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Agent Skill · 研究检索

idea-validation(想法验证)

idea-validation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

idea-validation 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 55,410。

总安装 480周安装 20GitHub Stars 7下载 160核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:idea-validation(想法验证)
来源仓库:https://github.com/jk-0001/skills
仓库路径:skills/idea-validation
安装命令:
npx skills add https://github.com/jk-0001/skills --skill idea-validation
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/jk-0001/skills --skill idea-validation

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

idea-validation 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。适用于市场调研、创意评估和可行性分析等研究类任务场景。支持基于任务线索和来源信息进行定向信息聚合与过滤。

安装前建议确认权限范围、维护状态及是否触发联网或文件读写。可结合原始 README 和仓库路径进一步验证具体功能和使用方法。

来源仓库内路径:skills/idea-validation

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/jk-0001/skills --skill idea-validation;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

idea-validation 怎么安装?

在终端执行 npx skills add https://github.com/jk-0001/skills --skill idea-validation。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

idea-validation 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

idea-validation 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

idea-validation 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

idea-validation 用的人多吗?

公开数据是累计安装 480 次,近一周安装 20 次,下载 160 次,GitHub 7 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

idea-validation 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
idea-validation

想法验证 · 本页

4807需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Idea Validation

Overview

Kill bad ideas fast, confirm good ones cheaply. Walk through every phase in order. Each phase has a kill-check — if the idea fails, document why and stop before wasting further time.


Step 1: Problem Definition

Everything starts here. A vague problem = a vague business.

Answer these four questions precisely:

  1. Who — The exact person. Not "small businesses." Something like "freelance graphic designers juggling 3-8 client projects at once."
  2. What — The specific painful moment. "They spend 4+ hours/week manually exporting deliverables and coordinating revision feedback via email chains."
  3. Why it hurts — The real cost: time lost, revenue lost, stress, missed deadlines, damaged relationships. Quantify where possible.
  4. What they do now — Their current workaround. This IS your real competition — not just competitor apps, but the status quo itself.

Kill check: Cannot answer all four concretely → problem is not well-defined. Do more discovery first.


Step 2: Demand Signal Gathering

Prove real people care. Do not rely on assumptions or polite friends.

Check 3+ of these signal sources:

SignalWherePositive Signal
Search volumeGoogle Trends, Ubersuggest freeStable or growing volume on core problem keywords
Forum painReddit, HN, Slack/DiscordThreads with 10+ comments describing this exact pain
Existing tool gapsG2, App Store reviewsTools solving adjacent problems with reviews citing the gap you'd fill
Job postingsLinkedIn, IndeedRoles that exist only because this problem is expensive to solve manually
Social ventingTwitter/X search, LinkedInPeople publicly complaining about this unprompted

Kill check: Fewer than 3 positive signals → problem may not be painful enough. Pivot or kill.


Step 3: Solution Fit Check

Pressure-test whether your proposed solution actually solves the problem well enough to build a business on.

  1. 10x rule: Is your solution 10x better (not 10%) than the current workaround in speed, cost, ease, or quality? Marginally better won't make people switch.
  2. Workflow change audit: Map exactly what the user must change in their current routine. High friction = low adoption.
  3. Solo-build feasibility: Can a working MVP be built by one person in weeks-to-a-few-months? If it needs a 10-person engineering team, that's a different company.
  4. Unfair advantage: Why you specifically? Skills, industry access, data, network, credibility — something competitors can't easily replicate.

Kill check: Fail the 10x rule or have zero unfair advantage → move on.


Step 4: Customer Discovery (Talk to Humans)

10-15 conversations with real potential customers. Non-negotiable. No amount of desk research replaces this.

Finding people:

  • Post in 2-3 relevant communities asking for 15-min feedback chats.
  • DM matching personas on LinkedIn or Twitter.
  • Offer a small incentive if needed (gift card, free future access).

Conversation flow (15-20 min):

1. CONTEXT (2 min)
   "Tell me about your work. Walk me through a typical week
    around [problem area]."
   → Listen only. Do NOT pitch or explain your idea.

2. PAIN EXPLORATION (5 min)
   "What's the most frustrating part of [workflow]?"
   "How often does that come up?"
   "What have you already tried to fix it?"
   "What's still missing?"
   → Ask "why" and "what happens when" repeatedly. Dig.

3. OUTCOME PROBING (3 min)
   "If a tool could [describe the outcome, not your feature set],
    how would that change things?"
   "What would that be worth — in time, money, stress?"
   → Let them quantify. Never suggest a number first.

4. WILLINGNESS TO PAY (2 min)
   "Would you pay for something like that? What range feels fair?"
   → Discount stated numbers by ~50% when planning.

5. WARM REFERRAL (1 min)
   "Know anyone else who hits this same wall? Mind if I reach out?"

Track across all conversations:

  • % who described the problem without prompting (pain signal)
  • % currently spending real money or time on workarounds (revenue signal)
  • % with clear willingness to pay (demand signal)
  • Features multiple people independently requested (product signal)
  • Assumptions you held that conversations proved wrong (kill features early)

Kill check: Fewer than 60% confirm pain + willingness to pay → rework or kill.


Step 5: Riskiest Assumption Test (RAT)

One assumption, if wrong, kills everything. Find it. Test it in under 2 weeks and $200.

Common riskiest assumptions and cheap tests:

AssumptionMinimum TestPass Threshold
People will payLanding page + "pre-order" button. Drive 200 targeted visitors.3-5% convert to payment/deposit
CAC is affordableRun $100 targeted ad campaign. Measure cost-per-lead.CPL < 20% of planned customer lifetime value
People will change workflowOffer a manual version of the service to 5 people for free. See if they actually use it.3+ out of 5 use it consistently
I can build it soloBuild the single hardest technical feature as a prototype first.Working prototype in ≤ 2 weeks

Process:

  1. State the assumption.
  2. Define what "confirmed" looks like (a concrete, measurable number).
  3. Design the cheapest possible test.
  4. Set a hard deadline (max 2 weeks).
  5. Run it. Record results with zero spin.

Kill check: RAT fails → idea in current form is not viable. Pivot the solution, the customer, or the model — or kill entirely.


Step 6: Go / No-Go Scorecard

DimensionScore (1-5)Weight
Problem severity & clarity__20%
Demand evidence gathered__15%
Customer discovery confirmation__20%
Solution fit (10x + feasibility)__15%
RAT result__20%
Your unfair advantage__10%

Weighted score = Σ (score × weight)

  • 4.0–5.0 → GO. Move to MVP planning + business model canvas.
  • 3.0–3.9 → CONDITIONAL GO. Resolve the weakest dimension with one more test round first.
  • < 3.0 → NO-GO. Kill or fundamentally pivot. Write down lessons.

Idea Validation Mistakes to Avoid

  • Not documenting findings in one place — insights scattered across notes, emails, and chats become useless. Keep one running "Idea Validation" doc from day one.
  • Letting validation drag on indefinitely. Time-box the entire process to 2-3 weeks max. Validation paralysis is as fatal as skipping it entirely.
  • Testing one idea in isolation. Run 2-3 ideas in parallel when possible — the comparison sharpens judgment and reveals which assumptions you're making about all of them.
  • Confusing polite interest with real demand. Friends and colleagues will say nice things. Pay-or-commit signals from strangers are the only ones that count.
  • Skipping the kill checks. Each phase has a kill check for a reason. Ignoring a failed check and pressing forward wastes weeks or months on a dead-end idea.

平台分布

Codex

37.95%
按下载量换算61

Claude

31.01%
按下载量换算50

Cursor

16.76%
按下载量换算27

Gemini CLI

9.1%
按下载量换算15

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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