Agent Skills Hub

session-logs

Search, analyze, and audit GeminiClaw session logs and memory. Use to investigate past interactions, track token usage, debug tool calls, and monitor agent performance.

code-quality-review

Holistic, multi-dimensional code review skill providing prioritized, actionable feedback on correctness, security, performance, design, and accessibility.

ReasoningBank Intelligence

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

model-registry-maintainer

Maintain and update the MassGen model registry, including backend capabilities, model metadata, pricing structures, and context window configurations for new and existing AI models.

airiot-frontend

Official AIRIOT development toolkit for building React applications with TypeScript, shadcn/ui, and integrated real-time platform capabilities.

langgraph-workflows

Master multi-agent orchestration with LangGraph. Build stateful, fault-tolerant AI workflows using supervisor-worker patterns, conditional routing, and advanced state management.

rust-async-patterns

Master Rust async programming with Tokio, including tasks, channels, streams, error handling, and production-grade concurrency patterns.

mcp-cli

A command-line interface for the Model Context Protocol (MCP) to discover, inspect, and execute tools from MCP servers directly in your terminal.

Global Documentation

Ensures adherence to standardized global documentation patterns for technical projects, maintaining consistency across repositories and agent-based workflows.

wm-git-worktree-manager

Efficiently manage git worktrees with automated file synchronization, background task execution, and CLI-based workspace orchestration.