Explore our collection of Agent Skills to enhance your AI workflow.
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.
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.
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.
Synchronizes project documentation, bug logs, and session tasks in real-time while you code.
Opens the native macOS Finder file picker to seamlessly select and attach local files to your Claude Code conversation.
Searches and retrieves candidate profiles, application stages, and internal notes from the Ashby ATS directly within Claude.
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.
Integrates pre-trained models like CLIP, Whisper, and Stable Diffusion for advanced vision, speech recognition, and image generation tasks.
Automates pre-merge security scans to detect hardcoded secrets, insecure SSH configurations, and non-portable paths.
Designs and documents complex systems using the Event Modeling methodology to create a shared visual blueprint across stakeholders and developers.
Captures and evolves repetitive developer patterns into reusable AI instincts and personalized skills.
Automates the end-to-end release pipeline for plugins using semantic versioning and conventional commit standards.
Automates the manipulation, extraction, and conversion of PDF, Word, Excel, and PowerPoint documents using specialized libraries and best practices.
Verifies MDT tool adapters and local workflow contracts to ensure environment readiness without requiring live model calls.
Optimizes SQLite performance and concurrency in Python applications using WAL checkpointing and stateful batch connections.
Automatically creates a specialized team of project-aware Claude Code agents by analyzing your codebase's architecture and technology stack.
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.
Orchestrates a systematic Test-Driven Development cycle using behavioral guidance, semantic code intelligence, and persistent progress tracking.
Optimizes GitHub Actions workflows by analyzing real-world usage patterns and authoritative documentation via the GitHub CLI.
Streamlines the Python library release lifecycle by automating semantic versioning, changelog maintenance, and CI/CD publishing workflows.
Restructures existing code to improve readability, maintainability, and performance without changing external behavior.
Automates the creation of German tax-compliant entertainment expense receipts from restaurant bills, including automatic signature and receipt attachment.
Implements modern React 19 patterns with TypeScript to ensure type safety, performance, and maintainable component architectures.
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