Add the marketplace
/plugin marketplace add athola/claude-night-marketInstall plugins
/pluginRun these commands in Claude Code to add this plugin to your environment. The marketplace must be added before you can install its plugins.
Codebase learning through knowledge extraction, adaptive challenges, and spaced repetition for developer onboarding and fluency
Standalone notification system: GitHub issue alerts and webhook support for Slack, Discord, and generic endpoints.
ONNX Runtime inference daemon for ML-enhanced plugin capabilities with local model inference over HTTP and opt-in activation
Skill authoring, hook development, evaluation frameworks, and escalation governance for the Claude Code plugin ecosystem
Full-cycle project development: brainstorm, specify, plan, initialize, execute, and polish with war-room deliberation for strategic decisions
Architecture paradigm selection and implementation planning: 14 paradigms from functional-core to hexagonal to microservices
Delegate tasks to external LLMs (Gemini, Qwen) with cheapest-capable model selection while retaining strategic oversight
Behavioral rules engine: create safety hooks through markdown configuration with pattern matching and zero-code rule authoring
TDD enforcement, proof-of-work validation, scope guarding, rigorous reasoning, and research-enriched feature review with RICE/WSJF/Kano scoring
Foundation infrastructure: auth flows, quota management, error patterns, markdown formatting, trust verification, and injection detection
Spatial knowledge organization with memory palace techniques: build, navigate, and maintain virtual memory structures with PR review capture
GitHub issue management, label taxonomy, and initiative tracking: turns repositories, issues, and projects into status dashboards
Python development suite: testing, performance optimization, async patterns, and packaging guidance
Multi-discipline code review: architecture, bugs, APIs, security, tests, Makefiles, and NASA Power of 10 analysis
Computer use toolkit for driving desktop environments through Claude's vision and action API with screenshot capture, mouse/keyboard control, and an autonomous agent loop
Git workflows: commit messages, PR preparation, documentation updates, version management, sessions, and deferred-item capture
Documentation review, cleanup, and generation with AI slop detection, style learning, and human-quality writing enforcement
Media generation: terminal recordings (VHS), browser recordings (Playwright), GIF processing, and media composition
Specification-driven development: structured specs, implementation planning, and task orchestration for systematic feature delivery
Autonomous agent orchestrator: parallel worktree execution, agent specialization, cross-item learning, and crash recovery
Multi-source research: code archaeology, community discourse (HN, Reddit), academic literature (arXiv, Semantic Scholar), and TRIZ cross-domain analysis
Context optimization, bloat detection, CPU/GPU monitoring, and token conservation for efficient Claude Code sessions