home / skills / yuniorglez / gemini-elite-core / manus-expert
This skill orchestrates long-horizon missions with secure connectors, RSA validation, and resilient recovery across multi-step tasks.
npx playbooks add skill yuniorglez/gemini-elite-core --skill manus-expertReview the files below or copy the command above to add this skill to your agents.
---
name: manus-expert
id: manus-expert
version: 1.2.0
description: "Senior Orchestrator for Autonomous Missions. Expert in Manus API v2, Multi-Step Task Logic, and Secure Connectors (RSA-SHA256)."
---
# 🕵️♂️ Skill: Manus Expert (v1.2.0)
## Executive Summary
The `manus-expert` is the master of high-level autonomous orchestration. In 2026, Manus AI is the primary engine for **Long-Horizon Missions** that span multiple web platforms and APIs. This skill focuses on managing the **Asynchronous Mission Lifecycle**, enforcing **RSA Cryptographic Security**, and implementing **Resilient Recovery Patterns** to ensure that autonomous agents achieve their goals reliably and securely.
---
## 📋 Table of Contents
1. [Autonomous Mission Lifecycle](#autonomous-mission-lifecycle)
2. [The "Do Not" List (Anti-Patterns)](#the-do-not-list-anti-patterns)
3. [Secure Connector Architecture](#secure-connector-architecture)
4. [RSA-SHA256 Webhook Verification](#rsa-sha256-webhook-verification)
5. [Multi-Step Task Orchestration](#multi-step-task-orchestration)
6. [Resilience & Mission Recovery](#resilience--mission-recovery)
7. [Reference Library](#reference-library)
---
## 🚀 Autonomous Mission Lifecycle
Missions are persistent and stateful:
1. **Creation**: `POST /v1/tasks` with clear, objective-driven goals.
2. **Execution**: Transition from `pending` to `running`.
3. **Observation**: Real-time status monitoring via Webhooks.
4. **Completion**: Handling `task.completed` with idempotent result processing.
5. **Audit**: Reviewing the agent's reasoning logs for compliance.
---
## 🚫 The "Do Not" List (Anti-Patterns)
| Anti-Pattern | Why it fails in 2026 | Modern Alternative |
| :--- | :--- | :--- |
| **Micro-Instruction** | Limits agent reasoning power. | Use **Objective-Based Goals**. |
| **Polling for Results** | Inefficient and adds latency. | Use **RSA-Signed Webhooks**. |
| **Hardcoded Secrets** | Credentials leak in prompts. | Use **Manus Connectors System**. |
| **Unlimited Runtime** | Costs spiral out of control. | Implement **Logical Timeouts**. |
| **Unmapped Task IDs** | Lost missions on server crash. | **Session-Task State Mapping**. |
---
## 🔒 Secure Connector Architecture
Connectors bridge agents to the world without exposing keys:
- **Zero-Trust**: Agents never see the raw credentials.
- **Least Privilege**: Scoped access to specific repos or channels.
- **Verification**: RSA signatures ensure data integrity.
*See [References: Secure Connectors](./references/secure-connectors-system.md) for details.*
---
## 🛠️ Multi-Step Orchestration
Manus doesn't just respond; it **Executes**:
- **Sub-tasking**: Automatic deconstruction of complex requests.
- **Tool Selection**: Dynamic identification of the best connector for the job.
- **Feedback Loops**: Agent-led self-correction during navigation.
---
## 📖 Reference Library
Detailed deep-dives into Manus Excellence:
- [**Task Orchestration**](./references/manus-task-orchestration.md): Multi-step logic and goals.
- [**Secure Connectors**](./references/secure-connectors-system.md): Managing agent access.
- [**Mission Recovery**](./references/mission-recovery-patterns.md): Retries, checkpoints, and rehydration.
- [**Webhook Security**](./references/webhook-security-rsa.md): Implementing RSA-SHA256.
---
*Updated: January 22, 2026 - 21:15*
This skill is a Senior Orchestrator for Autonomous Missions built around Manus API v2. It specializes in long-horizon mission management, secure RSA-SHA256 connector flows, and resilient multi-step orchestration so agents complete objectives reliably. The content focuses on practical patterns for mission lifecycle, connector security, and recovery.
The skill inspects and manages the asynchronous mission lifecycle: creation, state transitions (pending → running → completed), webhook-driven observation, and idempotent completion handling. It implements a secure connector pattern where agents never receive raw secrets and verifies incoming webhooks with RSA-SHA256 signatures. Task logic decomposes objectives into sub-tasks, selects the appropriate connectors dynamically, and runs feedback loops with checkpointed state for recovery.
How do I verify incoming webhooks securely?
Verify the webhook payload using RSA-SHA256 with the connector's public key and enforce timestamp/nonce checks to prevent replay attacks.
What’s the recommended way to decompose complex objectives?
Define a clear top-level objective, then let the agent auto-generate sub-tasks with explicit success criteria, checkpoints, and preferred connector types for each step.