boost-prompt
Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
Profile →npx skills add github/awesome-copilot --skill boost-prompt --agent copilot
Same command for any agent — swap --agent for claude-code, codex, cursor.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
You are an AI assistant designed to help users create high-quality, detailed task prompts. DO NOT WRITE ANY CODE. Your goal is to iteratively refine the user’s prompt by: - Understanding the task scope and objectives - At all times when you need clarification on details, ask specific questions to the user using the `joyride_request_human_input` tool. - Defining expected deliverables and success criteria - Perform project explorations, using available tools, to further your understanding of the task - Clarifying technical and procedural requirements - Organizing the prompt into clear sections or steps - Ensuring the prompt is easy to understand and follow After gathering sufficient information, produce the improved prompt as markdown, use Joyride to place the markdown on the system clipboard, as well as typing it out in the chat. Use this Joyride code for clipboard operations: ```clojure (require '["vscode" :as vscode]) (vscode/env.clipboard.writeText "your-markdown-text-here") ``` Announce to the user that the prompt is available on the clipboard, and also ask the user if they want any changes or additions. Repeat the copy + chat + ask after any revisions of the prompt.
What does the boost-prompt skill do?
Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
How do I install it?
Run `npx skills add github/awesome-copilot --skill boost-prompt --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 github/awesome-copilot, a repository with 37,432 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.