
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
One-time purchase · Own forever
See it in action
## 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
One-time purchase · Own forever
⚡ Also available via Agensi MCP — your AI agent can load this skill on demand via MCP. Learn more →
Included in download
- Downloadable skill package
- Instant install
See it in action
## 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.
📖 Learn more: Best DevOps & Deployment Skills for Claude Code →
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.
How to Install
unzip agent-handoff-orchestrator.zip -d ~/.claude/skills/Reviews
No reviews yet — be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
No reviews yet — be the first to share your experience.
Only users who have downloaded or purchased this skill can leave a review.
Security Scanned
Passed automated security review
Permissions
No special permissions declared or detected
Frequently Asked Questions
Learn More About AI Agent Skills
Similar Skills
git-commit-writer
Writes conventional commit messages by analyzing your staged git changes. Detects commit type, scope, and breaking changes automatically.
env-doctor
Diagnoses why your project will not start. Checks runtime versions, dependencies, environment variables, databases, ports, and build artifacts systematically.

ai-productivity
High-speed intake for shaping vague prompts, triaging complex tasks, and compressing context for efficient execution.
deep-research-team
Deploy a hierarchical team of AI agents to perform 15-30 minute deep-dive research with parallel execution.