Source-backed collection for reviewing OAuth-backed and remote MCP servers: protected resource metadata, token audience checks, least-privilege scopes, config privacy, local tool access, and interactive server inspection.

A source-backed collection for reviewing API contracts before release: OpenAPI drift detection, JSON Schema validation, GraphQL schema checks, Spectral lint review, Pact consumer contract verification, and generated clients or stubs from approved specs.

A source-backed Cloudflare collection for building AI apps on the edge: combine Workers, Workers AI, Agents, D1, KV, R2, Wrangler deployment operations, and Cloudflare MCP access with explicit environment and data boundaries.

An automation bundle for keeping project documentation accurate and current: generate docs from code, measure documentation coverage, validate README structure and links, document API endpoints, and publish to a docs site. It pulls together existing hooks and commands into one documentation workflow organized around the Diataxis framework.

A source-backed frontend QA collection for AI-assisted UI work: combine WCAG accessibility checks, Playwright browser automation, Storybook component context, Chrome DevTools inspection, BrowserStack coverage, and test hooks before shipping user interfaces.

An operations bundle for maintainers running a busy GitHub repository: triage failing CI, review pull requests, keep commits and changelogs disciplined, validate workflows and links, and draft release notes. It pulls together existing commands, hooks, and skills into one maintainer workflow grounded in the GitHub Open Source Guides.

A source-backed collection for reproducible data analysis and notebook work: Marimo notebooks, DuckDB analytical SQL, Polars DataFrames, Hugging Face Datasets loading, Great Expectations quality checks, and Streamlit sharing.

A source-backed collection for building repeatable LLM eval and prompt testing workflows with open-source tools: prompt regression tests, RAG and agent metrics, human review datasets, traces, prompt optimization, and release gates.

A source-backed collection for private research workflows: local-first planning, reproducible notebooks, local analytical processing, redaction, human review datasets, trace review, and secret scanning before outputs are shared.

A source-backed collection for keyboard-first Claude power users on macOS: Raycast launcher access, HeyClaude API/MCP/Raycast surface selection, MCP setup, skill installation, reusable slash commands, and Raycast extension development or publishing.

A source-backed Model Context Protocol starter collection for SaaS builders: connect product code, database state, payments, deployment telemetry, issue tracking, and production errors while keeping MCP authorization and tool boundaries explicit.

A defense-in-depth bundle for hardening an agentic Claude Code workstation: block secrets and sensitive data before they are written, verify dependency provenance and known vulnerabilities, review supply-chain risk and run code security audits, and harden MCP tool access against prompt injection. It pulls together existing hooks, commands, rules, and skills into one secure setup, organized around the NIST Secure Software Development Framework.

A source-backed collection for operators running AI services on infrastructure they control: local model runtime, CPU and GPU inference, model gateway, self-hosted MCP access, retrieval storage, model API packaging, container rebuilds, and image security checks.

High-leverage collection for operators building AI-driven products: secure code review, release governance, automation orchestration, skill authoring, growth execution, and Unraid/n8n operational readiness.

Complete toolkit for building and documenting RESTful APIs with automated testing and documentation generation. Perfect for backend developers starting new API projects.

Complete AWS infrastructure management toolkit combining cloud architecture expertise, CloudFormation validation, and AWS services integration. Perfect for teams building and maintaining cloud-native applications on AWS.

Full-featured backend development environment combining architecture planning, database design, and cloud services integration. Perfect for building scalable server-side applications.

Comprehensive suite of tools for maintaining high code quality through automated reviews, testing, and best practice enforcement. Essential for teams focused on code excellence.

Streamlined workflow for content creators and marketers. Manage projects across multiple platforms, design graphics, and automate content distribution with integrated tools.

Comprehensive toolkit for data engineers working with databases, ETL pipelines, and data infrastructure. Includes database design, optimization, and cloud services integration.

Complete debugging toolkit for identifying, analyzing, and resolving complex software issues. Combines AI-assisted debugging with powerful diagnostic commands.

Comprehensive system for ensuring code quality, security, and compliance before production deployment. Includes automated code reviews, complexity monitoring, backup strategies, and production-grade rules for professional development teams.

Maximize your development efficiency with automated workflows, smart backups, code formatting, and enhanced visual feedback. This collection combines productivity hooks, informative statuslines, and time-saving commands for a streamlined development experience.