boost-prompt
Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
Best use case
boost-prompt is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
Teams using boost-prompt should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/boost-prompt/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How boost-prompt Compares
| Feature / Agent | boost-prompt | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
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.
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