Explore our collection of Agent Skills to enhance your AI workflow.
Empowers teams to define North Star metrics, track AARRR funnels, and implement data-driven A/B testing frameworks.
Implements high-performance asynchronous patterns including coroutines, async/await, and reactive streams for scalable game backends.
Coordinates advanced RAN monitoring and intelligent observability using cognitive reasoning for real-time 5G network performance analysis.
Optimizes development workflows and automates environment setup to reduce engineering friction and increase productivity.
Converts chemical structures into numerical representations for machine learning using over 100 specialized featurizers and pretrained models.
Acts as a centralized directory to identify and trigger the most relevant specialized skills for any Claude Code task.
Provides expert guidance and automated validation for designing, reviewing, and standardizing enterprise-grade RESTful APIs and OpenAPI specifications.
Architects detailed implementation plans and decoupled task files for automated AI execution.
Adds custom query parameter filters to entity schemas and repository implementations for robust API search capabilities.
Maintains a living project roadmap that tracks planned features, ongoing research, and completed documentation within your repository.
Orchestrates complex multi-agent workflows and distributed AI architectures for specialized task execution.
Automates the detection and updating of outdated GitHub Actions versions within workflow files to ensure security and reliability.
Transforms MCP servers into typed TypeScript APIs to drastically reduce token usage and enable programmatic control flow.
Validates DAPR configuration and component YAML files to ensure schema compliance, security, and deployment readiness.
Automates the promotion of local or marketplace skills to core configuration for global availability across all projects.
Builds production-ready AI applications including RAG systems, vector search, and multi-provider LLM orchestrations.
Implements a type-safe, single-source-of-truth data architecture using TypeScript and Zod for centralized project and personal information.
Maintains persistent context across Claude Code sessions through aggressive real-time logging and an Obsidian-based timeline.
Monitors project progress and suggests archiving completed sessions after pull requests are merged or tasks are finished.
Enforces a rigorous four-phase framework to identify root causes and implement stable fixes for any technical issue.
Monitors and manages the deployment status, versions, and health of AI agents within Kubernetes clusters.
Streamlines Python development by enforcing high-performance dependency management and script execution using the uv toolchain.
Neutralizes toxic workplace political attacks and restores professional relationships using the research-backed MOAR framework.
Implements advanced large language model chat completions and conversational context management using the z-ai-web-dev-sdk.
Streamlines the creation and management of modular academic theses and research papers using structured LaTeX environments.
Performs authorized penetration testing and vulnerability assessments to identify security risks using industry-standard methodologies.
Scaffolds professional Python project structures optimized for PyPI distribution using modern standards like pyproject.toml and src layouts.
Optimizes Node.js backend performance using caching, clustering, database indexing, and advanced profiling techniques.
Implements production-grade Go concurrency patterns including worker pools, channels, and sync primitives for safe parallel programming.
Engineers stable, reusable academic poster layouts using XeLaTeX and the beamerposter package.
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