Manus Skills for Agents & Orchestration

Give AI agents the ability to trace decision chains, reconstruct causal sequences, and reason over complex event timelines spanning months or years.

Builds the organizational memory schema your AI agent needs to answer why — capturing decision provenance, causal chains, and event context that embedding-based retrieval permanently discards.

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.

prompt engineer

by Roy Yuen

Free

Professional prompt engineering patterns for building robust, secure, and production-ready LLM applications.

Turn your AI agent into a senior engineer with strict task classification and verification-driven coding protocols.

The "Skill for building Skills": Automate creating, testing, and optimisation of custom workflows.

ai productivity

by Roy Yuen

Free

High-speed intake for shaping vague prompts, triaging complex tasks, and compressing context for efficient execution.

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

Ultra-fast discovery and routing for large-scale AI agent skill libraries.

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.

Eliminate hallucinations with an evidence-first verification framework for system state, configs, and file contents.

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.

notebooklm integration

by Timoranjes

$9

Automate Google NotebookLM: create notebooks, add sources, and generate AI audio/podcasts via Python or CLI.

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

A production-grade 5-stage subagent dispatch chain to catch bugs and secure solo SaaS deployments.

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.

Transform repetitive, messy prompts into structured, reusable SKILL.md files for your AI agents.

A risk-aware, evidence-based engineering lifecycle protocol for robust agentic task execution and safety.

Autonomous research and task loop that builds on previous findings to solve complex objectives while you sleep.

Professional prompt engineering, audit, and evaluation system for production-grade AI agents and workflows.

Reduce Manus v5 credit consumption by 30-75% through intelligent task routing and autonomous strategy selection.

Python CLI and reusable client for one-shot chat and SSE streaming via the Felo Open Platform.

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

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