Agent Skills Hub

k8s-yaml-generator

Generate production-ready Kubernetes manifests including Deployments, Services, CRDs, and more with built-in validation.

analytics-interpretation

Analyze GA4 and GSC performance data with automated benchmarks, status indicators, and actionable content optimization insights.

n8n-integration-testing-patterns

Framework for automated n8n integration testing including API contract validation, authentication flows, rate limit handling, and error scenario coverage.

notion

Connect to the Notion API to create, manage, and query pages, databases, and blocks for your AI-powered knowledge management.

home-assistant-master

Home Assistant OS (HAOS) operations skill for agents. Features read-only diagnostics, automation design, health auditing, and safety-first configuration management.

technical-audit

Technical SEO audit skill for crawlability, indexability, and Core Web Vitals analysis. Use to audit webpages, validate schema, and fix technical performance issues.

excel-auditor

Analyze and audit Excel spreadsheets to understand logic, identify formula errors, detect risks, and generate documentation for legacy or unknown files.

troubleshooting-docs

Automates the documentation of solved technical issues using YAML frontmatter, categorized directories, and institutional knowledge indexing for JUCE plugin development.

orchestration-patterns

Framework for orchestrating long-running agentic tasks, evidence-based delivery, and automated QA gates following Simon Willison's iterative loop.

database-patterns

Expert database design and access patterns: schema architecture, indexing strategies, query optimization, repository patterns, and transaction management for SQL and NoSQL databases.

langchain-architecture

Architect production-grade LLM applications using LangChain 1.x and LangGraph. Implement stateful AI agents, multi-step workflows, and custom memory systems for complex conversational and automation tasks.

polars

High-performance in-memory DataFrame library for Python and Rust. Features lazy evaluation, parallel execution, and an Apache Arrow backend for efficient ETL, data processing, and faster pandas alternatives.