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Get Started Free →lingxling/youtube-seo-optimizer
Generate complete YouTube & podcast SEO packages with live-researched keywords — titles, descriptions, tags, hashtags, chapters, and audit fixes.
5 of 23 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 5 comparable cases; this report requires 8.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to optimize the titles and descriptions for all 15 playlists on my cooking channel in one single execution.
| Checked | Without skill | With skill |
|---|---|---|
| Informs the user that optimization is performed one item at a time and asks for a single item. | Missed | Passed |
The instructions your model reads when the skill loads.
You need web search + URL fetch for this to work. Whatever your host calls them — web_search/web_fetch, WebSearch/WebFetch, an MCP tool — use those.
This skill covers 6 scenarios: 3 content types (video, podcast, short-form) × 2 states (new or underperforming). Each has its own mode below.
Two rules:
The sections below are organized as: Steps → Rules → Templates → Checks. Follow them in order:
Scope check first. This skill handles one video, podcast episode, or short-form clip at a time — not entire channels or playlists. If the user asks for something outside that, say: "I can optimize individual videos or episodes. Which one should I start with?" Once they pick one, restart the flow from Step 0 with that specific item.
Then classify. Read the user's message first — they might have already told you everything. Don't ask something they just said.
Content type — If unclear from what they said, ask once: "Is this a regular video, a podcast episode, or a Short/Reel?"
test cases passed with the skill
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