探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Automates the setup of standardized development tools including linting, static analysis, and code refactoring for Laravel projects.
Generates standardized AGENTS.md and CLAUDE.md files to provide AI coding agents with essential repository context and operational guidance.
Optimizes system performance through adaptive resource allocation, predictive scaling, and intelligent capacity planning.
Transforms GitHub Issues into intelligent multi-agent tasks with automatic task decomposition and real-time progress tracking.
Generates polished, long-form content and technical documentation using a distinctive voice extracted from brand examples.
Automates high-frequency trading and market predictions using sublinear algorithms and temporal lead calculations to gain competitive execution advantages.
Optimizes system performance through adaptive resource allocation, predictive scaling, and intelligent capacity planning.
Enforces strict multi-tenant data isolation by ensuring communityId filters are consistently applied across all MongoDB queries and service logic.
Implement robust analytics tracking systems using GA4, GTM, and event-driven architectures to capture actionable business insights.
Generates and synchronizes professional fundraising assets, including pitch decks, financial models, and investor memos with rigorous data consistency.
Hardens Django applications by implementing robust authentication, authorization, and protection against common web vulnerabilities.
Automates the process of committing changes, pushing code to remote repositories, and updating GitHub issue status in a single workflow.
Designs and implements production-grade RESTful Web APIs with a focus on security, performance, and OpenAPI standards.
Transforms GitHub issues into autonomous multi-agent tasks with automatic decomposition and real-time progress tracking.
Analyzes codebase architecture using "A Philosophy of Software Design" principles to reduce complexity and technical debt.
Reactivates the Claude Code Learning Memory (ALM) system to re-enable automated evaluation and playbook injection.
Provides standardized REST API design patterns and best practices for building consistent, production-grade backend services.
Automates the creation of atomic, conventional-style git commits with mandatory pre-commit validation and interactive user review.
Equips Windows environments with standard UNIX command-line utilities using a portable BusyBox binary.
Decomposes complex features into granular, executable tasks with exact implementation code and TDD-driven test commands.
Standardizes project documentation using templates for READMEs, API references, code comments, and AI-optimized metadata.
Orchestrates multiple AI agents to work simultaneously on a shared codebase using task-locking and git-based isolation strategies.
Generates mocks, stubs, spies, and fakes to isolate dependencies and streamline automated testing workflows.
Automates the end-to-end process of committing changes, pushing bookmarks, and opening GitHub Pull Requests using the Jujutsu version control system.
Automates the creation and refinement of Claude Code skills using Anthropic-aligned best practices and built-in validation.
Automates the end-to-end service planning lifecycle using Design Thinking methodologies to generate comprehensive product documentation.
Standardizes and automates the creation of robust test suites for BayesFlow extension packages using Pytest and Keras 3.
Audits code implementations against predefined plan files to ensure full execution and compliance with project requirements.
Initializes a structured environment for autonomous software development using the Ralph Wiggum iterative context technique.
Automates the end-to-end implementation of secure subscription payment systems, from database schema design to PG integration and frontend management interfaces.
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