Agent Skills Hub

getting-started-guide

A structured guide for novelists to navigate the seven-step writing process, from constitution and specification to planning, tasking, drafting, and quality analysis.

bear-notes

Manage and automate your Bear notes on macOS using the grizzly CLI tool.

agents-md-generator

Generate hierarchical, token-efficient AGENTS.md files for AI coding agents to provide repository-wide context and project-specific guidelines.

nano-banana

Automate Python scripting and Gemini-powered image generation using uv. Ideal for creating art, editing images, and running ad-hoc scripts.

receiving-code-review

Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.

testing-anti-patterns

Enforce high-quality testing practices by identifying and preventing common anti-patterns like mock-testing, test-only production code, and incomplete dependency mocking.

Frontend Components

Standardized configuration and management for Django production server and worker processes.

quality-metrics

Automate quality observability with DORA metrics, defect density tracking, and intelligent quality gate configuration for continuous delivery pipelines.

upgrade-flake

Updates flake.lock to pull in the latest versions of Nix flake inputs without performing a full NixOS system release upgrade.

debugging-strategies

Language-agnostic debugging framework: scientific method, stack trace analysis, logging strategies, and advanced techniques like Git bisect and rubber ducking.

swarm

Orchestrate parallel Claude Code worker swarms with protocol-based behavioral governance for complex features, multi-step refactors, and long-running autonomous coding sessions.

context-driven-testing

Apply context-driven testing principles to adapt testing strategies based on project goals, risks, and constraints rather than relying on universal best practices.