Boost Prompt

Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code.

1 minute · 166 words

Install

$ npx skills add github/awesome-copilot --skill boost-prompt

$ npx skills add github/awesome-copilot

» /plugin marketplace add github/awesome-copilot

The first command installs just this skill, by the name in its SKILL.md; the second installs the whole repository.

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.

About this skill

Trigger

Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.

The verbatim description from this skill’s front matter — the string an agent matches on to decide whether to load it.

Colophon for this issue

Colophon

How this issue was made

Source: github.com/github/awesome-copilot, branch main, last pushed 24 September 2026.
Licence: MIT — the text of every skill is reproduced unmodified, frontmatter included, under the upstream licence.
Discovery: 200 skills found by walking the repository tree for SKILL.md, not by matching a directory convention. 2 distinct layouts observed: .github/skills/*/SKILL.md, skills/*/SKILL.md.
Authorship: 3 of 200 skills are installed into the repository rather than published from it. They are shelved in the closing “Credited skills” part and remain the work of their own authors. A skill counts as credited when its only copy lives under one agent’s dot directory; visible directories, per-agent mirror sets, and skills installable from this repository on skills.sh all count as published.
Issue colours: Resolved from a curated brand profile — hue 295°, chroma 0.190. Two accent tones are generated per issue and each is proven against its own ground before it ships: a single accent that passes AA on both light and dark paper is arithmetically impossible.
Heading repairs: None needed in this skill: the outline was already valid.
Spec compliance: Every skill satisfies the Agent Skills specification’s frontmatter rules.
Images: Images inside a skill come from the upstream repository. Where the author gave no alternative text we mark the image decorative rather than inventing a description — a plausible caption we made up is worse than none for the reader who depends on it.
Marketplace: A plugin manifest is published at .github/plugin/marketplace.json by GitHub, declaring 162 plugins. It is read for editorial metadata only — never as the skill index, which is always the repository tree.
Signal: Install counts come from skills.sh. They measure downloads, not quality, and an unranked repository is not an unread one.
Agent surfaces: The whole issue is available as one markdown document at /github/awesome-copilot.md, and each skill at its own .md URL.
Publication: Set by Skills Docs from the source repository. Body text is Literata at the reader’s chosen size and measure; code is Geist Mono. Nothing on this page was written by us except this paragraph.

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

(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.