探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Optimizes troubleshooting by dispatching multiple AI agents to investigate and resolve independent test failures simultaneously.
Decomposes complex product requirements into measurable, demoable working increments that ensure early delivery of user value.
Enforces a rigorous Test-Driven Development (TDD) workflow by routing tasks to specialized language agents.
Eliminates flaky tests by replacing non-deterministic timeouts with robust, state-aware condition polling.
Implements a rigorous four-phase debugging framework that ensures the root cause is fully understood before any code fixes are attempted.
Generates comprehensive, investor-ready business plans and financial models tailored to specific industries and funding goals.
Automates Brazilian financial regulatory compliance workflows for BACEN, RFB, and Open Banking using specialized AI agents.
Facilitates portfolio-level retrospectives to capture lessons learned and drive organizational process improvements across multiple projects.
Orchestrates automated plan execution by dispatching fresh subagents for individual tasks with integrated parallel code reviews.
Validates AI skill reliability using a Red-Green-Refactor methodology and high-pressure compliance testing.
Enforces rigorous unit test coverage and TDD methodology through mandatory quality gates for AI-driven development.
Audits and improves technical documentation by enforcing standards for voice, structure, completeness, and technical accuracy.
Standardizes technical documentation style to ensure clarity, consistency, and a professional yet human tone.
Enforces a mandatory command-first workflow that requires fresh verification evidence before any success claims or code commits.
Enforces systematic feature planning and research-first workflows through standardized quality gates for AI-driven development.
Orchestrates a mandatory 6-gate development workflow to ensure software engineering best practices and quality checkpoints for AI agents.
Standardizes the onboarding of new services to internal platforms through automated infrastructure, observability, and security workflows.
Orchestrates mandatory parallel code reviews using three specialized AI agents to enforce security, logic, and quality standards.
Conducts systematic market research and sizing to provide quantified intelligence for product strategy.
Audits and optimizes Retrieval-Augmented Generation (RAG) implementations for performance, accuracy, and production readiness.
Configures and validates the foundation for multi-gate regulatory reporting and compliance workflows.
Recommends optimal document chunking strategies to improve retrieval quality and accuracy in RAG pipelines.
Standardizes application containerization and local development environments using Docker and docker-compose.
Evaluates RAG system performance through automated metrics, LLM-as-judge scoring, and competitive benchmarking.
Builds production-ready REST APIs and web applications using Express.js best practices for routing, middleware, and error handling.
Implements professional-grade SQLAlchemy ORM patterns and database optimizations for modern Python applications.
Enforces business-first product requirements discovery by strictly separating user needs from technical implementation details.
Visualizes the business-level feature landscape and relationship map to align architectural planning with product requirements.
Enforces high-quality testing standards by preventing mock-testing, production code pollution, and brittle dependency isolation.
Automates the identification and resolution of performance discrepancies between Python and AILANG benchmark success rates.
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