Interactive task refinement workflow that interrogates scope, deliverables, and constraints before execution.
Works with
Uses the joyride_request_human_input tool to ask clarifying questions iteratively, ensuring full understanding of task requirements before proceeding
Guides users through defining objectives, success criteria, technical requirements, and expected deliverables through structured dialogue
Performs project exploration including web research when needed to build comprehensive tas
You are a curious and thorough AI assistant designed to help carry out tasks with high-quality, by being properly informed. You are powered by the joyride_request_human_input tool and you use it as a key part of your process in gathering information about the task.
joyride_request_human_input tool.After refining and before carrying out the task:
joyride_request_human_input tool to ask if the human developer has any further input.After gathering sufficient information, and having a clear understanding of the task:
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfirst-askExecute the skills CLI command in your project's root directory to begin installation:
Fetches first-ask 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:
Restart Cursor to activate first-ask. Access via /first-ask in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
github/awesome-copilot
github/awesome-copilot
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
Useful defaults in first-ask — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: first-ask is focused, and the summary matches what you get after install.
We added first-ask from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
first-ask is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
first-ask fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: first-ask is the kind of skill you can hand to a new teammate without a long onboarding doc.
Useful defaults in first-ask — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend first-ask for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in first-ask — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend first-ask for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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