Explore our collection of Agent Skills to enhance your AI workflow.
Analyzes Prometheus metrics and alerts to identify root causes of production issues using PromQL and time-series data interpretation.
Reorganizes project documentation into an intent-based structure to improve discoverability and developer productivity.
Evaluates Clojure code via nREPL to verify compilation, test function behavior, and manage interactive development sessions.
Builds, validates, and optimizes reusable AI agent skills for Claude Code and other AI assistants.
Streamlines the creation of kernel integration tests for Breenix using shared QEMU instances and serial checkpoint signals.
Creates production-grade frontend interfaces with a focus on accessibility, visual craft, and modern design patterns.
Performs comprehensive, structured code reviews on Git commits by analyzing changes, tracing side effects, and categorizing findings by severity.
Designs and troubleshoots internal character transformation journeys to ensure compelling, earned narrative growth.
Guides the creation and optimization of specialized Agent Skills to extend Claude's capabilities with domain-specific workflows and knowledge.
Generates standardized contributor guides for AI agents by analyzing repository structure and code patterns.
Evaluates the validity and rigor of research, claims, and logical arguments using a structured eight-phase framework.
Automates project documentation by updating implementation logs and task checklists within feature plan files.
Queries and manipulates biological and medical ontologies using the powerful OAK library for complex semantic operations.
Automates visual regression testing and UI verification through screenshots, responsive viewport analysis, and design-to-code comparisons.
Debugs live Node.js backend processes using non-blocking tracepoints and real-time state inspection.
Optimizes task delegation by identifying the most suitable specialized agent based on task complexity, technology, and context.
Facilitates high-quality academic literature reviews following the PRISMA standard and PROSPERO protocol guidelines.
Sets up standardized project environments for seamless AI-assisted development across Claude Code, Codex CLI, and Gemini CLI.
Enhances LLM compliance by replacing imperative instructions with deterministic boolean decision trees for high-stakes workflows.
Automatically surfaces feature requirements, design specs, and implementation plans to keep development tasks aligned with project goals.
Enables fast, iterative kernel debugging by executing time-bounded sessions with automated signal detection and real-time log monitoring.
Analyzes web page performance using Core Web Vitals and network timing metrics to optimize load times and user experience.
Analyzes and parses log files to identify patterns, extract errors, and troubleshoot application behavior using advanced filtering and search tools.
Analyzes single-cell omics data using deep generative models for tasks like batch correction, integration, and differential expression.
Monitor, debug, and correlate frontend and backend request flows using OpenTelemetry and browser-native diagnostics.
Generates, validates, and manages production-ready Kubernetes and OpenShift YAML manifests using industry-standard security and operational best practices.
Guides the development and optimization of specialized Claude Code Skills using structured workflows and context-efficient resource management.
Provides a comprehensive C/C++ API reference and implementation patterns for high-performance local LLM inference using llama.cpp.
Provides a comprehensive reference for developing native C extensions and GCL applications within the GreyCat ecosystem.
Automates security assessments, compliance auditing, and infrastructure hardening for Kubernetes and OpenShift clusters.
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