Explore our collection of Agent Skills to enhance your AI workflow.
Streamlines the integration of Model Context Protocol (MCP) servers into Claude Code with expert guidance on transport, scoping, and security.
Standardizes the creation of self-contained Python scripts and Claude Code hooks using UV inline dependency metadata.
Streamlines Git version control workflows within Claude Code through intuitive command shortcuts and natural language triggers.
Builds sophisticated 3D-oriented user interfaces and control panels using the Vuer UIKit React component library.
Streamlines MongoDB integration across Node.js, Python, and Java with optimized patterns for transactions, connection pooling, and error handling.
Generates insightful, professional-grade charts and interactive dashboards using industry-standard libraries and design principles.
Optimizes enterprise application performance using AI-powered profiling, predictive tuning, and Context7 integration across 25+ programming languages.
Implements a rigorous diagnostic framework to identify and resolve software bugs through structured hypothesis testing and data validation.
Enforces Google-standard Python programming practices for clean, maintainable, and type-annotated code.
Generates accessible, high-quality Mermaid and DOT/Graphviz diagrams with semantic coloring for technical architecture and documentation.
Implements enterprise-grade Python solutions using modern frameworks like FastAPI 0.115 and Django 5.2 with production-ready patterns.
Provides expert design guidance and systematic workflows based on the principles of legendary designers like Dieter Rams and Saul Bass.
Scans repositories to identify tooling signatures and automates the creation of a comprehensive project manifest for AI agents.
Enriches Notion database entries with real-time GitHub repository metadata including star counts, languages, and social preview images.
Transforms flat CSV files into normalized relational database structures by detecting functional dependencies and generating SQL schemas.
Orchestrates complex multi-agent AI systems and human-AI teams using advanced communication patterns and consensus mechanisms.
Standardizes and compares AI-generated evaluations to ensure consistency, accuracy, and reproducibility across multiple runs.
Manages system incidents, executes runbooks, and coordinates on-call procedures to maintain service reliability and minimize downtime.
Implements production-grade structured logging, distributed tracing, and metrics collection patterns for robust system monitoring.
Analyzes codebase requirements to generate structured refactoring todo lists and validates implementation progress.
Automates pre-merge security scans to detect hardcoded secrets, insecure SSH configurations, and non-portable paths.
Scans Android projects to automatically generate a pre-filled Google Play Console setup and compliance checklist.
Optimizes SQLite performance and concurrency in Python applications using WAL checkpointing and stateful batch connections.
Transforms vague research topics into high-quality, structured prompts using adaptive interviewing and domain-specific frameworks.
Validates py_trees behavior trees for syntactic correctness, action availability, and semantic consistency in robotic workflows.
Formats technical documentation and guides into Atlassian Confluence wiki markup with specialized macros and structural patterns.
Optimizes and generates complex MongoDB aggregation pipelines for sophisticated data transformation and analysis.
Optimizes GitHub Actions workflows by analyzing real-world usage patterns and authoritative documentation via the GitHub CLI.
Integrates OpenAI Codex CLI to provide expert second opinions, bug analysis, and code reviews within your development environment.
Restructures existing code to improve readability, maintainability, and performance without changing external behavior.
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