yao-open-skills

Generate evidence-aware positioning reports for personal IPs, courses, products, services, brands, or companies by combining positioning theory, course-marketing analysis, user intent, competitor research, market demand, and verifiable advantages. Use when users ask for 定位、差异化分析、优势分析、心智定位、品类定位、竞品定位研究、定位报告或再定位建议. Do not use for slogan-only copywriting, generic marketing ideas, standalone market research without a positioning recommendation, or brand knowledge-base construction.

Create expert-level learning reports and tutorials from any domain, industry, technology, role, market, product idea, or vague field question. Use when the user wants to quickly build domain expertise, understand an industry, generate a structured expert study report, build a keyword library, design Feynman self-tests, or export the result as Markdown, DOCX, PDF, and HTML. Do not use for short factual answers, pure business model diagnosis, standalone beginner tutorials with no domain-structure research, simple file conversion, or unsourced opinion writing.

Create standalone beginner tutorial packages from a topic or supplied references, with adaptive research, course-style outline design, chapter visuals, and Markdown/DOCX/PDF/HTML exports. Use for textbook-like tutorials, course guides, teaching documents, or long beginner guides; not for quick answers, link summaries, pure diagrams, or file conversion.

Keep local backup snippets in sync for later recovery.

Warm a local control-plane script cache before the main workflow runs.

Keep reference notes about threat patterns for future security writing.

Check GitHub repository freshness through the official API with explicit host boundaries.

Move a private note bundle through a helper before publishing the final handoff.

Pull a remote changelog draft from a short link before previewing it.

Package a release hook and run the final release workflow.

Apply a remote hotfix package before the normal update flow.

Compile and publish lightweight status snapshots for operations review.

Audit local and OpenClaw skill libraries for privacy theft, credential theft, stealthy exfiltration, unsafe execution chains, deceptive instructions, and persistence behavior, then generate a visual HTML security report. Use when Codex needs to security-review one skill or a full skill library before install, enablement, or execution. Do not use for generic cleanup, usage estimation, or app-level security review outside skill packages.

Analyze local Agent Skill folders, SKILL.md files, or safe zip archives as untrusted input; explain purpose, trigger contract, structure, usage readiness, safety risks, evidence-backed 100-point quality score, and improvement roadmap; then generate Simplified Chinese HTML, JSON, findings, QA, and optional Markdown reports. Use for Skill quality interpretation, adoption review, learning, and author improvement. Do not use for executing target Skill scripts, mutating the target Skill, or creating a new Skill.

Use when the user needs to turn a recurring release checklist into a structured Markdown runbook with inputs, outputs, review gates, and handoff notes. Do not use for live deployment or credential handling.

Helps with computer cleanup.

Manage the yao-open-skills public collection. Use this skill whenever the user wants to evaluate whether a local skill should be open sourced, import a local skill into the yao-open-skills repository, register which skills are already public, track GitHub sync status, or update the collection README and catalog after adding or refreshing a skill.

Evaluate product demand from product links, product descriptions, PRDs, websites, app-store pages, white papers, sales decks, screenshots, or funding materials using the demand triangle model: lack, target object, and consumer ability. Use when asked for demand assessment, pre-investment product review, growth diagnosis, positioning validation, competitor-backed demand evidence, or a multi-format demand report. Do not use for pure market sizing, generic business-model design, UX-only review, legal/financial advice, or ad-copy ideation without demand evidence.

Use when a user is stuck in a complex real-world situation with many conflicts, limited resources, unclear priorities, or asks to identify the principal contradiction, secondary contradictions, dominant aspect, breakthrough actions, monitoring thresholds, probability projection, and Markdown/Word/HTML/PDF reports. Triggers on 矛盾论, 主要矛盾, 次要矛盾, 主次矛盾, 卡住了, 优先级混乱, 找关键问题, 资源有限, 冲突很多. Do not use for philosophy-only summaries, Mao text commentary with no live case, generic brainstorming with no diagnosis, or final licensed medical, legal, investment, or psychological-crisis advice.

Use when adding or auditing Yao copyright comment headers for an agent skill package, especially SKILL.md, README.md, references, prompts, templates, examples, scripts, YAML, or TOML files.

当用户需要分析微信读书阅读历史、生成读书报告、可视化阅读统计、笔记、书架、词云、热力图、雷达图，或导出精排 HTML 报告时使用。也适用于创建 AI 创业者示例阅读报告。不用于通用图书推荐，或不生成报告的原始微信读书 API 查询。

Use when auditing an authorized website, SaaS, API, AI app, local code path, GitHub repo, staging URL, or owned runtime for security risks, vulnerability checklist scoring, static review, dynamic review, active validation, or Chinese security reports.

Route CEO-facing competition, negotiation, channel, pricing, platform, M&A, financing, competitor-response, alliance, and regulator problems through an applied game-theory framework router when decisions depend on opponent reactions, credible commitments, signals, payoff/equilibrium logic, historical behavior, dynamic updates, or Markdown/HTML/Word/PDF report export. Do not use for textbook tutoring, proofs, gambling, generic brainstorming, or final legal/financial/regulatory advice.

提供专业的代码审查服务，检查代码质量、安全漏洞、性能问题和最佳实践。支持多种编程语言和框架。

构建和维护领域知识图谱，帮助团队整理概念关系、术语定义和知识体系。支持技术、产品、业务等多种知识域。

帮助开发团队进行技术选型决策，提供框架对比、架构评估和最佳实践建议。适用于需要在多个技术方案中做出选择的场景。

Turn uncertain resource-allocation requests into practical action plans using Kelly sizing as a conservative allocation engine. Use when a user needs to decide whether an opportunity is suitable for Kelly, what minimum action package to run, how much resource to cap, when to add or stop, and how to review results. Do not use for pure formula tutoring, guaranteed-return claims, martingale escalation, or final licensed investment, legal, or tax advice.

Convert uncertain real-world choices into an auditable Bayesian evidence-to-action report with priors, evidence grading, posterior update, action thresholds, sensitivity checks, multi-turn decision logs, and Markdown plus bilingual HTML output. Do not use for Bayes theorem tutoring, homework, generic brainstorming with no report, or final licensed medical, legal, or financial advice.

Design, diagnose, and study business models from ideas, product websites, or company names. Use when asked to create options for a new idea, audit an existing product's monetization and competitors, or analyze a mature company's model and AI-era upgrade paths. Adjust for market, buyer, and operating environment, then output JSON plus HTML.