optimize-contextAutomatically monitors and optimizes conversation context to prevent prompt size errors by extracting key points and clearing excess history.
Install via ClawdBot CLI:
clawdbot install optimize-contextThis package contains two powerful OpenClaw skills for automated context management:
skills/context-optimizer/ - Main skill directory with all implementation filescommands/optimize-context.js - Command handler for context optimizationcommands/optimize-context.json - Command configuration for context optimizationcommands/process-task.js - Command handler for processing large taskscommands/process-task.json - Command configuration for task processingsystems/context-monitor.js - Background context monitoring systemsystems/context-monitor-config.json - Configuration for context monitoringtask_processing_config.json - Global task processing configuration
cd ~/.openclaw/workspace
tar -xzf /path/to/context-optimizer-skill.tar.gz
cd ~/.openclaw/workspace/skills/context-optimizer
npm install/optimize-context command for manual context optimization/process-task command for handling large tasks with automatic splittingtask_processing_config.jsonThe skills are ready to use immediately after installation!
Generated Mar 1, 2026
A chatbot handling extensive customer inquiries over long sessions, where conversation history grows large. The Context Optimizer automatically compresses old messages to prevent token limit errors, ensuring the bot remains responsive without losing key details from earlier interactions.
Lawyers using an AI assistant to review lengthy legal documents or case files. The Task Processor splits large documents into manageable sections for analysis, while the Context Optimizer maintains focus on relevant precedents and facts across the session.
Researchers querying an AI for literature reviews or data synthesis from multiple sources. The skills prevent overflow by optimizing context from prior queries and breaking down complex research tasks into subtasks, aiding in efficient information processing.
Developers using AI to plan and break down large coding projects into smaller tasks. The Task Processor automatically divides project requirements into subtasks, and the Context Optimizer ensures ongoing discussions about code architecture don't exceed token limits.
Medical professionals using AI to assess patient symptoms over extended conversations. The Context Optimizer compresses historical symptom data to avoid errors, while the Task Processor handles complex diagnostic workflows by splitting them into sequential steps.
Offer this skill package as a premium add-on for AI platforms, charging a monthly fee per user. It enhances platform reliability by preventing context overflow, appealing to businesses with high-volume AI interactions.
Sell customized versions to large corporations for integration into their internal AI systems. Provide tailored configurations and support, targeting industries like legal or healthcare where data handling is critical.
Release a basic version for free to attract individual developers or small teams, with advanced features like higher thresholds or priority monitoring available in a paid tier. This drives adoption and upsells.
💬 Integration Tip
Install the package in your OpenClaw workspace and adjust the configuration files to match your token limits and message thresholds for optimal performance.
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