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

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

    by Roy Yuen

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

    11 developers installed this skill·Updated Jun 2026
    11 installs
    207 views

    Free

    Included in download

    • Downloadable skill package
    • Works with Compatible with Hermes, OpenClaw
    • Instant install

    Sample input

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

    Sample output

    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.

    Screenshots

    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.

    Use Cases

    • Compress long session context into a concise "next-step" packet for later.
    • Delegate a specific bug fix to a sub-agent with strict file boundaries.
    • Format a decision request for a human operator including risks and options.
    • Generate a repair mission after a tool failure to isolate the root cause.

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    Security Scanned

    Passed automated security review

    Permissions

    No special permissions declared or detected

    Compatible with Hermes, OpenClaw, and SKILL.md-compatible agents.

    Creator

    Frequently Asked Questions

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