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OneWave-AI/claude-skills

在开始构建产品、功能、MVP、智能体、自动化或集成项目前使用,用于识别主要的预制风险并选择最小的验证步骤。当用户询问是否要构建、确定范围、验证、优先排序或对想法进行合理性检查时触发。

claude-skills 是什么?

该技能作为一个简短但关键的预制风险门控,旨在防止在明确风险最高的产品假设之前就开始实施。它引导用户进行系统性思考,从单一风险维度(如需求、买家、分发、工作流、时机、信任或范围风险)中识别最突出的一个或两个风险,并给出一个最小化的验证步骤。支持所有AI智能体平台(如Claude Code、Cursor、Codex等),输出格式结构化:包括一句话重述、风险判定、主风险、最小验证步骤和构建建议。重点在于保持实施无关性,不推荐技术栈或架构,确保用户在投入大量资源前先验证核心假设。

兼容平台✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/OneWave-AI/claude-skills/tree/HEAD/before-you-build

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

在构建之前

将此技能用作一个简短的预制风险门控。

目标是确保在明确最危险的产品假设之前,不要开始实施。保持实施无关性:不要推荐技术栈、架构、工具或代码。

核心行为

当调用时:

  1. 用一句话重述想法。
  2. 识别主要的预制风险。
  3. 给出简短的风险判定。
  4. 推荐在构建之前能够减少不确定性的最小验证步骤。

保持回复简短,除非用户明确要求更深入的审查。

七个风险维度

从以下维度检查想法:

  • 需求风险:是否有足够多的人已经强烈感受到这个问题?
  • 买家风险:是否存在明确的个人或团队有理由付费或承诺?
  • 分发风险:是否存在可信的路径来触达这些用户?
  • 工作流风险:该想法是否适应于用户当前的行为、决策或工作方式?
  • 时机风险:现在是紧急的,还是只在理论上有趣?
  • 信任风险:产品是否需要用户可能不愿提供的数据、访问权限、行为改变或可信度?
  • 范围风险:提议的构建是否大于当前所需的验证?

选择最重要的一个或两个风险。不要将每次审查都变成冗长的清单。

输出格式

使用以下格式:

## 在构建之前

想法:
- [一句话重述。]

风险判定:
- [低 / 中 / 高风险] 因为 [一个具体原因]。

主要风险:
- [主要风险维度及其重要性。]

最小验证步骤:
- [用户可以在构建之前采取的一个具体行动。]

构建建议:
- [立即构建 / 缩小范围构建 / 先验证 / 暂不构建]

验证步骤规则

最小验证步骤应具体且成本低。

优先选择以下步骤:

  • 与五名目标用户交流,这些用户已经尝试过解决该问题。
  • 在构建软件之前,请求付款、预购、意向书或手动承诺。
  • 针对一个狭窄的承诺,运行着陆页、候补名单、外发信息或试运行测试。
  • 在自动化之前,手动交付一次结果。
  • 测试缺失的功能是否阻碍了付费、留存、激活或交付,而不仅仅是完整性。
  • 在扩大范围之前,找到一个可以反复触达目标用户的渠道。

避免以下步骤:

  • 先构建MVP。
  • 添加更多功能看看会发生什么。
  • 选择技术栈。
  • 设计架构。
  • 编写代码。
  • 创建广泛的产品路线图。

特殊情况

如果想法过于模糊,提出一个澄清问题:

这是为谁准备的,他们身陷何种痛苦境地,他们现在是如何解决这个问题的?

如果用户询问的是现有产品的一个功能,请关注该功能是否是付费、留存、激活、信任或交付的真正障碍。

如果用户表示项目是为了学习、作品集或娱乐目的,不要用创业标准来评判。重点放在保持范围小巧并使学习成果清晰。

如果构建决策已定,用户仅需要实施帮助,则不要使用此技能。

风格

直接、质疑、有用。

不要轻蔑。重点不在于扼杀想法,而在于让下一个构建决策更难自我欺骗。

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

OneWave-AI/claude-skills

Deploy a 2-layer parallel agent hierarchy for large, parallelizable work — big refactors, multi-file migrations, codebase-wide audits, bulk generation. A top-tier commander (Fable or Opus) orchestrates the swarms; the user picks a power level (Max Power / Heavy / Balanced / Economy) that sets the Opus/Sonnet/Haiku model mix per layer. Layer 1 is 3-50+ specialist agents, each with its own full context window; Layer 2 is 2+ sub-agents per member. Includes git safety, tiered sizing, a pre-deploy gate, phantom-completion checks, and multi-wave follow-up.

OneWave-AI/claude-skills

Generate animated videos and motion graphics from natural language descriptions. Creates a standalone Vite + React project with Framer Motion scenes that auto-play in the browser. Use when the user wants to create animations, motion graphics, video intros, animated presentations, or product demos.

OneWave-AI/claude-skills

Post-mortem analysis when a client churns. Takes client history, engagement data, support tickets, usage logs, and exit feedback to produce a comprehensive churn autopsy with root cause classification, timeline of decline, and preventive measures.

OneWave-AI/claude-skills

Compose a premium, animated landing page section by section in Next.js + Tailwind + Motion (Framer Motion) — built on a real design system, with editorial copy and motion that feels human-crafted, not template-generated. Use when building or rebuilding a landing page, marketing site, or hero/feature/pricing/CTA sections that need to look production-ready and bespoke from day one.

OneWave-AI/claude-skills

Assemble 2-3 complementary experts to collaboratively analyze anything. Experts work together to explore topics from multiple expert angles.

OneWave-AI/claude-skills

Convert any topic into playable browser games. Types: trivia, matching, word puzzles, adventure games. Uses Phaser.js or Kaboom.js.

OneWave-AI/claude-skills

Turn a marketing brief or product offer into a finished short-form video ad built in HyperFrames — hook, script, shot-by-shot storyboard, scene-by-scene HTML composition, captions, and voiceover. Outputs platform cuts (vertical 9:16, square, 16:9). Use when you need a launch ad, product promo, social video, or paid-creative concept ready to render.

OneWave-AI/claude-skills

Turn a website URL, product docs, or a founder's rambling description into a tight 60-90 second explainer video built in HyperFrames -- problem/solution narrative, animated product walkthrough scenes, captions, and voiceover, ready for the homepage hero, sales emails, and onboarding.

OneWave-AI/claude-skills

Build promo videos for local businesses in HyperFrames -- the new-menu drop, the seasonal offer, the event announcement, the "we're hiring" post, the Google Business Profile clip. Restaurant, salon, gym, trades: 15-30 seconds, brand-clean, captioned, sized for Instagram, Facebook, and the profile.

OneWave-AI/claude-skills

Build a personalized product-demo or sales-walkthrough video in HyperFrames for a specific prospect or account — narrated screen-by-screen, branded to them, ending in a clear next step. Turns a generic demo into a "this was made for me" asset for outbound, follow-up, or deal acceleration. Use when you want to send a tailored video instead of booking another live call.

OneWave-AI/claude-skills

Turn real customer reviews, quotes, and case-study results into polished social-proof videos built in HyperFrames -- single-testimonial spotlights, review-wall montages, and stat-driven proof reels with captions and voiceover, cut for vertical, square, and wide. The highest-converting content most businesses never make.

OneWave-AI/claude-skills

Audit a codebase for LLM calls that are really classifications in disguise, then produce a costed swap plan for a System One model. Use when asked to cut AI inference cost or latency, when scoping a performance engagement for a client, when reviewing an agent loop that feels slow, or when asked "where could we use Jev here". Produces a ranked table of candidates with measured latency and dollar deltas.

OneWave-AI/claude-skills

Build and run a labelled eval set for a System One model (Jev, Von, or any typed-decision config), then sweep criteria wordings and thresholds against it. Use when a Jev/Von classification is wrong or unreliable, when choosing between the hosted API and a local open model, when tuning noul thresholds, or before shipping any typed-decision feature. Produces an accuracy-by-wording matrix and a calibrated threshold.

OneWave-AI/claude-skills

Wire a System One model (Jev, or an open reproduction like Von) into a product feature — routing, guardrails, scoring, classification. Use when replacing an LLM call that returns a label rather than prose, when adding a typed decision to an agent loop, or when deciding between the hosted Jev API and a local open model. Covers question design, the eval-set-first workflow, threshold calibration, confidence gates, and the traps measured on real data.

OneWave-AI/claude-skills

Optimize landing pages for conversions, performance, and SEO. Use when improving landing pages, increasing conversions, or optimizing page performance.

OneWave-AI/claude-skills

TAM/SAM/SOM calculator with deep market research. Produces comprehensive market-sizing.md with top-down and bottom-up estimates, methodology, data sources, assumptions, sensitivity ranges, growth projections, competitive landscape, and Mermaid visualizations. Use when user needs market size estimates, addressable market analysis, go-to-market sizing, investor-ready market analysis, or business plan market validation.

OneWave-AI/claude-skills

Generate unique personalized first lines for hundreds of prospects using company news, LinkedIn activity, and mutual connections. Saves 10+ hours of manual research per campaign. Use when you need personalized outreach at volume.

OneWave-AI/claude-skills

Review investment portfolios for risk, diversification, fees. Asset allocation recommendations, tax-loss harvesting, rebalancing.

OneWave-AI/claude-skills

Create multiple choice, true/false, fill-in-blank, matching quizzes. Auto-generate plausible distractors. Instant grading with explanations.

OneWave-AI/claude-skills

Enhanced skill navigator that maps conversation history, recommends multi-skill chains, identifies patterns from past usage, and learns from session outcomes. Goes beyond basic scout with deep context analysis and workflow orchestration.

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