探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Implements a rigorous four-phase protocol to identify root causes and ensure stable code fixes through scientific hypothesis testing.
Automates the creation of standardized, compliant project updates using the 'Keep a Changelog' format and strict markdown styling.
Automates comprehensive pull request reviews with severity-rated feedback and GitHub CLI integration.
Systematically identifies the root cause of deep-seated bugs by tracing execution backward through the call stack to the original trigger.
Accesses and analyzes library documentation and source code directly from GitHub repositories to provide accurate technical answers.
Streamlines GitHub pull request management by automating branch creation, commit formatting, and detailed PR documentation.
Applies a rigorous four-phase framework to identify root causes and implement stable fixes for complex software bugs and test failures.
Automates the creation and management of draft pull requests with standardized templates and structured commit messages.
Implements complex logic using a strict Red-Green-Refactor cycle to ensure reliable, tested code.
Generates comprehensive, step-by-step implementation plans with exact code, file paths, and TDD verification steps for seamless engineering handoffs.
Executes complex implementation plans through systematic batch processing and mandatory review checkpoints.
Transforms rough conceptual ideas into structured technical designs through collaborative questioning and incremental documentation.
Conducts thorough, automated code reviews with severity ratings and actionable feedback via the GitHub CLI.
Parallelizes independent debugging and bug-fixing tasks by dispatching multiple Claude agents to work on separate problem domains concurrently.
Traces software bugs systematically backward through the call stack to identify and resolve original triggers rather than symptoms.
Orchestrates the creation and refinement of Claude rules and skills using a test-driven development approach to eliminate common failure patterns.
Enforces mandatory workflows for identifying, reading, and implementing specialized skill sets to ensure project alignment and consistency.
Automates the structural migration of Crowi from legacy Express/Swig to a modern Next.js and ts-rest architecture.
Accesses built-in example datasets for causal inference and quasi-experimental modeling.
Validates causal inference models by performing placebo-in-time sensitivity tests to ensure detected effects are not spurious.
Optimizes crypto staking returns by comparing yields, fees, and risk profiles across multiple blockchains and protocols.
Identifies and analyzes profitable cryptocurrency arbitrage opportunities across CEX, DEX, and cross-chain markets in real-time.
Streamlines the process of exporting, optimizing, and deploying TensorFlow models using the industry-standard SavedModel format.
Automates production-readiness checks and safe deployment procedures for Instantly.ai integrations.
Configures and manages isolated development, staging, and production environments for Replit projects.
Simplifies the administration of organization-wide Windsurf configurations and AI governance policies.
Analyzes and optimizes application latency through automated performance testing patterns and benchmarking workflows.
Generates and optimizes production-ready Docker Compose configurations for multi-container application environments.
Automates the generation and maintenance of comprehensive API reference documentation using industry-standard patterns.
Collects and packages diagnostic information, redacted logs, and environment metadata for CodeRabbit support troubleshooting.
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