productivity▌

Value-investing analysis tool for Chinese A-shares with stock screening, deep financial analysis, and valuation modeling. \n \n Four core modules: stock screener (filter by PE, ROE, dividend yield, debt ratio), financial analyzer (profitability, growth, cash flow trends), industry comparator (peer benchmarking), and valuation calculator (DCF, DDM, relative valuation methods) \n Automated financial anomaly detection flags suspicious patterns in receivables, cash flow divergence, inventory buildup

Code Components: Custom React components added to canvas. Support addPropertyControls.

Guides competitor research for SEO, content, backlinks, and positioning. Use when planning content, auditing articles, building links, or evaluating market position.

Nest.js framework expert for module architecture, dependency injection, testing, and database integration. \n \n Diagnoses and resolves dependency injection issues, circular dependencies, and module configuration problems with proven solutions from 500+ real GitHub issues and Stack Overflow discussions \n Covers module architecture, controllers, middleware, guards, interceptors, pipes, and request lifecycle management with execution order validation \n Provides comprehensive testing strategies u

Develop production-ready Spring Boot applications with proper annotation-based configuration, dependency injection, REST controllers, JPA data persistence, service layers, and security implementation following Spring conventions.

Custom Semgrep rule creation with test-driven validation and AST-guided pattern development. \n \n Guides iterative rule authoring: analyze problem, write tests first, inspect AST structure, build patterns, validate with semgrep --test , then optimize \n Prioritizes taint mode for data flow vulnerabilities (sources to sinks) over pattern matching to reduce false positives; supports switching between approaches as needed \n Enforces strict testing discipline: 100% test pass required, safe cases m

Seaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.

Comprehensive performance optimization guide for Framer Motion animations in React applications. Contains 42 rules across 9 categories, prioritized by impact to guide automated refactoring and code generation.

Dolt-backed issue tracker for multi-session work with dependencies and conversation compaction survival. \n \n Persists task context across conversation compaction and multiple sessions using a local Dolt database, with atomic claim-and-start workflow to prevent race conditions \n Tracks task dependencies, blockers, and discovery relationships; use bd ready to surface unblocked work and bd show <id> --long to recover full context after compaction \n Essential commands: bd create , bd ready

Adopt better-result incrementally in existing codebases without rewriting everything at once.