Performs comprehensive health assessment of Kubernetes cluster infrastructure, including node status, pod health, system components, and resource utilization to quickly identify issues and bottlenecks.

An internal cognitive engine for quantitative root cause analysis using Bayesian inference. Helps weigh competing hypotheses, prevent anchoring bias, and determine the most efficient diagnostic steps through probabilistic reasoning.

Generates automation scripts for repetitive tasks in multiple languages (Shell, Python, PowerShell, Node.js). Automates file operations, data processing, API integration, CI/CD, backups, monitoring, and report generation with error handling and scheduling support.

Implementation guide for X-Trend (Cross Attentive Time-Series Trend Network), combining LSTM encoders, multi-head attention mechanisms, and few-shot learning for trend-following trading strategies with interpretable predictions.

A deterministic effects engine that applies chronicle events to world state entities. Handles battle outcomes, treaties, agent deaths, and other events to modify entity attributes like force strength, relationships, and agent status in simulation.

A creative assistant for maintaining canonical lore of imaginary countries through git-managed markdown repositories. Helps create countries, historical events, character biographies, and ensures internal consistency across fictional world-building content.

Exports conversation session logs to structured markdown files for development reproducibility. Captures user inputs, AI responses, and confirmation requests with timestamp prefixes in Asia/Tokyo timezone.

Automatically captures and documents repository structure, design decisions, and implicit rules discovered during development sessions. Records gaps between AI inference and actual user knowledge to identify areas needing better documentation.

Validates registry APIs (PyPI, npm, crates.io) and detection algorithms for package security monitoring. Ensures API endpoints work correctly, detection signals are effective, and maintains low false positive rates while identifying suspicious packages.

Generate various UML diagrams including class, sequence, ER, flowchart, and state diagrams using Mermaid and PlantUML. Supports interactive visualization, multiple export formats, and real-time editing for software architecture and system design documentation.

Deep multi-framework reasoning tool using Gemini for complex problem analysis, idea evaluation, and decision-making through structured thinking frameworks like First Principles, Systems Thinking, and Pre-Mortem analysis.

A specialized skill for investigating and validating Terraform provider documentation quality on registry.terraform.io using Chrome DevTools. Enables systematic inspection of documentation rendering, version availability, resource navigation, and quality benchmarking against the Azure RM gold standard.

A type-safe query builder and entity pattern library for Supabase that provides fully typed queries, CRUD operations, error handling with TaskOutcome, and support for soft deletes and multi-tenancy.

A workflow automation skill for querying Supabase Postgres databases, managing authentication, and triggering Edge Functions through MCP server integration. Provides structured processes for safe data operations with built-in verification and audit trails.

Validate WebSocket and HTTP stream health for WaveCap-SDR channels. Measures streaming metrics including latency, throughput, packet loss, and audio quality to diagnose streaming issues and verify audio/spectrum delivery performance.

Manage staff-to-institution mapping tables for vehicle insurance platforms. Handles Excel to JSON conversion, detects name conflicts, validates data coverage, and maintains version control for business staff assignments.

A comprehensive toolkit for creating, analyzing, and formatting spreadsheets programmatically using Python libraries like pandas, openpyxl, and xlsxwriter. Enables Excel file manipulation, formula generation, pivot tables, charts, and data analysis techniques.

Comprehensive backend REST API integration for Asleep sleep tracking platform. Covers server-side user management, session data retrieval, statistics aggregation, webhook event handling, and production-ready patterns for building robust sleep tracking backends with Python and Node.js.

Explore problems from multiple perspectives through structured role-playing techniques including Six Thinking Hats, Stakeholder Roundtable, and Persona Analysis. Helps uncover hidden insights by systematically adopting different viewpoints.

Expert analysis workflow for triaging KICS Infrastructure as Code scan results to identify exploitable misconfigurations. Automatically extracts findings, verifies actual resource deployment using safe read-only operations, and distinguishes between IaC reconnaissance and real vulnerabilities.

Deep code and system analysis using Quantum Cognitive OS with multi-dimensional reasoning. Analyzes complex codebases, architectures, security, and performance through semantic, relational, causality, and temporal lenses with persistent learning.

A library built on PyTorch for implementing Graph Neural Networks (GNNs). Provides MessagePassing layers, modular aggregation schemes, and efficient mini-batching for handling large graphs through disjoint graph representation.

Expert guidance for Python Optimization Modeling Objects (Pyomo), covering linear/nonlinear programming, mixed-integer optimization, dynamic systems with differential equations, constraint programming, and solver integration with GLPK, IPOPT, Gurobi, and CPLEX.

Provides comprehensive overview and statistics for Babylon.js first-person game projects, including codebase metrics, file counts, project structure, code health checks, dependency analysis, and recent activity tracking.

Run dlt pipelines and Temporal workflows to sync data from multiple sources (Everflow, Redtrack, S3, PostHog, Mautic, Google Sheets). Supports scheduled execution, real-time triggering, status monitoring, and debugging for data ingestion workflows.

Systematic performance optimization framework for diagnosing bottlenecks, measuring improvements, and implementing optimizations with measurable results. Auto-triggers on slowness keywords and provides structured 6-phase workflow.

Expert performance analysis and optimization across frontend, backend, and database layers. Provides profiling, bundle size reduction, query optimization, caching strategies, and algorithm improvements to enhance application speed and efficiency.

Programmatically create, edit, and design PDF documents using Python libraries like ReportLab and PyPDF. Generate reports, fill forms, merge/split files, and customize layouts with code examples and command-line tools.

Universal functions for vectorized element-wise operations on NumPy arrays, supporting broadcasting, type casting, reductions, accumulate operations, and custom function wrapping for high-performance mathematical computations.

A strategic product development partner that analyzes MVP codebases, clarifies product goals, recommends prioritized improvements using ICE framework, and implements features end-to-end. Guides users through codebase analysis, goal clarification, priority matrix generation, implementation planning, and execution.