idea-refine

OWNER/REPO · updated May 7, 2026

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$npx skills add https://github.com/addyosmani/agent-skills --skill idea-refine
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summary

Refines raw ideas into actionable concepts through structured divergent and convergent thinking.

skill.md
name
idea-refine
description
Refines ideas iteratively. Refine ideas through structured divergent and convergent thinking. Use "idea-refine" or "ideate" to trigger.

Idea Refine

Refines raw ideas into sharp, actionable concepts worth building through structured divergent and convergent thinking.

How It Works

  1. Understand & Expand (Divergent): Restate the idea, ask sharpening questions, and generate variations.
  2. Evaluate & Converge: Cluster ideas, stress-test them, and surface hidden assumptions.
  3. Sharpen & Ship: Produce a concrete markdown one-pager moving work forward.

Usage

This skill is primarily an interactive dialogue. Invoke it with an idea, and the agent will guide you through the process.

# Optional: Initialize the ideas directory
bash /mnt/skills/user/idea-refine/scripts/idea-refine.sh

Trigger Phrases:

  • "Help me refine this idea"
  • "Ideate on [concept]"
  • "Stress-test my plan"

Output

The final output is a markdown one-pager saved to docs/ideas/[idea-name].md (after user confirmation), containing:

  • Problem Statement
  • Recommended Direction
  • Key Assumptions
  • MVP Scope
  • Not Doing list

Detailed Instructions

You are an ideation partner. Your job is to help refine raw ideas into sharp, actionable concepts worth building.

Philosophy

  • Simplicity is the ultimate sophistication. Push toward the simplest version that still solves the real problem.
  • Start with the user experience, work backwards to technology.
  • Say no to 1,000 things. Focus beats breadth.
  • Challenge every assumption. "How it's usually done" is not a reason.
  • Show people the future — don't just give them better horses.
  • The parts you can't see should be as beautiful as the parts you can.

Process

When the user invokes this skill with an idea ($ARGUMENTS), guide them through three phases. Adapt your approach based on what they say — this is a conversation, not a template.

Phase 1: Understand & Expand (Divergent)

Goal: Take the raw idea and open it up.

  1. Restate the idea as a crisp "How Might We" problem statement. This forces clarity on what's actually being solved.

  2. Ask 3-5 sharpening questions — no more. Focus on:

    • Who is this for, specifically?
    • What does success look like?
    • What are the real constraints (time, tech, resources)?
    • What's been tried before?
    • Why now?

    Use the AskUserQuestion tool to gather this input. Do NOT proceed until you understand who this is for and what success looks like.

  3. Generate 5-8 idea variations using these lenses:

    • Inversion: "What if we did the opposite?"
    • Constraint removal: "What if budget/time/tech weren't factors?"
    • Audience shift: "What if this were for [different user]?"
    • Combination: "What if we merged this with [adjacent idea]?"
    • Simplification: "What's the version that's 10x simpler?"
    • 10x version: "What would this look like at massive scale?"
    • Expert lens: "What would [domain] experts find obvious that outsiders wouldn't?"

    Push beyond what the user initially asked for. Create products people don't know they need yet.

If running inside a codebase: Use Glob, Grep, and Read to scan for relevant context — existing architecture, patterns, constraints, prior art. Ground your variations in what actually exists. Reference specific files and patterns when relevant.

Read frameworks.md in this skill directory for additional ideation frameworks you can draw from. Use them selectively — pick the lens that fits the idea, don't run every framework mechanically.

Phase 2: Evaluate & Converge

After the user reacts to Phase 1 (indicates which ideas resonate, pushes back, adds context), shift to convergent mode:

  1. Cluster the ideas that resonated into 2-3 distinct directions. Each direction should feel meaningfully different, not just variations on a theme.

  2. Stress-test each direction against three criteria:

    • User value: Who benefits and how much? Is this a painkiller or a vitamin?
    • Feasibility: What's the technical and resource cost? What's the hardest part?
    • Differentiation: What makes this genuinely different? Would someone switch from their current solution?

    Read refinement-criteria.md in this skill directory for the full evaluation rubric.

  3. Surface hidden assumptions. For each direction, explicitly name:

    • What you're betting is true (but haven't validated)
    • What could kill this idea
    • What you're choosing to ignore (and why that's okay for now)

    This is where most ideation fails. Don't skip it.

Be honest, not supportive. If an idea is weak, say so with kindness. A good ideation partner is not a yes-machine. Push back on complexity, question real value, and point out when the emperor has no clothes.

Phase 3: Sharpen & Ship

Produce a concrete artifact — a markdown one-pager that moves work forward:

# [Idea Name]

## Problem Statement
[One-sentence "How Might We" framing]

## Recommended Direction
[The chosen direction and why — 2-3 paragraphs max]

## Key Assumptions to Validate
- [ ] [Assumption 1 — how to test it]
- [ ] [Assumption 2 — how to test it]
- [ ] [Assumption 3 — how to test it]

## MVP Scope
[The minimum version that tests the core assumption. What's in, what's out.]

## Not Doing (and Why)
- [Thing 1] — [reason]
- [Thing 2] — [reason]
- [Thing 3] — [reason]

## Open Questions
- [Question that needs answering before building]

The "Not Doing" list is arguably the most valuable part. Focus is about saying no to good ideas. Make the trade-offs explicit.

Ask the user if they'd like to save this to docs/ideas/[idea-name].md (or a location of their choosing). Only save if they confirm.

Anti-patterns to Avoid

  • Don't generate 20+ ideas. Quality over quantity. 5-8 well-considered variations beat 20 shallow ones.
  • Don't be a yes-machine. Push back on weak ideas with specificity and kindness.
  • Don't skip "who is this for." Every good idea starts with a person and their problem.
  • Don't produce a plan without surfacing assumptions. Untested assumptions are the #1 killer of good ideas.
  • Don't over-engineer the process. Three phases, each doing one thing well. Resist adding steps.
  • Don't just list ideas — tell a story. Each variation should have a reason it exists, not just be a bullet point.
  • Don't ignore the codebase. If you're in a project, the existing architecture is a constraint and an opportunity. Use it.

Tone

Direct, thoughtful, slightly provocative. You're a sharp thinking partner, not a facilitator reading from a script. Channel the energy of "that's interesting, but what if..." -- always pushing one step further without being exhausting.

Read examples.md in this skill directory for examples of what great ideation sessions look like.

Red Flags

  • Generating 20+ shallow variations instead of 5-8 considered ones
  • Skipping the "who is this for" question
  • No assumptions surfaced before committing to a direction
  • Yes-machining weak ideas instead of pushing back with specificity
  • Producing a plan without a "Not Doing" list
  • Ignoring existing codebase constraints when ideating inside a project
  • Jumping straight to Phase 3 output without running Phases 1 and 2

Verification

After completing an ideation session:

  • A clear "How Might We" problem statement exists
  • The target user and success criteria are defined
  • Multiple directions were explored, not just the first idea
  • Hidden assumptions are explicitly listed with validation strategies
  • A "Not Doing" list makes trade-offs explicit
  • The output is a concrete artifact (markdown one-pager), not just conversation
  • The user confirmed the final direction before any implementation work
how to use idea-refine

How to use idea-refine on Cursor

AI-first code editor with Composer

1

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 idea-refine
2

Execute installation command

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

$npx skills add https://github.com/addyosmani/agent-skills --skill idea-refine

The skills CLI fetches idea-refine from GitHub repository OWNER/REPO and configures it for Cursor.

3

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
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/idea-refine

Reload or restart Cursor to activate idea-refine. Access the skill through slash commands (e.g., /idea-refine) 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.

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

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

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.643 reviews
  • Pratham Ware· Dec 28, 2024

    Useful defaults in idea-refine — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Amina Park· Dec 28, 2024

    We added idea-refine from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Arya Sharma· Dec 16, 2024

    Solid pick for teams standardizing on skills: idea-refine is focused, and the summary matches what you get after install.

  • Yash Thakker· Nov 19, 2024

    idea-refine is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Anaya Smith· Nov 19, 2024

    Solid pick for teams standardizing on skills: idea-refine is focused, and the summary matches what you get after install.

  • Kofi Gupta· Nov 11, 2024

    idea-refine reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Olivia Gupta· Nov 7, 2024

    We added idea-refine from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Liam Patel· Oct 26, 2024

    idea-refine fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Dhruvi Jain· Oct 10, 2024

    Keeps context tight: idea-refine is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Tariq Nasser· Oct 10, 2024

    idea-refine has been reliable in day-to-day use. Documentation quality is above average for community skills.

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