跳到正文
cccskills
免费在 GitHub 公开中文介绍

idea-refine

通过对话深入梳理模糊的想法,比较多个方案,形成可付诸行动的构想,并明确目标人群、成功标准、待验证假设、最小范围和不做的事项。

原文查看原文说明

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 评分90分/ 100查看安装方法

适用场景

  • 把模糊的服务或功能想法具体化
  • 确定方向前比较其他方案
  • 制定计划前验证假设
  • 明确最小范围和不做的事项

中文介绍

功能

通过对话深入梳理模糊的想法,形成可付诸行动的构想。先确认目标人群、成功标准和限制条件,再展开5至8个方案,根据你的反馈收敛为2至3个方向。比较各方向为用户带来的价值、实现难度以及与其他选择的区别,同时找出需要验证的假设和可能阻碍实现的因素。

适用场景

适合已有服务或功能的初步想法,却尚未确定重点的时候。也可用于在制定计划前比较其他方案,确定MVP,即最小原型的范围,并明确本次不做的事项。

使用示例

  • “请梳理这个服务想法的目标人群和成功标准,并提出其他方案。”
  • “请找出这个计划中依据薄弱的假设和实现障碍。”
  • “请把选定方向整理成一页文档,包含最小范围和排除事项。”

注意事项

不适用于完全不知道自己想做什么,或方向已定、只需编写规格说明的阶段。成果是一页Markdown文档;保存到docs/ideas/[idea-name].md等位置前,会先征得用户确认。

本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。

客观评估

AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。

指令清晰度能否看出何时使用、做什么
A良好明确说明了模糊想法的细化、假设验证及与规格编写的适用区别。
步骤具体性步骤、输入输出和示例是否具体
A良好规定了3至5个问题、5至8个方案、2至3个方向及一页文档模板。
安全性发送数据、删除文件、执行命令等是否有说明
B部分不足保存文档须经确认,但未说明可选脚本idea-refine.sh的具体操作。
安装难易度所需工具和 API 密钥是否少且有说明
A良好流程以对话为主,并明确说明目录初始化的bash命令为可选步骤。

总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月20日 评估。仅供参考,安装前请同时查看原文。

如果您认为评估有误,请申请复核

请写明哪一项有误以及原因。无需登录。我们会对照 SKILL.md 重新评估,并在此处更新结果。

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

包含的文件(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(原文)

安装前可以查看交给 AI 代理的指令内容。

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

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

api-and-interface-design

免费有简介AI 评分 100分

在实现前定义 API 和模块之间的输入输出,统一命名、错误格式与输入校验,并考虑现有调用方的兼容性及重试造成的重复处理。

  • 设计新的 REST API
  • 定义界面与服务器的数据规范
  • 在保持兼容的前提下扩展 API
addyosmani/agent-skills10.9万2026年10月14日 更新

browser-testing-with-devtools

免费有简介AI 评分 100分

在真实浏览器中验证页面显示与操作,检查错误、网络通信和加载速度,并比较修复前后的截图、确认无障碍支持。

  • 排查布局与样式问题
  • 检查浏览器错误与API通信
  • 比较修复前后的页面
addyosmani/agent-skills10.9万2026年10月14日 更新

ci-cd-and-automation

免费有简介AI 评分 80分

自动执行代码变更后的测试、类型检查和构建,建立发布前的质量检查流程。涵盖GitHub Actions配置、分阶段发布和回滚步骤,也介绍失败排查与运行提速。

  • 为新项目引入CI
  • 自动执行测试和质量检查
  • 设计分阶段发布与回滚流程
addyosmani/agent-skills10.9万2026年10月14日 更新

code-review-and-quality

免费有简介AI 评分 90分

在合并前从正确性、可读性、架构、安全和性能五个维度审查代码变更,检查测试是否恰当,区分必须修复的问题与可选建议,并提出具体改进方法。

  • 合并前审查拉取请求
  • 检查人工智能编写的代码
  • 评估重构是否带来改善
addyosmani/agent-skills10.9万2026年10月14日 更新

code-simplification

免费有简介AI 评分 100分

在保持行为不变的前提下,整理深层条件分支、长函数、重复逻辑和含糊命名。先检查现有规范与测试,再以可读性为标准逐步修改。

  • 改善已正常运行功能的代码可读性
  • 处理代码审查指出的复杂逻辑
  • 整理深层条件分支和长函数
addyosmani/agent-skills10.9万2026年10月14日 更新

constraint-driven-development

免费有简介AI 评分 80分

将项目质量标准及其数值、理由和检查方法写入文档,并从差异中检查跳过测试、抑制警告或降低门槛的改动,维持智能体开发质量。

  • 制定智能体开发的质量标准
  • 选择覆盖率与性能目标
  • 发现跳过测试或抑制警告
addyosmani/agent-skills10.9万2026年10月14日 更新

查看 addyosmani 的全部技能

报告此技能的问题