A specialized protocol for transferring conversational context, task states, and project memory between different AI models or agents to ensure zero-loss handoffs.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install model-context-transfer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install model-context-transfer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Model Context Transfer?
Model Context Transfer is a critical utility within Openclaw Skills designed to solve the problem of context loss during AI transitions. When developers switch between different Large Language Models (LLMs) or hand off tasks between specialized agents, this skill ensures that the new model receives a comprehensive summary of project backgrounds, current progress, and key constraints.
By using a structured communication protocol, it bridges the gap between disparate AI environments, maintaining high productivity and technical continuity. It serves as a bridge for both short-term transitions and long-term memory maintenance, ensuring that any model taking over a task can resume work with the same level of insight as the previous one.
Model Context Transfer Use Cases
- Switching between different AI models like MiniMax to GLM without re-explaining project requirements.
- Handing over complex development tasks from one specialized agent to another in a multi-agent system.
- Preserving session state when moving AI interactions between different platforms like QQ or WeChat.
- Mitigating memory loss in long-duration conversations by generating structured snapshots.
- Synchronizing short-term task progress with long-term documentation in persistent storage.
How Model Context Transfer Works
- The system identifies a trigger such as a manual model switch request or the context window reaching 80% capacity.
- The active agent generates a structured CONTEXT_TRANSFER block summarizing the project background and current state.
- Key constraints, file paths, and pending action items are extracted into the structured format.
- The generated context is injected into the new model or agent's initial prompt to establish immediate situational awareness.
- The new model validates the received context against a quality checklist to ensure all necessary data for execution is present.
Model Context Transfer Setup
To implement this protocol within Openclaw Skills, you should incorporate the context transfer template into your agent's core instructions. For projects requiring persistent memory, initialize a tracking file:
touch MEMORY.md
Ensure your system prompt includes the CONTEXT_TRANSFER schema to allow agents to generate handoff summaries automatically when a model switch is detected.
Model Context Transfer Data Schema & Taxonomy
The skill organizes handoff data into a specific Markdown schema for maximum compatibility between different Openclaw Skills agents.
| Key Section | Content Description |
|---|---|
| Project/Task | Concise description of the overarching goal. |
| Current Status | Checklist of completed (✅), in-progress (🔄), and pending (⏳) items. |
| Key Information | Critical decisions, constraints, and specific file/API paths. |
| Team Architecture | Roles and responsibilities of the agents involved. |
| Next Steps | Prioritized list of immediate actions. |
| MEMORY.md | The long-term persistent storage file for project-wide context. |
Model Context Transfer Advanced Features
- Automatic passive triggering when the model context window exceeds an 80% saturation threshold.
- Integration with MEMORY.md for durable, long-term project state that survives across different sessions.
- Structured handoff templates designed for interoperability between disparate LLM architectures.
- Milestone-based periodic summaries to ensure backup context is always available for sudden agent failures.
- Quality assurance checklists to verify project background, constraints, and risk factors during the transfer.
SKILL.md
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