Here is the complete HTML code for the AimFast.Dev landing page, designed to capture email signups for the MCP Video Prompt Pack. ```html
I ran 10 Clueso MCP commands. Six worked, four failed. Here are the copy-paste prompts that actually deliver results.
No spam. Just the prompt pack and the test report.
Clueso's MCP integration hit Product Hunt with 531 upvotes and 158 comments in a single day. The excitement is real: for the first time, you can edit video by chatting with an AI agent. But read through those comments and a pattern emerges — most people are not asking "what does this do?" They are asking "what do I actually say to it?" Natural language is now a video editing interface, and almost nobody knows how to use it well.
Existing resources do not solve this. Clueso's official documentation explains features, not outcomes. YouTube tutorials are generic and rarely show the exact phrasing that produces a clean cut. Generic prompt marketplaces like PromptBase sell text and image prompts, not video editing workflows, and they have nothing for MCP. Meanwhile, hiring a human editor on Fiverr starts at $50 per video — a price that makes no sense when you just want to trim a podcast or add captions.
The timing is what makes this urgent. MCP is exploding across tools this week, and every new integration will face the same gap: users have the capability but not the vocabulary. The first well-tested prompt library for a specific MCP tool wins the search results, the Reddit threads, and the word of mouth. That window is open today and will close within weeks as copycats flood in. This pack is built to capture it.
Three steps from raw footage to a finished edit, using prompts that have already been tested against the real Clueso MCP.
Choose from podcast, short-form, tutorial, or marketing categories. Each contains prompts written for that specific editing workflow, so you never start from a blank chat box.
Drop the prompt into Clueso's MCP chat, attach your footage, and adjust the bracketed variables. The phrasing is tuned to avoid the ambiguity that causes most AI video edits to fail.
Before you run it, read the known-failure notes for that prompt. They tell you which inputs break the command and how to rephrase it, saving you from the four failure modes I already hit.
Everything is delivered as a single document you can search, copy from, and keep open beside Clueso while you edit.
Eight podcast prompts, eight short-form prompts, seven tutorial prompts, and seven marketing prompts. Each one is written for a concrete outcome like removing filler words, generating chapters, or producing an A/B ad variant.
I ran ten real commands through Clueso MCP and documented exactly which six succeeded, which four failed, and the precise reason each failure happened. You get the working phrasing and the broken phrasing side by side.
Extracted from the 158 Product Hunt comments, this section collects the complaints real users posted, such as the agent ignoring pacing instructions. Each entry includes the