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Kb Yt Channel

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pedronauck
kb-yt-channel

Create and maintain Karpathy KB topics from YouTube channels through scaffolding, bulk transcript ingestion, validation, and indexing. Excludes single videos, general summaries, and other sources.

Overview

Publisherpedronauck
Repositoryskills
Skill namekb-yt-channel
Stars
635
Forks
89
Bundled files
4
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.

  • 4 bundled files

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

  • Open source

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

Installation

Install the Kb Yt Channel 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/pedronauck/skills/tree/main/skills/mine/kb-yt-channel
  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/pedronauck/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/mine/kb-yt-channel .claude/skills/kb-yt-channel
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kb Yt Channel 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 Kb Yt Channel 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 Kb Yt Channel 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.

KB YouTube Channel

Use the native kb ingest channel for channel resolution, transcripts, dedup/resume, retries, and pacing. The bundled scripts/ingest-channel.py adds topic organization under yt-channels/, metadata, indexes, validation, and a run report.

  1. Resolve the vault, channel/playlist URL, topic slug/title/domain, video selection (--limit N or --all), and transcript policy (captions, auto, or stt) from the request. Ask only for choices that cannot reasonably be inferred.
  2. Check required tools once, reusing current evidence: kb, yt-dlp, qmd when indexing, and ffmpeg plus the configured provider when STT is requested. Do not install optional networking dependencies as a default preflight.
  3. Run python3 <kb-yt-channel-dir>/scripts/ingest-channel.py with --vault, --channel-url, --topic-slug, --title, --domain, selection, and --transcribe. Resolve the helper from this skill directory. Native-language captions are the default; override --sub-langs only when needed. --no-index defers indexing; --embed requests embeddings.
  4. A preview is optional. The existing --dry-run creates/updates the topic skeleton and metadata, then lists the ingest plan without transcripts; it is not a read-only preview. Use it only within authorized topic creation/update. Do not require preview followed by a repeated full preflight.
  5. Inspect the helper's JSON summary and failures. Reuse its completed topic-info/lint/index validation; run additional checks only for missing evidence. When searchability is part of the task, verify one representative kb search in the topic/collection after indexing.
  6. Report actual ingested/skipped/failed counts and the report path. Compile wiki articles only if the task includes synthesis; transcript ingestion alone does not imply compilation.

Failures and references

Start with the existing network configuration and native bounded retries/backoff. On rate limits, honor server guidance, lower concurrency, or increase pacing. Configure authenticated cookies or a permitted proxy only when an observed access/network problem requires it; never expose credentials or mandate a residential proxy for large channels.

Read references/channel-topic-contract.md for metadata/output details and references/troubleshooting.md for an actual failure. Resume the same request after repair; native dedup preserves successful ingests. Missing captions can justify auto/STT if that scope and provider cost are authorized. Preserve partial outputs; use the supported refresh path for a specific transcript rather than deleting user data by default.

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 Kb Yt Channel AI skill do?

Create and maintain Karpathy KB topics from YouTube channels through scaffolding, bulk transcript ingestion, validation, and indexing. Excludes single videos, general summaries, and other sources.

Why use Kb Yt Channel on TypingMind?

Because you install it once and use it with any model. Kb Yt Channel 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 Kb Yt Channel in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/pedronauck/skills/tree/main/skills/mine/kb-yt-channel. 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 Kb Yt Channel?

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 Kb Yt Channel?

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

Is the Kb Yt Channel AI skill free?

It is published on GitHub by pedronauck. Check the repository for licensing terms. 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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