agentleFS
lza6lza6/claw-code-tingfeng/skills/idea-refine/SKILL.md

idea-refine

Skill5 starsChanged 12 days agoMITView on GitHub

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

62 other projects use a version of this, 42 of them edited.

Adopted by

Most recently taken up by

Used with

Projects with it also use constraint-driven-development, observability-and-instrumentation and 8 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • MrCipherSmithSkill

    constraint-driven-development

    Use when a project needs a persistent, measurable quality bar — starting a project without documented standards, 'set up constraints', or when coverage/perf/a11y thresholds get re-debated per-PR. Produces CONSTRAINTS.md with enforceable numbers, ratchets, and a guard against silent weakening. NOT for throwaway prototypes or a one-off CI setup.

    Also in 16 projects that use this

  • HK-hubSkill

    observability-and-instrumentation

    Instruments code so production behavior is visible and diagnosable. Use when adding logging, metrics, tracing, or alerting. Use when shipping any feature that runs in production and you need evidence it works. Use when production issues are reported but you can't tell what happened from the available data.

    Also in 33 projects that use this

  • seikaikyoSkill

    doubt-driven-development

    對非平凡決策啟動新鮮 context 對抗審查(找碴不背書),在修正還便宜的時候抓出錯誤方向。適用:高風險改動(production、資安敏感邏輯、不可逆操作)、不熟的程式碼、要宣稱「這樣是安全的 / 可行的」之前。機械性操作與一行修改不適用。

    Also in 41 projects that use this

  • HK-hubSkill

    source-driven-development

    Grounds every implementation decision in official documentation. Use when you want authoritative, source-cited code free from outdated patterns. Use when building with any framework or library where correctness matters.

    Also in 36 projects that use this

  • seikaikyoSkill

    interview-me

    需求不明時的意圖萃取訪談:一次一題、每題附上自己的猜測、聽出「真正想要 vs 覺得應該要」,直到能預測使用者反應(約 95% 信心)才動工。適用:需求缺少對象 / 動機 / 成功標準 / 約束,或使用者點名「訪談我」「先確認一下」「我們確定嗎」。明確自足的指示、純資訊查詢、機械性操作不適用。

    Also in 42 projects that use this

  • OpenAISkill

    security-best-practices

    Perform language and framework specific security best-practice reviews and suggest improvements. Trigger only when the user explicitly requests security best practices guidance, a security review/report, or secure-by-default coding help. Trigger only for supported languages (python, javascript/typescript, go). Do not trigger for general code review, debugging, or non-security tasks.

    Also in 3 projects that use this

The file

Show its rules and text

We split this skill into the rules it gives an agent

14 rules. 7 are common, 0 are distinctive, and 7 are very specific to this project.

  • 7

    Common

    Most of the 47 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 7

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Common:

    Start with the user experience, work backwards to technology.

    line 46
  2. Very specific:

    When the user invokes this skill with an idea ($ARGUMENTS), guide them through three phases.

    line 54
  3. Very specific:

    Use the AskUserQuestion tool to gather this input.

    line 69
  4. Very specific:

    If running inside a codebase: Use Glob, Grep, and Read to scan for relevant context — existing architecture, patterns, constraints, prior …

    line 82
  5. Very specific:

    Read frameworks.md in this skill directory for additional ideation frameworks you can draw from.

    line 84
  6. Common:

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

    line 88
  7. Very specific:

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

    line 97
  8. Common:

    Be honest, not supportive: If an idea is weak, say so with kindness.

    line 106
  9. Very specific:

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

    line 140
  10. Common:

    Don't skip "who is this for.": Every good idea starts with a person and their problem.

    line 146
  11. Common:

    Don't ignore the codebase: If you're in a project, the existing architecture is a constraint and an opportunity.

    line 150
  12. Very specific:

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

    line 156
  13. Common:

    No assumptions surfaced before committing to a direction

    line 162
  14. Common:

    After completing an ideation session:

    line 170

“Common” is measured: kept by at least 6 in 10 of the 47 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.