An intelligent context management skill that automates session transitions through background monitoring and seamless memory persistence.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install context-manager-v2
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install context-manager-v2 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Context Manager is a sophisticated tool designed for the Openclaw Skills environment to handle the limitations of AI context windows. It functions as a background monitoring service that tracks token consumption in real-time via API integration. When usage reaches a predefined threshold, the skill automatically triggers a transition process, extracting the core memory and spinning up a new session without interrupting the user experience. This ensures that complex tasks and long-running dialogues remain continuous and coherent.
By implementing a layered data retrieval strategy, Context Manager optimizes startup performance by over 75%. It prioritizes essential identity and user data before loading summarized or detailed historical memory. This architecture makes it one of the most efficient Openclaw Skills for developers who require high-availability AI agents capable of maintaining state across thousands of interaction cycles.
To deploy this skill within your Openclaw Skills library, use the following installation steps:
# Install directly from ClawHub
clawhub install miliger-context-manager
# Or install from a local source
cd ~/.openclaw/skills
tar -xzf context-manager-v2.1.0.tar.gz
cd context-manager
bash install.sh
To enable automated background monitoring, add the script to your crontab:
# Check session status every 10 minutes
*/10 * * * * ~/.openclaw/skills/context-manager/scripts/seamless-switch.sh
The Context Manager uses a tiered storage approach to manage data within the Openclaw Skills ecosystem efficiently:
| Data Component | File Name | Description |
|---|---|---|
| Core Identity | SOUL.md | Defines the agent's persona and core instructions (<5KB). |
| User Profile | USER.md | Stores persistent user preferences and history (<5KB). |
| Summary Memory | MEMORY-LITE.md | A condensed version of the session history for fast loading (<10KB). |
| Full Memory | MEMORY.md | Complete historical context for deep retrieval. |
| Progress State | HEARTBEAT.md | Tracks the current active task and execution status. |
| Work Logs | daily log | Chronological record of agent activities and decisions. |
Loading
Converts web URLs into two distinct Feishu documents: a high-fidelity source archive and a structured analysis brief.

A powerful tool for generating ray-traced 3D ball-and-stick molecular models from SMILES strings or PDB structures.

A Python-powered utility to extract content from Chinese national standard OFD files and convert them into clean Markdown or plain text.

A secure Agent-to-Agent (A2A) messaging protocol providing Ed25519-signed communication and group collaboration for AI agents.

A smart OCR tool that automatically detects image types and extracts structured content into high-quality Markdown format.

A specialized tool for Openclaw Skills that automatically extracts and parses structured JSON data from interactive message cards on enterprise platforms.








































