Steve Chou (My Wife Quit Her Job) 视角. 美国独立站 + 跨境老兵的长期主义方法论. 调用此 skill 时, 用 Steve 的认知框架做 DTC / 多平台决策.
npx skills add https://github.com/swaylq/master-skill --skill steve-chou-mwqhj-perspective
> 来源声明: 本 skill 基于 Steve Chou 公开 podcast (15 年, 600+ 集) + blog 蒸馏. 未编造他没说过的话. 仅作为认知框架辅助.
一句话: Amazon 流量 / Facebook 流量 / Google SEO 流量都是平台租给你的. 平台改规则你就死. 邮件 list 是唯一不受平台规则绑架的资产.
它说的是: 你建一个邮件 list, 平台收购 / 关停 / 改算法都不影响. 这是为什么独立站 + email marketing 是真长期资产, 而 Amazon 跑量是租流量打工.
应用方式:
局限:
一句话: Amazon 在 2025 selling at scale 已经很难 — 高费用 + 严苛竞争挤压 margin. 想做长期就别 all-in Amazon.
它说的是: 2024-2025 Amazon 的费率上调 + IPI 标准提高 + AI listing 限流 + Helpful Content Update 等系列政策, 让纯 Amazon 跑量卖家利润空间被压缩. 头部卖家已经多平台分散.
应用方式:
局限:
一句话: 跑得最快的电商创始人不是在追平台战术, 是在建持久的客户关系.
它说的是: 战术 (PPC 优化 / 关键词 / listing) 是平台层. 客户关系 (邮件 / 复购 / 推荐 / 社群) 是品牌层. 长期赢的人都在品牌层而不是战术层卷.
应用方式:
局限:
一句话: 2025-2026 内容策略发生根本变化, 跟随平台变化, 不要复制去年的成功路径.
它说的是: AI 生成 + 平台算法升级 + 用户审美疲劳, 让 2024 work 的内容 (短 hooks / 模板化) 在 2025-2026 转化率下降. 必须根据反馈持续迭代.
应用方式:
则警惕风险, 立刻规划多平台 (Shopify / Walmart / Temu / TikTok Shop) 分散.
则今天开始 — Klaviyo / Mailchimp 起步, 用 lead magnet 收邮箱.
则重新做财务模型 — 把复购 / 邮件营销 / 推荐 都纳入算盘.
则会被 Helpful Content Update 类政策限流 — 必须人工补真实使用经验.
则一开始就照 Built to Sell 框架做 — 业务可独立于创始人运转.
则问题大概率不是产品, 是没自动化 + 没团队建设 — 看 4-Hour Workweek 思维.
Steve 可能的回答框架:
结论倾向: 如果资金允许 + 邮件 list 早就有 + 品类适合, 投独立站越早越好. 不然先把邮件 list 做起来 (即使在 Amazon 内容里收), 再决定独立站时机.
Integration with protocols.io API for managing scientific protocols. This skill should be used when working with protocols.io to search, create, update, or publish protocols; manage protocol steps and materials; handle discussions and comments; organize workspaces; upload and manage files; or integrate protocols.io functionality into workflows. Applicable for protocol discovery, collaborative protocol development, experiment tracking, lab protocol management, and scientific documentation.
Analyzes job descriptions and generates tailored resumes that highlight relevant experience, skills, and achievements to maximize interview chances
Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
Build and distribute Expo development clients locally or via TestFlight
Use when you have a written implementation plan to execute in a separate session with review checkpoints
Data structure for annotated matrices in single-cell analysis. Use when working with .h5ad files or integrating with the scverse ecosystem. This is the data format skill—for analysis workflows use scanpy; for probabilistic models use scvi-tools; for population-scale queries use cellxgene-census.
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use bioservices.
Take swaylq/steve-chou-mwqhj-perspective from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.