Guides developers through creating production-ready GitHub Copilot prompts with structured discovery and best practices.
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add github/awesome-copilot --skill prompt-builderCompatible with
Supported agents
Systematically gathers requirements across nine discovery sections covering identity, persona, task specification, context, instructions, output format, tools, and validation
Generates complete .prompt.md files with proper front matter, clear structure, and comprehensive instructions following established patterns
Includes best practices for prompt engineering, too
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionprompt-builderExecute the skills CLI command in your project's root directory to begin installation:
epx add github/awesome-copilot --skill prompt-builderFetches prompt-builder from github/awesome-copilot and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/prompt-builder
Restart Cursor to activate prompt-builder. Access via /prompt-builderin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
dotnet-best-practices
github/awesome-copilot · Productivity · same repo
prompt-optimizer
affaan-m/everything-claude-code · Productivity · tag: prompt
tui-design
hyperb1iss/hyperskills · Frontend · same category
frontend-ui-ux
code-yeongyu/oh-my-opencode · Frontend · same category
redesign-existing-projects
leonxlnx/taste-skill · Frontend · same category
react-vite-best-practices
asyrafhussin/agent-skills · Frontend · same category
Keeps context tight: prompt-builder is the kind of skill you can hand to a new teammate without a long onboarding doc.
prompt-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend prompt-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend prompt-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Registry listing for prompt-builder matched our evaluation — installs cleanly and behaves as described in the markdown.
prompt-builder has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in prompt-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: prompt-builder is focused, and the summary matches what you get after install.
We added prompt-builder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in prompt-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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