
agent-handoff-orchestrator (for hermes agent / openclaw)
by Roy Yuen
Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.
- 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.
Free
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.
Generate high-fidelity, structured handoff packets for seamless multi-agent collaboration and session persistence.
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.
Known Limitations
- Generates text packets only; does not execute code or trigger subagents.
- Context richness depends on user-provided state.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/agent-handoff-orchestrator -o /tmp/agent-handoff-orchestrator.zip && unzip -o /tmp/agent-handoff-orchestrator.zip -d ~/.claude/skills && rm /tmp/agent-handoff-orchestrator.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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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.
Frequently Asked Questions
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