentPage, hasNextPage, nextPageUrl). Works across all Amazon regional TLDs (amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, etc.). Use when user mentions Amazon Best Sellers, Amazon bestsellers, Amazon top 100, Amazon zgbs, Amazon /zgbs/, Amazon /gp/bestsellers/, Amazon Best Sellers Rank, Amazon BSR, Amazon top ranked products, Amazon top-selling products, Amazon chart, Amazon category ranking, Amazon best sellers by category, Amazon best sellers electronics, Amazon best sellers kitchen, Amazon best sellers toys, scrape Amazon bestsellers, extract Amazon top 100, Amazon rank scraper, Amazon best seller list, Amazon leaderboard, Amazon trending products, discover trending Amazon products, Amazon niche discovery, Amazon top ranked ASINs. Also applies to competitive intelligence via ranking snapshots, spotting up-and-coming products, sourcing bestseller ASINs for further enrichment, tracking rank changes over time, and building bestseller-per-category datasets.

amazon-buy-box-monitor-api-skillSkill

This skill helps users extract basic product details other sellers prices and seller ratings from Amazon via ASIN automatically using the BrowserAct API. Agent should proactively apply this skill when users express needs like query Amazon buy box information, monitor Amazon product prices, extract Amazon product details by ASIN, check other sellers prices on Amazon, get Amazon seller ratings and feedback count, monitor buy box ownership for a specific ASIN, track Amazon fulfillment methods for competitors, compare Amazon product prices across different sellers, retrieve Amazon buy box availability status, analyze Amazon seller profile details.