Agent Skills Hub

hive

Automate GitHub issue triage by analyzing reports against the codebase, verifying technical claims, and providing expert-driven responses to resolve invalid issues.

backend-rag-implementation

Build RAG systems to ground LLMs in proprietary data. Includes vector database integration, embedding strategies, hybrid search, and advanced retrieval patterns for FastAPI backends.

synthesizer

Synthesizes multi-agent research findings into coherent, citation-backed reports, resolving contradictions and identifying consensus.

react

React component development guide for LobeHub, including styling with antd-style, layout building with @lobehub/ui, and routing management.

blogwatcher

Monitor and track updates from blogs, RSS, and Atom feeds directly using the blogwatcher CLI within your OpenClaw assistant.

Investigating Code Patterns

Systematically trace code flows, locate implementations, diagnose performance issues, and map system architecture to understand complex codebases.

ragcode-sse

Directly interface with RagCode MCP via SSE protocol without complex configuration files or binary dependencies.

orchestrate

Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.

code-review-netsync

Automated code review for STYLY-NetSync, enforcing protocol parity, thread safety, and Unity C#/Python conventions.

senior-data-engineer

World-class senior data engineering skill for building scalable data pipelines, ETL/ELT systems, and modern data infrastructure using Python, Spark, dbt, and Kafka.

ai-llm-patterns

Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.

cascade-orchestrator

Advanced workflow orchestration for AI agents, featuring multi-model routing, Codex sandbox iteration, parallel swarm execution, and persistent memory across complex pipelines.