OrnnSkills

Use this skill when debugging complex, multi-factor, or long-running bugs. It maintains a project-root /coe Markdown case file per bug case using a strict Chain-of-Evidence model with only Problem, Hypothesis, and Evidence nodes.

Best practices for Remotion - Video creation in React

Manages shadcn components and projects — adding, searching, fixing, debugging, styling, and composing UI. Provides project context, component docs, and usage examples. Applies when working with shadcn/ui, component registries, presets, --preset codes, or any project with a components.json file. Also triggers for "shadcn init", "create an app with --preset", or "switch to --preset".

Use when the user needs to design, implement, audit, or govern Storybook stories for frontend components, design systems, page states, interaction tests, accessibility checks, visual baselines, or component-driven UI workflows.

Allows you to view the user's screen as well as several hours of history. Use when the user makes a reference to their recent work, for which it'd be helpful to see the screen. This skill MUST be used whenever you need to resolve ambiguity in a user request, where the user hasn't specified enough context to do the task. Examples include disambiguating the specific user/app/document/error the user is referring to. You must also use this skill if the user asks about any question regarding Chronicle or asks what you can see from the screen.

Use when a frontend redesign or legacy CSS refactor is blocked by global style pollution, selector collisions, unstable DOM reuse, or the need to migrate a page or module to a new UI without breaking the old system.

Use this skill when iterative AI-assisted coding starts to degrade code quality, architecture consistency, or maintainability. It enforces staged implementation, architecture guardrails, duplication control, strict review, and entropy-reduction refactors.

Use this skill when iterative AI-assisted coding starts to degrade code quality, architecture consistency, or maintainability. It enforces staged implementation, architecture guardrails, duplication control, strict review, and entropy-reduction refactors.

Use this skill when iterative AI-assisted coding starts to degrade code quality, architecture consistency, or maintainability. It enforces staged implementation, architecture guardrails, duplication control, strict review, and entropy-reduction refactors.

七维度"好生意"评估模型 - 系统化评估商业机会是否适合个人开发者/小团队

进行竞品分层、功能-定价-体验矩阵与Gap识别，并可结合Porter五力评估竞争强度，适用于竞品分析与差异化定位场景。

竞品监控技能,定期抓取竞品数据,追踪版本更新、评分变化和功能演进

成本结构深度分析 - 评估启动成本、固定成本、变动成本及盈亏平衡点

数据分析与可视化技能,包含痛点聚类、频率统计、趋势识别和 TAM/SAM/SOM 计算

使用标准化评分与场景规划做Go/No-go决策，并定义MVP范围、成功指标与执行节奏，适用于最终立项与落地规划场景。

按《命题研究型报告》模板生成商业机会命题研究报告，适用于已有明确研究方向/问题并需要系统拆解、验证与商业判断的场景。

按《探索研究型报告》模板生成商业机会探索报告，适用于没有指定题目、需要从扫描中选择一个最值得关注机会并进行论证的场景。

用Jobs-to-be-Done与5-Why分析挖掘深层需求，适用于将表面功能需求转化为可差异化的价值主张场景。

基于真实数据完成TAM/SAM/SOM自下而上估算并进行场景规划，适用于评估机会规模与可达性场景。

运营负担分析 - 评估日常运营需求、生活质量影响和自动化可行性

用三角验证、信号噪声识别与数据时效性规则验证痛点真实度，适用于确认痛点是否真实、广泛、持续并具备付费意愿的场景。

用标签聚类、频率统计、痛点强度评估与机会矩阵进行信息整合，适用于将大量原始反馈提炼为可排序机会的场景。

自动化报告生成技能,使用现有模板自动填充研究数据,生成专业的 Markdown 格式报告

按10-15天完整流程组织商业机会调研，并用质量KPI与反偏见清单自检，适用于端到端研究计划制定与执行场景。

责任与风险专项评估 - 深度评估人身安全、财产损失、法律责任等风险

收益模型验证 - 评估收入来源可行性、验证关键假设、进行保守收入预测

从技术/市场/监管/执行四维识别风险并进行概率-影响评估与缓解策略设计，适用于产品可行性与决策评估场景。

用四阶段搜索策略与高级运算符设计和迭代检索查询，适用于在调研中发现未知痛点、验证痛点广度与深度、捕捉负面情绪与Excel替代信号。

情感分析技能,分析用户评论情感倾向,评估痛点严重程度,提取关键词和主题

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.

使用信源可信度金字塔与4问筛选清单评估调研信源质量，适用于选择/审查用户原始行为、一手数据平台、行业洞察等信源，并决定是否可用于结论支撑。

三道防火墙检查机制 - 在详细评估前快速筛除高风险和不可行的项目

趋势分析技能,分析 Google Trends 数据、社交媒体热度、季节性模式,预测市场趋势

计算CAC/LTV/回本周期/流失率并进行敏感度分析，适用于验证商业模型健康度与获客策略可行性场景。

构建用户旅程图并识别情绪变化与产品介入点，适用于从痛点中挖掘更深层心理需求与设计机会的场景。

网页数据提取技能,使用 Playwright 进行动态内容抓取,处理反爬虫机制,数据清洗和结构化

Use this skill when iterative AI-assisted coding starts to degrade code quality, architecture consistency, or maintainability. It enforces staged implementation, architecture guardrails, duplication control, strict review, and entropy-reduction refactors.

Use this skill when iterative AI-assisted coding starts to degrade code quality, architecture consistency, or maintainability. It enforces staged implementation, architecture guardrails, duplication control, strict review, and entropy-reduction refactors.

Use this skill when iterative AI-assisted coding starts to degrade code quality, architecture consistency, or maintainability. It enforces staged implementation, architecture guardrails, duplication control, strict review, and entropy-reduction refactors.

Use this skill when iterative AI-assisted coding starts to degrade code quality, architecture consistency, or maintainability. It enforces staged implementation, architecture guardrails, duplication control, strict review, and entropy-reduction refactors.