athola

Skill synchronization and management tools for Claude Code, Codex, and GitHub Copilot

claude-night-market

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

25 MCP tools for skill validation, sync, intelligence, and tracing across Claude Code, Codex, and Copilot

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