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- agent-handoff-orchestrator (for hermes agent / openclaw)
Works with the AI tools you already use
agent-handoff-orchestrator (for hermes agent / openclaw)
Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.
Free
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.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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