boost-prompt作者: github

Interactive workflow to refine task prompts through structured questioning and clipboard delivery. Guides users through systematic prompt refinement by interrogating scope, deliverables, constraints, and technical requirements Produces polished markdown prompts and automatically copies them to the system clipboard via the Joyride extension Focuses exclusively on prompt engineering; does not generate code or implementation details Requires the Joyride extension for VSCode clipboard...

npx skills add https://github.com/github/awesome-copilot --skill boost-prompt

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:

(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.

来自 github 的更多技能

console-rendering
by github
Instructions for using the struct tag-based console rendering system in Go
acquire-codebase-knowledge
by github
Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document…
acreadiness-assess
by github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
acreadiness-generate-instructions
by github
Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS…
acreadiness-policy
by github
Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting…
add-educational-comments
by github
Add educational comments to code files to transform them into effective learning resources. Adapts explanation depth and tone to three configurable knowledge levels: beginner, intermediate, and advanced Automatically requests a file if none is provided, with numbered list matching for quick selection Expands files by up to 125% using educational comments only (hard limit: 400 new lines; 300 for files over 1,000 lines) Preserves file encoding, indentation style, syntax correctness, and...
adobe-illustrator-scripting
by github
Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate…
agent-governance
by github
Declarative policies, intent classification, and audit trails for controlling AI agent tool access and behavior. Composable governance policies define allowed/blocked tools, content filters, rate limits, and approval requirements — stored as configuration, not code Semantic intent classification detects dangerous prompts (data exfiltration, privilege escalation, prompt injection) before tool execution using pattern-based signals Tool-level governance decorator enforces policies at function...

NotebookLM 网页导入器

一键将网页和 YouTube 视频导入 NotebookLM。超过 200,000 用户信赖。

安装 Chrome 扩展