transcriptapi

zeropointrepo/youtube-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/zeropointrepo/youtube-skills --skill transcriptapi
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summary

Full YouTube data toolkit via TranscriptAPI.com. Transcripts, search, channels, playlists — one API key.

skill.md

TranscriptAPI

Full YouTube data toolkit via TranscriptAPI.com. Transcripts, search, channels, playlists — one API key.

Setup

If $TRANSCRIPT_API_KEY is not set, help the user create an account (100 free credits, no card):

Step 1 — Register: Ask user for their email.

node ./scripts/tapi-auth.js register --email USER_EMAIL

→ OTP sent to email. Ask user: "Check your email for a 6-digit verification code."

Step 2 — Verify: Once user provides the OTP:

node ./scripts/tapi-auth.js verify --token TOKEN_FROM_STEP_1 --otp CODE

API key saved to your shell profile and agent config. Ready to use.

Manual option: transcriptapi.com/signup → Dashboard → API Keys.

API Reference

Full OpenAPI spec: transcriptapi.com/openapi.json — consult this for the latest parameters and schemas.

Auth

All requests: -H "Authorization: Bearer $TRANSCRIPT_API_KEY"

Endpoints

Channel endpoints accept channel — an @handle, channel URL, or UC... ID. No need to resolve first. Playlist endpoints accept playlist — a playlist URL or ID.

GET /api/v2/youtube/transcript — 1 credit

curl -s "https://transcriptapi.com/api/v2/youtube/transcript\
?video_url=VIDEO_URL&format=text&include_timestamp=true&send_metadata=true" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY"
Param Required Default Validation
video_url yes YouTube URL or 11-char video ID
format no json json or text
include_timestamp no true true or false
send_metadata no false true or false

Accepts: https://youtube.com/watch?v=ID, https://youtu.be/ID, youtube.com/shorts/ID, or bare ID.

Response (format=json):

{
  "video_id": "dQw4w9WgXcQ",
  "language": "en",
  "transcript": [
    { "text": "We're no strangers...", "start": 18.0, "duration": 3.5 }
  ],
  "metadata": { "title": "...", "author_name": "...", "author_url": "..." }
}

GET /api/v2/youtube/search — 1 credit

curl -s "https://transcriptapi.com/api/v2/youtube/search?q=QUERY&type=video&limit=20" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY"
Param Required Default Validation
q yes 1-200 chars (trimmed)
type no video video or channel
limit no 20 1-50

Response (type=video):

{
  "results": [
    {
      "type": "video",
      "videoId": "dQw4w9WgXcQ",
      "title": "Rick Astley - Never Gonna Give You Up",
      "channelId": "UCuAXFkgsw1L7xaCfnd5JJOw",
      "channelTitle": "Rick Astley",
      "channelHandle": "@RickAstley",
      "channelVerified": true,
      "lengthText": "3:33",
      "viewCountText": "1.5B views",
      "publishedTimeText": "14 years ago",
      "hasCaptions": true,
      "thumbnails": [{ "url": "...", "width": 120, "height": 90 }]
    }
  ],
  "result_count": 20
}

Response (type=channel):

{
  "results": [
    {
      "type": "channel",
      "channelId": "UCuAXFkgsw1L7xaCfnd5JJOw",
      "title": "Rick Astley",
      "handle": "@RickAstley",
      "subscriberCount": "4.2M subscribers",
      "verified": true,
      "rssUrl": "https://www.youtube.com/feeds/videos.xml?channel_id=UC..."
    }
  ],
  "result_count": 5
}

GET /api/v2/youtube/channel/resolve — FREE (0 credits)

curl -s "https://transcriptapi.com/api/v2/youtube/channel/resolve?input=@TED" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY"
Param Required Validation
input yes 1-200 chars — @handle, URL, or UC... ID

Response:

{ "channel_id": "UCsT0YIqwnpJCM-mx7-gSA4Q", "resolved_from": "@TED" }

If input is already a valid UC[a-zA-Z0-9_-]{22} ID, returns immediately without lookup.

GET /api/v2/youtube/channel/videos — 1 credit/page

# First page (100 videos)
curl -s "https://transcriptapi.com/api/v2/youtube/channel/videos?channel=@NASA" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY"

# Next pages
curl -s "https://transcriptapi.com/api/v2/youtube/channel/videos?continuation=TOKEN" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY"
Param Required Validation
channel conditional @handle, channel URL, or UC... ID
continuation conditional non-empty string (next pages)

Provide exactly one of channel or continuation.

Response:

{
  "results": [{
    "videoId": "abc123xyz00",
    "title": "Latest Video",
    "channelId": "UCsT0YIqwnpJCM-mx7-gSA4Q",
    "channelTitle": "TED",
    "channelHandle": "@TED",
    "lengthText": "15:22",
    "viewCountText": "3.2M views",
    "thumbnails": [...],
    "index": "0"
  }],
  "playlist_info": {"title": "Uploads from TED", "numVideos": "5000"},
  "continuation_token": "4qmFsgKlARIYVVV1...",
  "has_more": true
}

GET /api/v2/youtube/channel/latest — FREE (0 credits)

curl -s "https://transcriptapi.com/api/v2/youtube/channel/latest?channel=@TED" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY"
Param Required Validation
channel yes @handle, channel URL, or UC... ID

Returns last 15 videos via RSS with exact view counts and ISO timestamps.

Response:

{
  "channel": {
    "channelId": "...",
    "title": "TED",
    "author": "TED",
    "url": "..."
  },
  "results": [
    {
      "videoId": "abc123xyz00",
      "title": "Latest Video",
      "published": "2026-01-30T16:00:00Z",
      "viewCount": "2287630",
      "description": "Full description...",
      "thumbnail": { "url": "...", "width": "480", "height": "360" }
    }
  ],
  "result_count": 
how to use transcriptapi

How to use transcriptapi on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add transcriptapi
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/zeropointrepo/youtube-skills --skill transcriptapi

The skills CLI fetches transcriptapi from GitHub repository zeropointrepo/youtube-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/transcriptapi

Reload or restart Cursor to activate transcriptapi. Access the skill through slash commands (e.g., /transcriptapi) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.543 reviews
  • Dhruvi Jain· Dec 20, 2024

    We added transcriptapi from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Liam Mensah· Dec 16, 2024

    transcriptapi fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Li Park· Dec 4, 2024

    transcriptapi reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Liam Abbas· Nov 23, 2024

    transcriptapi is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Oshnikdeep· Nov 11, 2024

    transcriptapi fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Kofi Abbas· Nov 7, 2024

    We added transcriptapi from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Xiao Yang· Nov 3, 2024

    Keeps context tight: transcriptapi is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Chen Anderson· Oct 26, 2024

    Solid pick for teams standardizing on skills: transcriptapi is focused, and the summary matches what you get after install.

  • Amina Robinson· Oct 22, 2024

    transcriptapi has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Kofi Farah· Oct 14, 2024

    Useful defaults in transcriptapi — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

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