Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+21 more

    agent-handoff-orchestrator (for hermes agent / openclaw)

    3

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

    Free

    59 uses5.0 (1 review)
    agent-handoff-orchestrator (for hermes agent / openclaw)

    agent-handoff-orchestrator (for hermes agent / openclaw)

    Example session with this skill installed

    Generate a compact handoff packet for a coder to add JWT validation to the auth middleware, noting that the RSA key is in secrets.

    • Read your context and instructions
    • Compiled the agent-handoff-orchestrator for hermes

    Mission

    Implement JWT validation in the auth middleware.

    Current State

    • Verified: User service returns 401 on missing tokens.
    • Assumption: The RSA public key is in /etc/secrets/pub.pem.

    Boundaries

    • In scope: middleware/auth.js
    • Do not touch: Any database connection logic.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    What it does

    The Agent Handoff Orchestrator is a specialized skill designed to solve the "context collapse" problem in multi-agent workflows and long-running sessions. It generates high-density, structured handoff packets that allow work to move seamlessly between AI agents, human operators, or future sessions without losing progress or requiring rediscovery of facts.

    Why use this skill

    Standard LLM prompts often lead to "drift" when tasks are delegated. This skill enforces a rigorous engineering standard for state transfer by defining clear authority boundaries, separating verified facts from assumptions, and establishing strict return contracts. It ensures that the receiver—whether it's a coder, reviewer, or QA agent—can begin productive work in under one minute with zero ambiguity.

    Supported Workflows

    • AI-to-AI delegation (Implementation, Research, Security)
    • AI-to-Human escalation (Approvals, Risky decisions)
    • Session-to-Session persistence (Context compression)
    • Failure Recovery (Root cause analysis and repair handoffs)

    The output is a structured Markdown packet optimized for LLM comprehension, featuring explicit mission statements, scope constraints, and observable success criteria.

    • Generates text packets only; does not execute code or trigger subagents.
    • Context richness depends on user-provided state.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before any payment.

    Reviews

    5.0
    1 review
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    This skill has been used 59 times.

    Trust & safety

    Security scan

    Security scan passed 6 months ago

    • Free with an Agensi account

    Permissions

    No special permissions declared or detected

    Listed6 months ago

    What's inside

    Frequently Asked Questions

    This skill solves "context collapse" by generating high-density, structured handoff packets that preserve every nuance of a session, preventing the 'drift' or loss of information that typically happens when tasks move between different agents or human operators.

    The skill is purpose-built for the Hermes agent and OpenClaw framework, but it generates standardized Markdown packets that are highly compatible with any LLM-based agent capable of parsing structured text deliverables.

    Connect your AI agent to Agensi through MCP, then ask it to use agent-handoff-orchestrator (for hermes agent / openclaw) on your task. Your agent loads the latest approved version each time. Paid skills require a purchase or active subscription. Skill files are not available for download; your licence does not allow you to save, copy or export any part of a skill.

    Each packet includes an explicit mission statement, a clear boundary between verified facts and assumptions, scope constraints, and observable success criteria to ensure the receiving agent knows exactly what to do.

    You receive the production-ready skill definition for Hermes/OpenClaw, a detailed documentation guide on implementation patterns, and access to all future version updates and optimizations of the handoff schema.

    New in Agents & Orchestration