Explore our collection of Agent Skills to enhance your AI workflow.
Automates the application of human-curated code review comments by fetching feedback from pair-review and implementing requested changes.
Implements comprehensive BDD/TDD unit testing for Bash and POSIX shell scripts using the ShellSpec framework.
Standardizes the creation and optimization of custom Claude Code skills to ensure they are discoverable, efficient, and actionable for AI agents.
Performs advanced server-side AI code reviews with integrated web UI reporting via MCP.
Optimizes code review performance by providing intelligent heuristics for selecting the best AI model for specific analysis subtasks.
Streamlines Git version control and GitHub pull request workflows with automated safety checks and standardized formatting.
Analyzes Alibaba Cloud Log Service (SLS) data using Trace IDs or URLs to automatically identify root causes and locate relevant source code.
Streamlines the creation, modification, and debugging of Claude Code plugins using standardized schemas, templates, and validation workflows.
Accelerates Java and Spring Boot backend development by providing standardized guides for APIs, RPCs, and database migrations.
Automates the extraction of Modao prototype pages, screenshots, and annotations into organized Markdown documentation.
Synchronizes and updates built-in model configurations for various AI providers to ensure access to the latest LLM capabilities for code review.
Streamlines specialized Git branch workflows and release management for the ABC development ecosystem.
Performs multi-layered AI code reviews using parallel agents to identify bugs, improvements, and architectural issues across your codebase.
Automates the generation and maintenance of Treasure Data column descriptions using AI-powered schema analysis and human-in-the-loop review.
Manages Alibaba Cloud Codeup repositories, branches, and merge requests directly through Claude.
Configures and optimizes mailing list servers by integrating Postfix with Mailman3 for robust inbound and outbound email delivery.
Provides structured guidance for video analysis, motion detection, and temporal event tracking using computer vision techniques.
Implements distributed model training by partitioning PyTorch layers across multiple GPUs using pipeline parallelism patterns like AFAB and 1F1B.
Compiles C/C++ software with gcov code coverage instrumentation and manages custom installation paths for system-wide binary availability.
Implements high-performance gRPC-based key-value store services in Python using protocol buffers and standardized implementation workflows.
Resolves LaTeX line-breaking issues by strategically replacing words with shorter synonyms from an authorized list to reduce line width while preserving meaning.
Implements MIPS CPU interpreters and emulators capable of executing compiled ELF binaries through structured architectural guidance and iterative development.
Guides the compilation of the legacy Caffe deep learning framework and the training of convolutional neural networks on the CIFAR-10 dataset.
Implements neural network inference for transformer architectures within extreme code size constraints and minimal environments.
Translates Stan statistical models and inference code from R (RStan) to Python (PyStan 3.x) while handling API mappings and output differences.
Performs advanced astronomical data analysis, coordinate transformations, and cosmological calculations using the industry-standard Astropy library.
Implements professional testing strategies using pytest, mocking, and advanced fixtures to ensure high-quality Python codebases.
Master the TypeScript type system using advanced patterns, strict configurations, and runtime validation techniques.
Debugs complex memory crashes in C++ applications related to custom allocators, static destruction ordering, and discrepancies between build configurations.
Guides frame-level analysis and event detection in videos using OpenCV to ensure accurate motion tracking and algorithm validation.
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