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

TDD enforcement, proof-of-work validation, scope guarding, rigorous reasoning, and research-enriched feature review with RICE/WSJF/Kano scoring

Skill authoring, hook development, evaluation frameworks, and escalation governance for the Claude Code plugin ecosystem

Architecture paradigm selection and implementation planning: 14 paradigms from functional-core to hexagonal to microservices

Spatial knowledge organization with memory palace techniques: build, navigate, and maintain virtual memory structures with PR review capture

Full-cycle project development: brainstorm, specify, plan, initialize, execute, and polish with war-room deliberation for strategic decisions

Delegate tasks to external LLMs (Gemini, Qwen) with cheapest-capable model selection while retaining strategic oversight

Foundation infrastructure: auth flows, quota management, error patterns, markdown formatting, trust verification, and injection detection

Behavioral rules engine: create safety hooks through markdown configuration with pattern matching and zero-code rule authoring

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