How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does ask support?

ask works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Yes. ask is free to install and use. It is available from the open explainx.ai skill registry published by buiducnhat.

Where can I read ratings and reviews for ask?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install ask?

Run `npx skills add https://github.com/buiducnhat/agent-skills --skill ask` in your terminal. You need to have run `npx skills init` once in your project first.

Productivity

ask▌

buiducnhat/agent-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/buiducnhat/agent-skills --skill ask

0 commentsdiscussion

summary

Gather the information needed to proceed with a task through structured, focused dialogue.

skill.md

Ask

Purpose

Gather the information needed to proceed with a task through structured, focused dialogue.

This skill is for asking only. Do not plan, implement, or produce any artifacts.

Scope Gate (Required Before Starting)

Use this skill only when:

The task is underspecified — key requirements, constraints, or decisions are missing
User input is required — the task cannot proceed without answers from the user
No assumptions are safe — guessing would risk wasted effort or wrong direction

If the task is clear enough to act on, use brainstorm, write-plan, or quick-implement instead.

Workflow

Step 1: Gather Project Context

Load project context per the shared Context Loading Protocol. Only gather what is relevant to the current task. Skip if no docs exist.

Step 2: Identify Information Gaps

Determine exactly what is missing before a task can proceed:

Objective and user value
Scope boundaries and non-goals
Constraints (technical, UX, performance, timeline)
Success criteria
Key decisions with multiple valid options

Step 3: Ask Questions (One at a Time)

Ask targeted questions sequentially to close each gap.

Rules:

Ask exactly one question per message
Prefer multiple-choice options when practical (2–4 choices)
Use open-ended questions only when no reasonable options exist
Do not ask questions already answered by project documentation
Do not ask about implementation details prematurely
Do not bundle multiple questions into one message

Step 4: Confirm and Hand Off

Once all gaps are closed:

Summarize the collected answers concisely
Confirm with the user that the summary is correct
Recommend the appropriate next skill based on complexity:
- Simple, clear task → quick-implement
- Complex or risky task → write-plan
- Ambiguous, high-risk, or exploratory → brainstorm

Rules

Do not write code or modify any files
Do not produce plans, designs, or implementation artifacts
Do not make assumptions; ask instead
Keep questions short and focused
Apply YAGNI: only ask what is strictly necessary to proceed
Feeds into: brainstorm, write-plan, quick-implement

how to use ask

How to use ask on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add ask

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/buiducnhat/agent-skills --skill ask

The skills CLI fetches ask from GitHub repository buiducnhat/agent-skills and configures it for Cursor.

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ask

Reload or restart Cursor to activate ask. Access the skill through slash commands (e.g., /ask) or your agent's skill management interface.

⚠

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

User Story & Requirements Generation

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

Competitive Analysis

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

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

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

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

1.Install product management skill
2.Start with user story generation for known feature
3.Progress to competitive analysis: research 2-3 competitors
4.Use for roadmap prioritization: apply RICE/ICE scoring
5.Draft stakeholder communications and refine based on feedback
6.Build template library for recurring PM tasks
7.Share effective prompts with product team

Common Pitfalls

⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition

✗ Don't

−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture

💡 Pro Tips

★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ 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.

Learning Path▌

1Basic: user stories, feature specs, status updates
2Intermediate: competitive analysis, prioritization frameworks, PRDs
3Advanced: product strategy, go-to-market planning, OKR setting
4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.6★★★★★45 reviews

★★★★★Hana Taylor· Dec 28, 2024
Useful defaults in ask — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Advait Choi· Dec 16, 2024
I recommend ask for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
★★★★★Aditi Bansal· Dec 8, 2024
Solid pick for teams standardizing on skills: ask is focused, and the summary matches what you get after install.
★★★★★Maya Rao· Dec 8, 2024
ask is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Anaya Jain· Nov 27, 2024
Useful defaults in ask — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
★★★★★Aanya Abebe· Nov 19, 2024
ask is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Anaya Kapoor· Nov 7, 2024
Keeps context tight: ask is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Kwame Martinez· Oct 26, 2024
ask is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
★★★★★Kwame Kim· Oct 18, 2024
I recommend ask for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
★★★★★Carlos Abebe· Oct 10, 2024
Keeps context tight: ask is the kind of skill you can hand to a new teammate without a long onboarding doc.

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