idea-refine
Skill2 starsChanged 40 days agoMITView on GitHub
Use when a feature idea, project concept, or product direction is vague and needs sharpening before spec or implementation. Guides divergent exploration, convergent evaluation, and a final one-pager.
62 other projects use a version of this.
Adopted by
Most recently taken up by
- ishandutta2007/Awesome-Agent-Skillstheir own version, first seen Nov 8, 2026
- MMACABRE/SKILLStheir own version, first seen Nov 8, 2026
- gopalparashar421/agent-skillstheir own version, first seen Nov 8, 2026
- celestialdust/achilles-skillstheir own version, first seen Nov 1, 2026
- steven123397/nexuskit-skillstheir own version, first seen Nov 1, 2026
- AgnesAI-Labs/agnet-skills-cntheir own version, first seen Nov 1, 2026
Used with
Projects with it also use security-best-practices, minimalist-ui and 3 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.
OpenAISkillsecurity-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
AnasX7Skillminimalist-ui
Clean editorial-style interfaces. Warm monochrome palette, typographic contrast, flat bento grids, muted pastels. No gradients, no heavy shadows.
Also in 4 projects that use this
GoogleSkillponytail
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use on ANY coding task: writing, adding, refactoring, fixing, reviewing, or designing code, and choosing libraries or dependencies. Also use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", or complains about over-engineering, bloat, boilerplate, or unnecessary dependencies. Do NOT use for non-coding requests (general knowledge, prose, translation, summaries, recipes).
Also in 5 projects that use this
CloudflareSkillreceiving-code-review
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement or blind implementation
Also in 6 projects that use this
AnasX7Skilldesign-taste-frontend
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
Also in 5 projects that use this
Other versions62 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 62
- addyosmani/agent-skills★ 114ksame name
- shashankswe2020-ux/whoop-mcp★ 174same name
- vinvcn/addyosmani-agent-skills-zh★ 46same name
- sampleXbro/agentsmesh★ 27same name
- jaskirat1616/grok-skills★ 22same name
- ishandutta2007/Awesome-Agent-Skills★ 21same name
- HK-hub/AgentSkills★ 6same name
- lza6/claw-code-tingfeng★ 5same name
- ddddjaak/ae-skills★ 4same name
- dzevs/zynk★ 4same name
52 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository31 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- android-accessibilitySkill
- android-architectureSkill
- android-background-workSkill
- android-data-persistenceSkill
- android-device-testingSkill
- android-e2e-verificationSkill
- android-ui-engineeringSkill
- api-and-interface-designSkill
- ci-cd-and-automationSkill
- code-review-and-qualitySkill
- code-simplificationSkill
- constraint-driven-developmentSkill
- context-engineeringSkill
- debugging-and-error-recoverySkill
- deprecation-and-migrationSkill
- documentation-and-adrsSkill
- doubt-driven-developmentSkill
- git-workflow-and-versioningSkill
- incremental-implementationSkill
- interview-meSkill
- observability-and-instrumentationSkill
- performance-optimizationSkill
- planning-and-task-breakdownSkill
- security-and-hardeningSkill
- shipping-and-launchSkill
- source-driven-developmentSkill
- spec-driven-developmentSkill
- test-driven-developmentSkill
- using-agent-skillsSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 55 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 22
Before writing a spec (feeds into spec-driven-development)
- Distinctive: line 81
No measurable success criteria
- Distinctive: line 85
Before moving to spec:
“Common” is measured: kept by at least 6 in 10 of the 55 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.
Files
Idea Refinement
Overview
Turn a vague idea into a focused, actionable direction. This skill uses structured divergent-convergent thinking: first expand possibilities, then evaluate and converge on the strongest direction, then sharpen into a one-pager ready for spec writing.
Philosophy: "Simplicity is the ultimate sophistication." Say no to 1,000 things to focus on the one that matters.
When to Use
- A feature request or product idea is unclear or overly broad
- You need to explore multiple directions before committing
- Stakeholders have different interpretations of "what we're building"
- Before writing a spec (feeds into
spec-driven-development)
Skip when: The requirement is already specific and unambiguous.
Core Process
Phase 1: Understand & Expand (Divergent)
- Restate as "How Might We" — Convert the idea into an open question
- "Add offline support" → "How might we ensure users can accomplish core tasks without connectivity?"
- Ask sharpening questions (answer or surface for human input):
- Who specifically benefits? (persona, not "users")
- What does success look like? (measurable outcome)
- What constraints exist? (timeline, tech debt, API limitations, minSdk)
- What has been tried before?
- Generate 5–8 variations using these lenses:
- Inversion: What if we solved the opposite problem?
- Constraint removal: What if we had no legacy code / no backward compatibility?
- Simplification: What is the absolute minimum version?
- Combination: What if we merged this with another planned feature?
- Analogy: How do other Android apps solve this? (study Play Store top apps)
Phase 2: Evaluate & Converge
- Cluster into 2–3 directions — group related variations
- Stress-test each direction:
- Technical feasibility (existing modules, Android API levels, library support)
- User impact (who benefits, how much)
- Effort estimate (small / medium / large)
- Risk profile (what could go wrong)
- Surface hidden assumptions — list every assumption with a validation strategy
- "Assumption: Room migrations will handle schema changes → Validate: write migration test"
Phase 3: Sharpen & Ship
- Write a one-pager with:
- Problem statement (1–2 sentences)
- Recommended direction (with rationale)
- Key assumptions (with validation plan)
- MVP scope (what's in the first slice)
- "Not Doing" list (explicit exclusions — critical for scope discipline)
Common Rationalizations
| Shortcut | Why It Fails |
| "The idea is obvious, skip to coding" | Obvious ideas have hidden assumptions. Shipping the wrong thing wastes more time than 30 minutes of refinement. |
| "We explored enough in the meeting" | Verbal exploration is lossy. Written exploration catches gaps. |
| "Let's just build an MVP and see" | An unfocused MVP tests nothing. Define what you're testing first. |
| "We don't have time to explore" | Exploration prevents rework. 30 minutes now saves days later. |
Red Flags
- No "Not Doing" list (scope will creep)
- Single direction explored (confirmation bias)
- Assumptions listed without validation strategies
- MVP scope includes "and also…" additions
- No measurable success criteria
Verification
Before moving to spec:
- Problem restated as "How Might We" question
- At least 5 variations generated using different lenses
- 2–3 directions evaluated with feasibility, impact, effort, risk
- All assumptions listed with validation strategies
- One-pager written with problem, direction, assumptions, MVP scope, exclusions
- Human has reviewed and approved the direction
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
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.

