Skip to content
cccskills
FreePublished on GitHubEnglish overview

idea-refine

Turn a rough idea into a concrete concept through guided discussion. Explore alternatives, compare user value and feasibility, and produce a Markdown brief covering the recommended direction, assumptions to test, minimum scope, and explicit exclusions.

OriginalShow the original description

Refines raw ideas into sharp, actionable concepts through structured divergent and convergent thinking. Use when an idea is still vague, when you need to stress-test assumptions before committing to a plan, or when you want to expand options before converging on one. Triggers on "ideate", "refine this idea", or "stress-test my plan".

AI rating90/ 100See how to install

Good for

  • Shaping a vague product or feature idea
  • Exploring alternatives before choosing a direction
  • Testing assumptions before committing to a plan
  • Defining minimum scope and what to leave out

Overview

What it does

Turn a rough idea into a concept you can act on through guided discussion. The skill first clarifies the intended audience, success criteria, and constraints. It then explores 5–8 alternatives and uses your reactions to narrow them to 2–3 directions. Each direction is compared for user value, difficulty of implementation, and differences from other options. The discussion also identifies assumptions that need testing and factors that could prevent the idea from working.

When it helps

Use it when you have the beginnings of a service or feature but have not decided what to focus on. It also helps you compare alternatives before planning, define an MVP—the smallest prototype scope—and decide what to leave out this time.

Example requests

  • “Clarify the audience and success criteria for this service idea, and suggest alternatives.”
  • “Identify weak assumptions and practical obstacles in this plan.”
  • “Summarize the chosen direction in a one-page document, including minimum scope and exclusions.”

Notes

This skill is outside its intended scope when you do not yet know what you want, or when the direction is settled and you only need a specification. The output is a one-page Markdown document. Saving it to a location such as docs/ideas/[idea-name].md requires your confirmation.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Objective evaluation

AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.

Clear instructionsIs it clear when to use it and what it does?
AGoodIt specifies refining vague ideas, testing assumptions, and when specification writing falls outside its scope.
Concrete stepsAre steps, inputs, outputs, and examples spelled out?
AGoodIt specifies 3–5 questions, 5–8 variations, 2–3 directions, and a one-page document template.
SafetyAre sending data, deleting files, and running commands disclosed?
BPartly lackingSaving requires confirmation, but the operations performed by the optional idea-refine.sh script are not described.
Easy setupDoes it need few tools or API keys, and are they documented?
AGoodThe workflow is primarily conversational, and the bash command for directory initialization is explicitly optional.

The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 20, 2026. Treat it as a guide and read the original before installing.

Disagree? Request a re-evaluation

Tell us which point is wrong and why. No login needed. We will check it against the SKILL.md, redo the evaluation, and show the result here.

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

Files included (5)

  • SKILL.md9.0 KB
  • examples.md19.8 KB
  • frameworks.md5.3 KB
  • refinement-criteria.md5.6 KB
  • scripts/idea-refine.sh342 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Idea Refine

Overview

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

When to Use

  • Use when an idea is still vague and needs shaping before it can become a plan
  • Use when you need to stress-test assumptions before committing to a direction
  • Use when you want to expand options before converging on one
  • Trigger phrases: "Help me refine this idea", "Ideate on [concept]", "Stress-test my plan"
  • Not for: a user who is unsure what they want at all (use interview-me), or a direction already chosen that needs a spec (use spec-driven-development)

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 skills/idea-refine/scripts/idea-refine.sh

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.

Common Rationalizations

RationalizationReality
I'll generate 20+ ideas to cover all bases5-8 well-considered variations beat 20 shallow ones. Quality over quantity.
The user just needs encouragement, not critiqueA yes-machine produces weak ideas. Push back with specificity and kindness.
Who this is for is obvious — no need to askEvery good idea starts with a person and their problem. Skipping it means designing for nobody.
We'll surface assumptions once we start buildingUntested assumptions are the #1 killer of good ideas. Surface them before committing.
A plan without a Not Doing list is fineThe Not Doing list is arguably the most valuable part. Make trade-offs explicit.

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

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

api-and-interface-design

FreeSummaryAI rating 100

Design APIs and interfaces between modules with clear inputs, outputs, naming, and errors. The skill guides compatible extensions, input validation, and retry handling so callers can use interfaces consistently without accidentally repeating state-changing operations.

  • Designing new REST endpoints
  • Defining frontend and backend data contracts
  • Extending an API while preserving compatibility
addyosmani/agent-skills109.5KUpdated Oct 14, 2026

browser-testing-with-devtools

FreeSummaryAI rating 100

Test browser interfaces through Chrome DevTools MCP, a connection that lets an agent inspect a live browser. Check screenshots, errors, network traffic, accessibility, and performance to diagnose problems and verify fixes.

  • Diagnosing layout and styling problems
  • Investigating browser errors and failed API requests
  • Comparing screenshots before and after a fix
addyosmani/agent-skills109.5KUpdated Oct 14, 2026

ci-cd-and-automation

FreeSummaryAI rating 80

Set up automated checks and deployment workflows with GitHub Actions. Covers tests, type checks, builds, security audits, preview deployments, staged releases, and rollback plans, with guidance for diagnosing failures and reducing pipeline runtime.

  • Set up CI for a new project
  • Add automated tests and quality checks
  • Plan staged deployments and rollbacks
addyosmani/agent-skills109.5KUpdated Oct 14, 2026

code-review-and-quality

FreeSummaryAI rating 90

Review code changes before merging across correctness, readability, architecture, security, and performance. Get findings that distinguish required fixes from optional suggestions, with concrete ways to simplify code and checks on test coverage.

  • Reviewing a pull request before merging
  • Checking code written by an AI agent
  • Assessing whether a refactor reduces complexity
addyosmani/agent-skills109.5KUpdated Oct 14, 2026

code-simplification

FreeSummaryAI rating 100

Make working code easier to read and maintain while preserving its behavior. The skill identifies tangled conditions, unclear names, duplication, and unnecessary abstractions, then guides small refactoring steps checked against existing tests and project conventions.

  • Improving readability after a feature is working
  • Addressing complexity raised in code review
  • Untangling nested conditions and long functions
addyosmani/agent-skills109.5KUpdated Oct 14, 2026

constraint-driven-development

FreeSummaryAI rating 80

Define project quality standards in CONSTRAINTS.md, connect measurable targets to checks, and inspect changes for weakened safeguards. It helps teams choose thresholds and catch skipped tests, suppressed warnings, unfinished code, or lowered standards during agent development.

  • Set quality standards before starting agent development
  • Choose coverage and performance thresholds
  • Detect skipped tests and suppressed warnings
addyosmani/agent-skills109.5KUpdated Oct 14, 2026

See all skills by addyosmani

Report a problem with this skill