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Found 1,934 Skills
Conducts comprehensive requirements review including completeness validation, clarity assessment, consistency checking, testability evaluation, and standards compliance. Produces detailed review reports with findings, gaps, conflicts, and improvement recommendations. Use when reviewing requirements documents (BRD, SRS, user stories), validating acceptance criteria, assessing requirements quality, identifying gaps and conflicts, or ensuring standards compliance (IEEE 830, INVEST criteria). Trigger when users mention "review requirements", "validate requirements", "check requirements quality", "find requirement issues", or "assess BRD/SRS quality".
Xiaohongshu graphic note creation workflow designed exclusively for official/employee accounts of Shenwan Hongyuan Securities, achieving soft marketing drainage with the concept of "all topics pivot to investment". Core features: (1) Supports natural transition from any life/trending topics to investment and financial management; (2) Intelligently judges between new creation or content rewriting mode; (3) Two-stage creation: Phase 1 focuses on topic discussion, high-quality draft creation, and review optimization (without considering IP style and platform format); (4) Phase 2 conducts IP style migration and platform format adaptation (select account style, default is Shenwan Hongyuan official style, supports multi-account style switching); (5) Rewrites into Xiaohongshu note draft (retains core viewpoints), outputs 5-10 title versions, multi-page note structure (cover page + N content pages + promotion tail page), and main content (including introductory remarks + risk warnings + hashtags); (6) Generates corresponding 8K hand-drawn style infographics for each note page (not a single overview image); (7) Evaluates viral potential and provides optimization suggestions; (8) Outputs complete note draft + full set of supporting images. Each major step requires user confirmation. Suitable for scenarios such as financial knowledge popularization, financial management tutorials, investment tool introduction, and transition from any life topics like food, travel, shopping, workplace to investment and financial management. Reflects professionalism and softly guides customers to consult or open an account at Shenwan Hongyuan Securities.
Golden dataset lifecycle patterns for curation, versioning, quality validation, and CI integration. Use when building evaluation datasets, managing dataset versions, validating quality scores, or integrating golden tests into pipelines.
Conduct Fault Tree Analysis (FTA) to systematically identify and analyze causes of system failures using Boolean logic gates. Top-down deductive method for safety and reliability engineering. Use when analyzing system failures, evaluating safety-critical designs, calculating failure probabilities, identifying minimal cut sets, assessing redundancy effectiveness, or when user mentions "fault tree", "FTA", "system failure analysis", "minimal cut sets", "safety analysis", "failure probability", "AND/OR gates", or needs to trace failure pathways from top event to basic events. Supports qualitative structure analysis and quantitative probability calculations.
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
Build AI applications using Azure AI Projects SDK for JavaScript (@azure/ai-projects). Use when working with Foundry project clients, agents, connections, deployments, datasets, indexes, evaluations, or getting OpenAI clients.
Form a high-level investment committee consisting of three virtual experts modeled after legendary investors (Buffett, Wood, Druckenmiller) to conduct independent multi-round adversarial debates. True independent thinking is achieved through physically isolated Gemini API calls, and final resolutions are formed via voting. Use when evaluating investment decisions, reviewing stock research reports, or seeking multi-perspective analysis on public companies.
Prioritize features and backlog items using RICE scoring and Linear's enablers vs blockers lens. Use when asked to rank features, prioritize a backlog, decide what to build next, or evaluate feature requests against each other.
Run MassGen experiments and analyze logs using automation mode, logfire tracing, and SQL queries. Use this skill for performance analysis, debugging agent behavior, evaluating coordination patterns, and improving the logging structure, or whenever an ANALYSIS_REPORT.md is needed in a log directory.
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
Use when seeking analogous solutions from other domains, when stuck on a problem and need fresh perspectives, or when evaluating whether approaches from field X might apply to field Y. Requires structured problem statement.
Self-improving agent architecture using ChromaDB for continuous learning, self-evaluation, and improvement storage. Agents maintain separate memory collections for learned patterns, performance metrics, and self-assessments without modifying their static .md configuration.