Context Optimizer for Openclaw

An intelligent context compression engine that reduces token costs by up to 60% through pruning, deduplication, and summarization.

atlaspa
v1.0.0
Feb 12, 2026
0
3k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install openclaw-context-optimizer

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install openclaw-context-optimizer 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 Context Optimizer?

The Context Optimizer is a sophisticated tool designed for the Openclaw Skills ecosystem to tackle the challenge of high token consumption in LLM interactions. By implementing a multi-layered compression strategy—including deduplication, pruning, and summarization—it ensures that only the most relevant information is sent to the model. This not only lowers operational costs but also improves the overall quality of agent responses by focusing the model's attention on critical data.

Built to integrate seamlessly with the OpenClaw Memory System, this skill adapts to your specific workflow over time. It identifies patterns in how context is utilized and learns which pieces of information are vital versus redundant. For developers and teams scaling AI agents, this utility provides a tangible Return on Investment (ROI) by systematically shrinking the financial footprint of every API request within the suite of Openclaw Skills.

Context Optimizer Use Cases

  • Minimizing operational token costs for high-volume LLM conversations.
  • Cleaning and compressing repetitive project context before agent processing.
  • Summarizing lengthy technical discussions to stay within model context windows.
  • Removing conversational filler and greetings from automated chat histories.
  • Tracking and optimizing the financial ROI of AI agent deployments using Openclaw Skills.

How Context Optimizer Works

  1. The skill intercepts outgoing context requests before they are sent to the LLM API.
  2. It analyzes the content to detect redundant data, irrelevant filler, or sections suitable for summarization.
  3. Based on the selected strategy, such as Hybrid or Pruning, it applies compression algorithms to the payload.
  4. The system tracks the utility of the compressed context to learn better patterns for future requests.
  5. The final, optimized context is delivered, reducing token usage by 40-60% while maintaining semantic integrity.

Context Optimizer Setup

To begin optimizing your workflows, install the skill via the CLI:

claw skill install openclaw-context-optimizer

Ensure you have Node.js 18+ and OpenClaw v2026.1.30 or higher installed. You can also combine this with other Openclaw Skills for enhanced memory capabilities.

Context Optimizer Data Schema & Taxonomy

The skill maintains local records for history and ROI calculations. Data is stored securely in the user's local directory:

File/Path Description
~/.openclaw/openclaw-context-optimizer/ Root directory for all local skill data.
history.json Stores past compression events including original vs. compressed token counts.
stats.db Local database for ROI tracking and strategy performance metrics.
patterns/ Directory containing learned context importance patterns.

Context Optimizer Advanced Features

  • Autonomous Agent Economy: Supports x402 payments allowing agents to self-subscribe to Pro tiers for unlimited optimization.
  • Learning System: Utilizes the memory ecosystem to store and recall effective compression strategies based on past success.
  • Real-time Dashboard: Access a local web UI at http://localhost:9092 for live ROI analysis and strategy comparison.
  • Custom Strategy Rules: Advanced users can define specific rules for how different types of content are pruned or summarized.
  • Local-First Privacy: All compression and data analysis happen locally on your machine, ensuring data sovereignty for all your Openclaw Skills.

SKILL.md


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