transcriptapi▌
zeropointrepo/youtube-skills · updated Apr 8, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
Full YouTube data toolkit via TranscriptAPI.com. Transcripts, search, channels, playlists — one API key.
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 transcriptapiHow to use transcriptapi on Cursor
AI-first code editor with Composer
1Prerequisites
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
2Execute 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 transcriptapiThe skills CLI fetches transcriptapi from GitHub repository zeropointrepo/youtube-skills and configures it for Cursor.
3Select 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│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/transcriptapiReload 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.
Additional Resources
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.5★★★★★43 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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