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Transcriptapi

OrganizationPopular
ZeroPointRepo
transcriptapi

Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only research.

Overview

PublisherZeroPointRepo
Repositoryyoutube-skills
Skill nametranscriptapi
Stars
1K
Forks
111
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ZeroPointRepo on GitHub. Read the source before you install it.

Installation

Install the Transcriptapi AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ZeroPointRepo/youtube-skills/tree/main/clawhub/transcriptapi
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ZeroPointRepo/youtube-skills.git /tmp/youtube-skills
mkdir -p .claude/skills
cp -r /tmp/youtube-skills/clawhub/transcriptapi .claude/skills/transcriptapi
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Transcriptapi in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Transcriptapi on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Transcriptapi is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

TranscriptAPI

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

Setup

If $TRANSCRIPT_API_KEY is not set, read references/auth-setup.md and follow the instructions there to get and store the key.

Required Headers

Every request needs two headers:

  • Authorization: Bearer $TRANSCRIPT_API_KEY
  • User-Agent: your agent's name and version if known (e.g. HermesAgent/0.11.0, ClaudeCode/1.0). Version is optional — agent name alone is fine. Do not omit this header or send a bare default — Cloudflare will return a 403 (error code 1010) and block the request.

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

bash
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" \
  -H "User-Agent: YourAgent/1.0"
ParamRequiredDefaultValidation
video_urlyes—YouTube URL or 11-char video ID
formatnojsonjson or text
include_timestampnotruetrue or false
send_metadatanofalsetrue or false

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

Response (format=json):

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

bash
curl -s "https://transcriptapi.com/api/v2/youtube/search?q=QUERY&type=video&limit=20" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
  -H "User-Agent: YourAgent/1.0"
ParamRequiredDefaultValidation
qyes—1-200 chars (trimmed)
typenovideovideo or channel
limitno201-50

Response (type=video):

json
{
  "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):

json
{
  "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)

bash
curl -s "https://transcriptapi.com/api/v2/youtube/channel/resolve?input=@TED" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
  -H "User-Agent: YourAgent/1.0"
ParamRequiredValidation
inputyes1-200 chars — @handle, URL, or UC... ID

Response:

json
{ "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

bash
# First page (100 videos)
curl -s "https://transcriptapi.com/api/v2/youtube/channel/videos?channel=@NASA" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
  -H "User-Agent: YourAgent/1.0"

# Most-viewed first (channel Videos tab, ~30 videos)
curl -s "https://transcriptapi.com/api/v2/youtube/channel/videos?channel=@NASA&sort=popular" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
  -H "User-Agent: YourAgent/1.0"

# Next pages (repeat the same sort)
curl -s "https://transcriptapi.com/api/v2/youtube/channel/videos?continuation=TOKEN&sort=popular" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
  -H "User-Agent: YourAgent/1.0"
ParamRequiredValidation
channelconditional@handle, channel URL, or UC... ID
tabnovideos (default), shorts, or streams
sortnolatest, popular, or oldest (omit for the uploads feed)
continuationconditionalnon-empty string (next pages)

Provide exactly one of channel or continuation.

Sorting. Add sort=latest, popular, or oldest to channel/videos to get a channel's videos in the order you want, for example its most-popular uploads first. A sorted page returns about 30 videos (an unsorted page returns about 100), and every page costs the same 1 credit.

When paging, send the same sort on each request.

Every item carries members_only, true only when YouTube badges it "Members only", and those items have no viewCountText. Items from tab=streams carry lengthText and publishedTimeText (for example Streamed 2 years ago); tab=shorts returns null for both, because YouTube's Shorts grid publishes neither. On the channel-tab feeds (tab=videos with sort, tab=shorts, tab=streams) channelId, channelTitle, channelHandle and index are null.

Response:

json
{
  "results": [{
    "videoId": "abc123xyz00",
    "title": "Latest Video",
    "channelId": "UCsT0YIqwnpJCM-mx7-gSA4Q",
    "channelTitle": "TED",
    "channelHandle": "@TED",
    "lengthText": "15:22",
    "viewCountText": "3.2M views",
    "publishedTimeText": "2 years ago",
    "thumbnails": [...],
    "index": "0",
    "members_only": false
  }],
  "playlist_info": {"title": "Uploads from TED", "numVideos": "5000"},
  "continuation_token": "4qmFsgKlARIYVVV1...",
  "has_more": true
}

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

bash
curl -s "https://transcriptapi.com/api/v2/youtube/channel/latest?channel=@TED" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
  -H "User-Agent: YourAgent/1.0"
ParamRequiredValidation
channelyes@handle, channel URL, or UC... ID

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

Response:

json
{
  "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": 15
}

GET /api/v2/youtube/channel/search — 1 credit

bash
curl -s "https://transcriptapi.com/api/v2/youtube/channel/search\
?channel=@TED&q=climate+change&limit=30" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
  -H "User-Agent: YourAgent/1.0"
ParamRequiredValidation
channelyes@handle, channel URL, or UC... ID
qyes1-200 chars
limitno1-50 (default 30)

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

bash
# First page
curl -s "https://transcriptapi.com/api/v2/youtube/playlist/videos?playlist=PL_PLAYLIST_ID" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
  -H "User-Agent: YourAgent/1.0"

# Next pages
curl -s "https://transcriptapi.com/api/v2/youtube/playlist/videos?continuation=TOKEN" \
  -H "Authorization: Bearer $TRANSCRIPT_API_KEY" \
  -H "User-Agent: YourAgent/1.0"
ParamRequiredValidation
playlistconditionalPlaylist URL or ID (PL/UU/LL/FL/OL prefix)
continuationconditionalnon-empty string

Credit Costs

EndpointCost
transcript1
search1
channel/resolvefree
channel/search1
channel/videos1/page
channel/latestfree
playlist/videos1/page

Errors

CodeMeaningAction
401Bad API keyCheck key, re-run setup
402No creditsTop up at transcriptapi.com/billing
403/1010Cloudflare blockAdd or fix User-Agent header
404Not foundVideo/channel/playlist doesn't exist or no captions
408Timeout/retryableRetry once after 2s
422Validation errorCheck param format
429Rate limitedWait, respect Retry-After

Tips

  • When user shares YouTube URL with no instruction, fetch transcript and summarize key points.
  • Use channel/latest (free) to check for new uploads before fetching transcripts — pass @handle directly.
  • For research: search → pick videos → fetch transcripts.
  • Free tier: 100 credits, 300 req/min. Starter ($5/mo): 1,000 credits, 300 req/min.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Transcriptapi AI skill do?

Use when YouTube is or could be relevant — even if not mentioned: pasted video/channel/playlist links, video IDs, @handles, creator lookups, video summaries, quotes, translations, topic research, tutorials, talks, lectures, expert discussions, product reviews, how-to guides, new product announcements, or anything where video content is fresher or richer than text search. Covers transcripts, video/channel search, channel browsing, playlists, and within-channel search. Not for uploads, account management, or written-source-only research.

Why use Transcriptapi on TypingMind?

Because you install it once and use it with any model. Transcriptapi is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Transcriptapi in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZeroPointRepo/youtube-skills/tree/main/clawhub/transcriptapi. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Transcriptapi?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Transcriptapi?

As many as you like. As long as a model supports skills, you can use Transcriptapi with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Transcriptapi AI skill free?

Yes. It is published on GitHub by ZeroPointRepo under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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