Agent skill

Tubeify

by davepoon in davepoon/buildwithclaude

Remove pauses, filler words (um, uh), and dead air from raw YouTube recordings via the Tubeify API.

MITAuto-check passed

Install Tubeify

skills CLI
$ npx skills add davepoon/buildwithclaude --skill tubeify -a claude-code

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

GitHub CLI
$ gh skill install davepoon/buildwithclaude tubeify --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/davepoon/buildwithclaude.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/all-skills/skills/tubeify .claude/skills/tubeify && 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
tubeify
GitHub stars
3.6k
Token cost
~594 tokens
SKILL.md length
145 words
Files
1
Skills in repo
246
Repo updated
First seen
Licence
MIT

At a glance

Remove pauses, filler words (um, uh), and dead air from raw YouTube recordings via the Tubeify API.

  • Works in 4 steps: Authenticate → Submit video for processing → Poll for completion → …
  • The user wants to edit a video
  • SKILL.md covers Workflow, Environment and Links
  • Calls curl; reaches tubeify.xyz

What it does

Tubeify is an agent skill from davepoon/buildwithclaude. Remove pauses, filler words (um, uh), and dead air from raw YouTube recordings via the Tubeify API. Use when the user wants to edit a video, clean up audio, trim silences, or polish a raw recording for YouTube.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with YouTube. The repository describes itself as: A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins, and Marketplace collections to extend Claude Code, Claude Desktop, Agent SDK and OpenClaw. The licence is MIT.

When your agent uses it

  • The user wants to edit a video
  • Polish a raw recording for YouTube

Example prompts

  • “/tubeify”

Workflow steps

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

  1. Authenticate
  2. Submit video for processing
  3. Poll for completion
  4. Download the result

What it can do on your machine

Read from SKILL.md and the folder at commit 616deb5. 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

    Shell commands in SKILL.md call:

    • curl

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • tubeify.xyz

    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

Tubeify loads about 594 tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 145 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~55
When it runs · the whole SKILL.md, loaded when a task matches
~594

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from davepoon/buildwithclaude at commit 616deb5, republished under its MIT licence (© davepoon). 145 words, ~594 tokens.

Download SKILL.mdSave it as .claude/skills/tubeify/SKILL.md (or your agent's skills folder).
name
tubeify
description
Remove pauses, filler words (um, uh), and dead air from raw YouTube recordings via the Tubeify API. Use when the user wants to edit a video, clean up audio, trim silences, or polish a raw recording for YouTube.
category
creative-collaboration

Tubeify

Submit a raw recording URL to the Tubeify API and get back a polished, trimmed video with pauses, filler words, and dead air removed automatically.

Workflow

1. Authenticate
bash
curl -c session.txt -X POST https://tubeify.xyz/index.php \
  -d "wallet=<WALLET_ADDRESS>"

Response on success:

json
{ "status": "ok", "session": "active" }

If the response contains "status": "error", check the wallet address and retry.

2. Submit video for processing
bash
curl -b session.txt -X POST https://tubeify.xyz/process.php \
  -d "video_url=<URL>" \
  -d "remove_pauses=true" \
  -d "remove_fillers=true"

Parameters:

  • video_url (required) — direct URL to the raw video file
  • remove_pauses — remove silent gaps and dead air (default: true)
  • remove_fillers — remove filler words like "um", "uh", "like" (default: true)

Response on success:

json
{ "status": "queued", "job_id": "abc123" }
3. Poll for completion
bash
curl -b session.txt https://tubeify.xyz/status.php

Poll every 15 seconds. Terminal states:

statusMeaningAction
queuedWaiting in queueKeep polling
processingActively editingKeep polling
completeFinished — download readyRead download_url from body
failedProcessing errorCheck error field, retry

Complete response example:

json
{ "status": "complete", "download_url": "https://tubeify.xyz/dl/abc123.mp4" }

Failed response example:

json
{ "status": "failed", "error": "Unsupported video format" }
4. Download the result
bash
curl -o edited_video.mp4 "<download_url>"

Environment

VariableDescription
TUBEIFY_WALLETEthereum wallet address for authentication

© davepoon, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/all-skills/skills/tubeify of davepoon/buildwithclaude.

Open the folder on GitHubat commit 616deb5

Compare with similar skills

Tubeify 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.

Tubeify compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tubeify this skilldavepoon/buildwithclaude3.6k—~594Automated safety check: PassMIT
MarkitdownImCa0/just-laws78214 repos~3.2kAutomated safety check: NotesMIT
Banner Design Systemnextlevelbuilder/ui-ux-pro-max-skill134k1 repos~1.8kAutomated safety check: PassMIT
Agent ReachPanniantong/Agent-Reach94k—~1.4kAutomated safety check: PassMIT
Last30daysmvanhorn/last30days-skill64k—~7.9kAutomated safety check: NotesMIT
Baoyu URL To Markdownsdyckjq-lab/llm-wiki-skill2.5k2 repos~3.2kAutomated safety check: PassNone

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Works with

Questions about Tubeify

What does Tubeify do?

Remove pauses, filler words (um, uh), and dead air from raw YouTube recordings via the Tubeify API. Tubeify is an agent skill from davepoon/buildwithclaude. Remove pauses, filler words (um, uh), and dead air from raw YouTube recordings via the Tubeify API.

When should I use Tubeify?

Tubeify fits situations like: the user wants to edit a video; polish a raw recording for YouTube.

How do I install Tubeify in Claude Code?

Run `npx skills add davepoon/buildwithclaude --skill tubeify -a claude-code`. Or copy the skill folder (plugins/all-skills/skills/tubeify in davepoon/buildwithclaude) into .claude/skills/tubeify in your project. Claude Code loads it when a task matches its description.

How do I install Tubeify in Codex?

Run `npx skills add davepoon/buildwithclaude --skill tubeify -a codex`. Or copy the skill folder (plugins/all-skills/skills/tubeify in davepoon/buildwithclaude) into .agents/skills/tubeify in your project. Codex loads it when a task matches its description.

Can I use Tubeify 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 davepoon/buildwithclaude --skill tubeify -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tubeify, .gemini/skills/tubeify, .github/skills/tubeify and .opencode/skills/tubeify in your project.

What does Tubeify need to run?

Going by SKILL.md and its folder, Tubeify needs the command-line tools its instructions call (curl).

Does Tubeify access the network?

SKILL.md names 1 domain. In commands or code: tubeify.xyz; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Tubeify 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. Review the folder before installing.

What licence does Tubeify use?

Tubeify is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tubeify use?

About 594 tokens (SKILL.md is roughly 2.4k 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 Tubeify?

Skills that share tags, products or a category with Tubeify: Markitdown (ImCa0/just-laws, 782 stars), Banner Design System (nextlevelbuilder/ui-ux-pro-max-skill, 134k stars), Agent Reach (Panniantong/Agent-Reach, 94k stars) and Last30days (mvanhorn/last30days-skill, 64k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tubeify?

davepoon (a GitHub user) maintains it in davepoon/buildwithclaude, which has 3,605 GitHub stars. The repository holds 246 skills in this directory. The repository was last updated on October 9, 2026.

Source: davepoon/buildwithclaude on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.