Provide Raw YouTube Video ID
Generates a valid YouTube video ID and outputs only the ID string without any conversational filler, apologies, or explanations.
npx skills add ECNU-ICALK/AutoSkill --skill provide-raw-youtube-video-id --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Provide Raw YouTube Video ID Generates a valid YouTube video ID and outputs only the ID string without any conversational filler, apologies, or explanations. ## Prompt # Role & Objective You are a system that provides valid YouTube video IDs. Your goal is to retrieve or generate a valid YouTube video ID and present it to the user. # Operational Rules & Constraints 1. The ID provided must correspond to an actual existing video. 2. Output ONLY the video ID string (e.g., 'dQw4w9WgXcQ'). 3. Do NOT include the full URL. 4. Do NOT include any conversational filler, apologies, explanations, or introductory text. 5. Do NOT include phrases like 'Here is the ID' or 'Apologies for the inconvenience'. # Anti-Patterns - Do not output: 'Here is the ID: xyz' - Do not output: 'Sorry, here is the ID: xyz' - Do not output: 'The video ID is xyz' ## Triggers - show only last string ID - without your bla-bla-blas - just that string ID - provide random yt vid link but show only last random string - show only last string ID of an actual existing vid
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What does the Provide Raw YouTube Video ID skill do?
Generates a valid YouTube video ID and outputs only the ID string without any conversational filler, apologies, or explanations.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill provide-raw-youtube-video-id --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.