Agent skill

Channel To Kb

by coleam00 in coleam00/cole-medin-knowledge-base

Build an OKF (Open Knowledge Format) knowledge base from any YouTube channel.

No licenceAuto-check passedKnowledge Management

Install Channel To Kb

skills CLI
$ npx skills add coleam00/cole-medin-knowledge-base --skill channel-to-kb -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install coleam00/cole-medin-knowledge-base channel-to-kb --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/coleam00/cole-medin-knowledge-base.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/channel-to-kb .claude/skills/channel-to-kb && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
channel-to-kb
GitHub stars
137
Token cost
~808 tokens
SKILL.md length
365 words
Files
2 (incl. scripts)
Skills in repo
3
Repo updated
First seen
Licence
None found

At a glance

Build an OKF (Open Knowledge Format) knowledge base from any YouTube channel.

  • Works in 3 steps: Fetch transcripts → Build the OKF knowledge base → Validate OKF conformance
  • Tasks that involve Knowledge bases
  • SKILL.md covers Before you start, Step 1: Fetch transcripts, Step 2: Build the OKF… and Step 3: Validate OKF conformance
  • Runs Python scripts from its folder; calls python and uv

What it does

Channel To Kb is an agent skill from coleam00/cole-medin-knowledge-base. Build an OKF (Open Knowledge Format) knowledge base from any YouTube channel. Uses Google's OKF standard so any AI can read the output with zero setup. Free, no API key. Uses pytubefix + youtubetranscriptapi. Invoke with /channel-to-kb @ChannelHandle

Its SKILL.md is about 810 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/fetch_transcripts.py`).

It sits in Knowledge Management, covering Knowledge bases and Video and podcast notes. It works with YouTube. The repository describes itself as: An OKF (Open Knowledge Format) knowledge base + Karpathy-style LLM wiki synthesized from Cole Medin's entire long-form YouTube catalog. Drop it next to any project for…

When your agent uses it

  • Tasks that involve Knowledge bases
  • Tasks that involve Video and podcast notes

Example prompts

  • “/channel-to-kb”

Requirements

  • Python 3

Workflow steps

3 steps, taken from the step headings in SKILL.md.

  1. Fetch transcripts
  2. Build the OKF knowledge base
  3. Validate OKF conformance

What it can do on your machine

Read from SKILL.md and the folder at commit eba5e31. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python
    • uv

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Channel To Kb loads about 808 tokens when it runs. Until then it costs about 67 tokens; SKILL.md has 365 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~808

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 365 words (~808 tokens).

“Turn any YouTube channel into a synthesized, cross-linked knowledge base in Open Knowledge Format (OKF). OKF is Google's open standard for LLM-readable knowledge bases: plain markdown + YAML frontmatter, navigated by index and relative links, no database or embeddings required…”

— opening of SKILL.md by coleam00
name
channel-to-kb
argument-hint
<@ChannelHandle or channel-URL>

Read the full SKILL.md on GitHub

Files

SKILL.md and 1 other file (scripts) in .claude/skills/channel-to-kb of coleam00/cole-medin-knowledge-base.

  • SKILL.md
  • scripts/fetch_transcripts.py

Open the folder on GitHubat commit eba5e31

Compare with similar skills

Channel To Kb next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Channel To Kb compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Channel To Kb this skillcoleam00/cole-medin-knowledge-base137—~808Automated safety check: PassNone
Multi-Source to NotebookLM Processorjoeseesun/qiaomu-anything-to-notebooklm6.2k—~3.6kAutomated safety check: PassMIT
YouTube Transcript FetcherZeroPointRepo/youtube-skills1k1 repos~1.1kAutomated safety check: PassMIT
Subscription Videos MetadataEfficientStreet/youtube-subscriptions-ingest180—~7.1kAutomated safety check: NotesMIT
YouTube Video TranscriptZeroPointRepo/youtube-skills1k1 repos~1.1kAutomated safety check: PassMIT
Video Lens Gallerykar2phi/video-lens113—~608Automated safety check: NotesMIT

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  • YouTube Transcript Fetcher

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More from coleam00/cole-medin-knowledge-base

  • Channel To Kb Supadata

    coleam00/cole-medin-knowledge-base

    Build an OKF (Open Knowledge Format) knowledge base from any YouTube channel.

    137 GitHub stars~854 tokensUpdated 2 mo ago
    Auto-check passed
  • Channel To Kb Ytdlp

    coleam00/cole-medin-knowledge-base

    Build an OKF (Open Knowledge Format) knowledge base from any YouTube channel.

    137 GitHub stars~824 tokensUpdated 2 mo ago
    Auto-check passed

Works with

Questions about Channel To Kb

What does Channel To Kb do?

Build an OKF (Open Knowledge Format) knowledge base from any YouTube channel. Channel To Kb is an agent skill from coleam00/cole-medin-knowledge-base. Build an OKF (Open Knowledge Format) knowledge base from any YouTube channel.

When should I use Channel To Kb?

Channel To Kb fits situations like: tasks that involve Knowledge bases; tasks that involve Video and podcast notes.

How do I install Channel To Kb in Claude Code?

Run `npx skills add coleam00/cole-medin-knowledge-base --skill channel-to-kb -a claude-code`. Or copy the skill folder (.claude/skills/channel-to-kb in coleam00/cole-medin-knowledge-base) into .claude/skills/channel-to-kb in your project. Claude Code loads it when a task matches its description.

How do I install Channel To Kb in Codex?

Run `npx skills add coleam00/cole-medin-knowledge-base --skill channel-to-kb -a codex`. Or copy the skill folder (.claude/skills/channel-to-kb in coleam00/cole-medin-knowledge-base) into .agents/skills/channel-to-kb in your project. Codex loads it when a task matches its description.

Can I use Channel To Kb in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add coleam00/cole-medin-knowledge-base --skill channel-to-kb -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/channel-to-kb, .gemini/skills/channel-to-kb, .github/skills/channel-to-kb and .opencode/skills/channel-to-kb in your project.

What does Channel To Kb need to run?

Going by SKILL.md and its folder, Channel To Kb needs Python for the scripts in its folder and the command-line tools its instructions call (python and uv). Our summary lists: Python 3.

Does Channel To Kb access the network?

SKILL.md names 1 domain. As links in the text: github.com. This is read from the text; nothing was executed.

Is Channel To Kb safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Channel To Kb use?

No licence was found for Channel To Kb or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Channel To Kb use?

About 808 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Channel To Kb?

Skills that share tags, products or a category with Channel To Kb: Multi-Source to NotebookLM Processor (joeseesun/qiaomu-anything-to-notebooklm, 6.2k stars), YouTube Transcript Fetcher (ZeroPointRepo/youtube-skills, 1k stars), Subscription Videos Metadata (EfficientStreet/youtube-subscriptions-ingest, 180 stars) and YouTube Video Transcript (ZeroPointRepo/youtube-skills, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Channel To Kb?

coleam00 (a GitHub user) maintains it in coleam00/cole-medin-knowledge-base, which has 137 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on July 28, 2026.

Source: coleam00/cole-medin-knowledge-base on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.