Browse The Skill Store

Architects the right retrieval strategy for every query — teaching your agent when to use RAG, a knowledge graph, or a temporal index instead of defaulting to vector search for everything.

Published AI benchmarks measure brains in jars. They test models in isolation or within a single reference harness — and then attribute all performance to the model. This skill teaches you to decompose agent performance into its two actual components: model capability and harness multiplier. The result is evaluations that predict real-world behavior instead of benchmark theater.

Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.

Multi-platform content generator for Chinese social media platforms

Evaluates AI coding agent platforms across five structural dimensions that determine real-world performance independently of model quality, so teams select on architectural fit rather than benchmark scores.

Automatically detect, load, and stack the perfect skills combo for any user request.

Cross-platform content repurposer for Chinese social media. One piece of content, multiple platform-native versions.

agent handoff orchestrator (for hermes agent / openclaw)

by Roy Yuen

Free

Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.

RAG fails quietly. It retrieves documents, returns confident-looking answers, and misses the question entirely — because the question required connecting facts across documents, reasoning about sequence, or tracing causation. This skill gives you a five-question diagnostic checklist that classifies any failing query as either RAG-safe or structurally RAG-incompatible, then maps it to the specific failure pattern and the architectural fix that resolves it.

Turn your AI agent into a coordinator that manages parallel subagents for complex coding and research tasks.

Coordinate specialized AI agent roles for complex planning, implementation, and verification workflows.

Eliminate hallucinations and errors using double-blind, multi-agent adversarial verification loops.

Transform Claude Code into a coordinated multi-agent system. Battle-tested tmux orchestration patterns, YAML task queues, event-driven communication, and parallel worker management for 8+ agents.

A multi-stage, evidence-grounded academic review agent modeled on the AAAI-26 AI Review Pilot research.

agent workflow controller

by Roy Yuen

Free

Design and audit complex multi-agent workflows with rigorous ownership, evidence gates, and failure recovery policies.

Stop burning expensive model tokens on repetitive subtasks. This skill delegates mechanical work to cheaper models and writes handoff snapshots so you never lose context switching between sessions.

Generate professional AI videos from text or images using Kling v1.6 and fal.ai with automated queue management.

A universal, multi-role AI engineering team for autonomous planning, implementation, and rigorous code review.

Bridge OpenCode to the Agensi marketplace to discover and install AI agent skills via MCP.

Convert text to lifelike, expressive speech using the ElevenLabs Multilingual v2 API.

a2a skill mesh

by Roy Yuen

$8

Design, validate, and orchestrate A2A-compliant multi-agent systems using artifact-driven Mesh Flow DAGs.

Intelligently delegate tasks to Claude, Codex, or Gemini based on cost, model strengths, and rate limits.

Design deterministic Mesh Flow guardrail topologies and verifier contracts for complex multi-agent AI systems.

a2a agent interoperability launch pack

by Roy Yuen

$7

Turn multi-agent intake into client-ready A2A readiness reports, task contracts, and orchestration topologies.