Agent Skills Hub

skill-engineer

Orchestrates multi-agent iterative refinement for high-quality OpenClaw skill development, ensuring rigorous testing and lifecycle management.

Swarm Orchestration

Orchestrate multi-agent swarms using agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Ideal for building distributed AI systems and scaling complex development workflows.

claude-rag-skills

A suite of professional tools for auditing, evaluating, chunking, and scaffolding production-ready RAG pipelines within Claude Code.

hipocampus-flush

Manually triggers a Hipocampus memory flush to persist current session context to raw logs and initiate the compaction tree process for long-term agent memory maintenance.

markdown-token-optimizer

Analyzes markdown files to identify token-wasting patterns, providing actionable suggestions to optimize documentation for LLM consumption and token efficiency.

doc-coauthoring

A structured workflow for co-authoring documentation, technical specs, and proposals, guiding users through context gathering, collaborative refinement, and reader verification.

Data Optimizer Pro

A security scanner for Claude Skills to detect malicious code, data exfiltration risks, and unauthorized system access before installation.

scope-options

Plan mode on steroids. Push engineers to think with a product mindset before building with structured intake and concrete technical options.

mcp-research

Retrieve current, source-backed technical information using MCP tools to resolve queries about libraries, APIs, SDKs, and evolving tech ecosystems.

shadcn-ui

Implement shadcn/ui components: installation, Vite/TanStack Router configuration, CLI command management, and Tailwind CSS integration.

taide-botrun

A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.

find-skills-combo

Discover and recommend combinations of agent skills to complete complex, multi-faceted tasks using Maximum Quality or Minimum Dependencies strategies.