Guide interactive research and POC creation to understand features deeply. This skill should be used when planning to implement a new feature and needing to research design patterns, understand integration points in the codebase, consult documentation via MCP Deep Wiki, or create minimal POCs to validate concepts. Can receive CDC.md from feature-specification as input for clear requirements.
Build Model Context Protocol (MCP) servers with best practices. Generate production-ready MCP servers in Python or TypeScript with tools, resources, and prompts.
Holarchic reasoning framework implementing λ-calculus over simplicial complexes. Entities (ο) transform through operations (λ) toward terminals (τ) via the universal form λο.τ. Persistent homology captures multi-scale structure; sheaf theory ensures local-to-global consistency. Use when knowledge requires: (1) homoiconic self-reference where structure mirrors content, (2) scale-invariant holonic decomposition, (3) topological invariants preserved across transformations, or (4) formal Lex-style axiom systems over property graphs.
Check Arbtr for architectural decisions before scaffolding features, adding npm dependencies, refactoring code, or making architectural changes. Use this skill when the user asks to add new features, install libraries, modify system architecture, or restructure code. Requires the Arbtr MCP server to be configured.
MCP (Model Context Protocol) server building principles. Tool design, resource patterns, best practices.
Use Neo4j memory MCP for creating/updating linked memories (entities, relations), de-duplication (DRY), and retrieval queries for project continuity. Use when saving global learnings or querying graph relationships.
Copilot agent for cloud architecture design, AWS/Azure/GCP configuration, IaC code generation (Terraform/Bicep), and cost optimization Trigger terms: cloud architecture, AWS, Azure, GCP, cloud infrastructure, IaC, Terraform, CloudFormation, cloud design, serverless, cloud migration Use when: User requests involve cloud architect tasks.
Modernize legacy code safely in ANY project without breaking existing functionality. Use when working with old code that needs updating while maintaining stability.
Modernize legacy code safely in ANY project without breaking existing functionality
Automated content discovery workflow for scanning multiple data sources (ArXiv, GitHub, HuggingFace), applying AI-powered semantic filtering and deduplication, analyzing content quality, downloading images, and publishing to multiple channels (Hexo blog, Telegram, Discord). Use this skill when: - Executing /discover command with task configurations - Scanning academic papers from ArXiv (via MCP or WebSearch) - Finding GitHub repositories or HuggingFace models - Applying semantic AI filtering to avoid duplicate content - Generating high-quality Chinese summaries and insights - Publishing structured content with metadata tracking This skill handles the complete end-to-end discovery pipeline including data source detection, content filtering, quality validation, image extraction, and multi-channel publishing.
Docker MCPでコンテナ操作（起動/停止/ログ）を会話で実行する設計。実行系タスクの安定化で使う。
Modernize legacy code safely in ANY project without breaking existing functionality
Maximally Endowed Graph Architecture — λ-calculus over bounded n-SuperHyperGraphs with grounded uncertainty, conditional self-duality, and autopoietic refinement. Use when (1) simple graphs insufficient (η<2), (2) multi-scale reasoning required, (3) uncertainty is structured not stochastic, (4) knowledge must self-refactor. Pareto-governed: complexity added only when simpler structures fail validation.
AI-powered enterprise MCP (Model Context Protocol) server orchestrator with intelligent plugin management, predictive optimization, ML-based performance analysis, and Context7-enhanced integration patterns. Use when creating smart MCP systems, implementing AI-driven plugin discovery, optimizing MCP performance with machine learning, or building enterprise-grade server architecture with automated compliance and governance.
Advanced diagnostic workflow for bug-fixer agent with mandatory Context7 MCP consultations, Chrome DevTools MCP integration, and systematic root cause analysis across all Clean Architecture layers.
Copilot agent that assists with CI/CD pipeline creation, infrastructure automation, Docker/Kubernetes deployment, and DevOps best practices Trigger terms: CI/CD, DevOps, pipeline, Docker, Kubernetes, deployment automation, containerization, infrastructure automation, GitHub Actions, GitLab CI Use when: User requests involve devops engineer tasks.
This skill should be used when setting up a stateless MCP (Model Context Protocol) server in FastAPI using the Official MCP SDK with 5 task management tools that interact with SQLModel database.
Designs comprehensive Zod schemas for MCP tool inputs and API responses, ensuring type safety, clear validation error messages, and security through input sanitization patterns.
Use when Codex needs to query Supabase Postgres, manage auth, or trigger Edge Functions via the Supabase MCP server.
MCPサーバー開発を支援します。プロトコル準拠、Pydanticスキーマ設計、Playwright統合のベストプラクティスを提供します。
