Agent Skills Hub

context-optimization

Optimize agent context windows through KV-caching, observation masking, summarization-based compaction, and context partitioning to reduce costs and latency.

lading-optimize-submit

Automates the submission workflow for lading performance optimizations, including branch management, git commits, and PR creation.

ReasoningBank with AgentDB

Implement ReasoningBank adaptive learning with AgentDB's ultra-fast vector backend. Features trajectory tracking, verdict judgment, memory distillation, and pattern recognition for self-learning autonomous agents.

performance-optimization

Optimize Node.js performance via Redis caching, clustering, profiling, and monitoring to build fast, scalable, and efficient backend services.

order-troubleshooting

Handles order tracking, delivery status inquiries, and troubleshooting for lost, damaged, or incorrect items.

python-plan-optimization

6-phase read-only Python analysis workflow that identifies design principle violations, code smells, and modernization opportunities based on specific project types (POC to Open Source).

convoy

Manage batch work tracking and dispatch with Gas Town's convoy system for multi-agent orchestration.

ui-design-review

Gemini-powered UI design review, accessibility auditing, and design system validation tool for software agents.

worker-integration

Intelligent orchestration for dispatching tasks to specialized background agents with performance-based routing and execution tracking.

spawn-decision

A specialized decision-making agent for complex architectural choices, task planning, and error resolution within the orchestration system.

ReasoningBank Intelligence

Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement in AI agents.

log-debug-issue

Maintain a structured DEBUG_LOG.md for recording bugs, debugging processes, and solutions to ensure project stability and knowledge retention.