Context Optimizer for Openclaw

An aggressive optimization skill designed to minimize input tokens, slash API costs, and prevent context truncation in AI agent sessions.

omaression
v1.0.0-alpha
Mar 17, 2026
0
893
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install aggressive-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 aggressive-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?

Context Optimizer is a specialized utility within the Openclaw Skills ecosystem focused on maximizing efficiency. It addresses the common pain points of modern AI development: high API costs, context window overflow, and performance degradation during long sessions. By utilizing a diagnostic-first approach, the skill identifies token sinks—such as bloated bootstrap files, excessive tool outputs, or noisy memory recall—and provides concrete, opinionated configuration fixes.

Unlike generic optimization advice, this skill provides a systematic framework to prune unnecessary data while preserving the high quality of agent tasks. Whether you are dealing with expensive vision model calls or complex coding sessions that hit token limits, Context Optimizer ensures your Openclaw Skills remain lean, fast, and cost-effective.

Context Optimizer Use Cases

  • Reducing high API bills caused by wasteful token consumption in long-running agent sessions.
  • Preventing context overflow and truncation errors that lead to loss of agent coherence.
  • Speeding up agent response times by trimming bloated bootstrap files like AGENTS.md or SOUL.md.
  • Fine-tuning memory retrieval to eliminate noisy or irrelevant context during recall.
  • Managing high-cost image inputs by optimizing dimension limits within the Openclaw Skills environment.

How Context Optimizer Works

  1. Diagnose: Use commands like /status and /usage tokens to identify whether the cost sink is in bootstrap data, tool results, or memory.
  2. Audit: Run the included Python script to perform an automated audit of your current configuration files.
  3. Apply Fixes: Implement high-impact changes sequentially, such as shrinking bootstrap files, throttling tool output payloads, and enabling context pruning.
  4. Refine Memory: Tighten retrieval thresholds and lower recall volume to ensure only the most relevant data enters the context.
  5. Validate: Use the built-in validation tools to ensure the new configuration is stable and restart the gateway to apply changes.

Context Optimizer Setup

To begin optimizing your Openclaw Skills environment, use the bundled Python script to audit or apply standard fixes:

# Audit current configuration and detect token sinks
python scripts/context_optimizer.py

# Apply default optimization settings
python scripts/context_optimizer.py --apply

# Apply aggressive settings for maximum cost reduction
python scripts/context_optimizer.py --apply --aggressive

After applying changes, run openclaw config validate to ensure your configuration is correctly formatted.

Context Optimizer Data Schema & Taxonomy

The Context Optimizer manages and modifies specific metadata and configuration files to streamline Openclaw Skills performance:

Component Target File Optimization Strategy
Bootstrap AGENTS.md, SOUL.md Removes filler and moves verbose detail to external references.
Tools openclaw.json Implements line-range excerpts and throttles fetch payloads.
Memory memory.json Adjusts relevance thresholds and enables aggressive deduplication.
Sessions Context Buffer Automates pruning of stale tool results and manages image dimensions.

Context Optimizer Advanced Features

  • Aggressive Mode: A one-click configuration path for users who need maximum token savings regardless of manual tuning.
  • Automated Rollbacks: The script auto-detects path errors and validates config changes, rolling back if the JSON structure is compromised.
  • Session Hygiene Tools: Access to specialized commands like /compact and /new to manually reset context momentum during topic shifts.
  • Context Pruning: Logic to automatically expire older, large tool payloads while keeping the most recent conversation turns intact.
  • Vision Optimization: Global settings to cap image dimensions, significantly reducing costs for vision-capable Openclaw Skills.

SKILL.md


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