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Found 1,913 Skills
Use when building features that answer questions from private data, documents, policies, or time-sensitive information — RAG architecture, chunking strategies, hybrid search, re-ranking, vector databases, evaluation, agentic RAG, multimodal RAG...
Use when the user needs to plan, de-risk, or ground a software engineering / computer science undergraduate thesis from a real codebase before final writing. Trigger for requests such as "根据项目写毕业论文", "先做论文大纲", "用真实项目材料规划论文", "检查论文是否脱离代码", "根据检测报告降查重", "根据AIGC报告改写定稿", "继续在手改初稿上改", or when an existing draft thesis must be reworked against a school format sample. Produces an evidence-backed outline, chapter rewrite plan, figure plan, and handoff package for academic-paper-composer.
Analyze broker-dealer recommendations under SEC Regulation Best Interest's four obligations: Disclosure, Care, Conflict of Interest, and Compliance. Use when the user asks whether a recommendation satisfies Reg BI, what triggers the 'recommendation' standard, how to evaluate reasonably available alternatives, rollover recommendation compliance, dual-registrant capacity disclosure, share class or account type recommendations, or Reg BI examination preparation. Also trigger when users mention 'best interest standard for brokers', 'is this a Reg BI recommendation', 'care obligation documentation', 'sales contest elimination requirement', 'Form CRS delivery', or ask how Reg BI differs from suitability or fiduciary duty.
Generate and evaluate solution options
Documents a strategic pivot or persevere decision with the evidence, analysis, and rationale. Use when evaluating whether to change direction on a product, feature, or strategy based on market feedback.
Initialize a Harness Engineering framework in the current project. Use when user says 'harness', 'init harness', 'initialize framework', 'setup harness engineering', '/harness', or wants to set up a Plan-Build-Verify development workflow with specialized agents (planner, generator, evaluator). Creates CLAUDE.md, agent definitions, command templates, hooks, and documentation structure for autonomous AI-driven development.
Discipline for giving design work narrative structure that makes people care. Provides four canonical patterns — protagonist-arc, choreography, situation/complication/resolution, what-is/what-could-be — each with a goal, shape, and named pathology. Use when design work needs narrative structure, when stakeholders need to see the user's experience as a story, when presenting design rationale to non-design audiences, or when a journey, blueprint, brief, or deck feels lifeless. Trigger phrases: "what's the story here?", "tell the story", "story mode", "narrative mode". Restated inline in journey, blueprint, strategize, evaluate (and presentation when that skill ships). Refuses to smooth user data into clean arcs, manufacture strategic tension, substitute emotional appeal for evidence, assume conflict arcs are universal, or engineer stakeholder assent by shortcut.
Manuscript Verification and Export for Novels, suitable for user requests such as "Help me check my finished novel", "Export formats suitable for Qidian/Fanqie", "Check for typos", "Detect sensitive words", "Organize into publishable version", "Help me export novel publishing format", "Check novel typos", "Sensitive word detection", "Finished novel inspection", "Export adapted to Qidian format", "Fanqie Novel format export", "Novel typesetting organization", "Multi-platform format export", etc. It is responsible for full technical text verification (typos, punctuation, grammatical errors) and compliance checks, and exports publishing formats adapted to various platforms. **Sub-Agents are used for parallel verification during batch processing, with each Agent responsible for a maximum of 3 chapters**
Screen US equities for parabolic exhaustion patterns and generate conditional pre-market short plans, then evaluate intraday trigger fires from live 5-min bars. Phase 1 daily 5-factor scorer (MA extension / acceleration / volume climax / range expansion / liquidity), Phase 2 per-candidate plans for ORL break / first-red 5-min / VWAP fail with explicit borrow / SSR / manual-confirmation gating, Phase 3 one-shot intraday FSM that detects trigger fires and resolves concrete share counts. Covers Phase 1 + Phase 2 + Phase 3.
Machine-learning prediction strategy framework via Longbridge Securities — walk-forward rolling training with feature engineering (MACD, RSI, Bollinger Band width, volume change rate) and a scikit-learn classifier (Random Forest / Gradient Boosting); retrains every 60 days, predicts 5-day direction; buy signal when probability > 0.6, sell when < 0.4; evaluates win rate, profit factor, and Sharpe ratio. Triggers: "机器学习", "ML策略", "预测模型", "随机森林", "梯度提升", "深度学习", "AI选股", "walk-forward", "機器學習", "ML策略", "預測模型", "隨機森林", "梯度提升", "machine learning", "ML strategy", "predictive model", "random forest", "gradient boosting", "AI stock selection", "walk-forward", "rolling training", "feature engineering", "scikit-learn", "XGBoost".
Helps engineering managers respond to high-urgency requests and use deadlines effectively — produces a five-question framework for evaluating unreasonable deadlines, guidance on scope/staffing/intensity decisions under pressure, Parkinson's Law applied to engineering, and five common deadline mistakes to avoid. Use when the user says "urgent deadline," "everything is on fire," "we need to ship fast," "fake deadline," "unreasonable timeline," "crisis mode," "working weekends," "Parkinson's Law," or "leadership is pushing for faster delivery."
Build, refactor, debug, or review a Convex backend inside a Next.js app. Use when the user mentions Convex, `convex/nextjs`, `npx convex dev`, `NEXT_PUBLIC_CONVEX_URL`, `useQuery`, `useMutation`, `usePaginatedQuery`, schema/indexes, auth, App Router server components/actions, realtime data, chat, notifications, collaborative features, or deploying Convex with Vercel. Also use when deciding whether Convex is a good fit for a Next.js app that needs reactive shared state. Do not use for generic frontend-only Next.js work or non-Convex backends unless the task is specifically about adopting, migrating to, or evaluating Convex.