← All skills
Tencent SkillHub Β· AI

Openclaw Context Optimizer

Intelligently compresses and optimizes context to reduce token usage by 40-60%, using deduplication, pruning, summarization, and adaptive learning.

skill openclawclawhub Free
0 Downloads
0 Stars
0 Installs
0 Score
High Signal

Intelligently compresses and optimizes context to reduce token usage by 40-60%, using deduplication, pruning, summarization, and adaptive learning.

⬇ 0 downloads β˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
AGENT-PAYMENTS.md, hooks/request-after.js, hooks/request-before.js, hooks/session-end.js, IMPLEMENTATION_SUMMARY.md, migrations/001-init.sql

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 19 sections Open source page

OpenClaw Context Optimizer

Reduce context/token usage by 40-60% through intelligent compression and learning.

What is it?

The first OpenClaw skill that intelligently compresses context to reduce token costs by 40-60%. Uses multiple strategies (deduplication, pruning, summarization) and learns what context matters over time. Works seamlessly with Memory System for maximum efficiency.

Key Features

⚑ 40-60% Token Savings - Intelligent compression without information loss 🧠 Learning System - Adapts to what context matters in your workflow πŸ”„ Multiple Strategies - Dedup, prune, summarize, hybrid πŸ’Ύ Memory Integration - Works with OpenClaw Memory System πŸ’° x402 Payments - Agents can pay for unlimited compressions (0.5 USDT/month) πŸ“Š ROI Tracking - Automatically calculates return on investment

Free vs Pro Tier

Free Tier: 100 compressions per day All compression strategies Basic statistics and ROI tracking Pro Tier (0.5 USDT/month): Unlimited compressions Advanced learning algorithms Priority compression Detailed analytics Custom compression rules

Installation

claw skill install openclaw-context-optimizer

Commands

# Compress context manually claw optimize compress "Long context..." --strategy=hybrid # Show compression stats claw optimize stats # View compression history claw optimize history --limit=10 # Calculate ROI claw optimize roi # Open dashboard claw optimize dashboard # Subscribe to Pro claw optimize subscribe

How It Works

Hooks into requests - Automatically intercepts context before API calls Analyzes content - Identifies redundant, irrelevant, or summarizable info Applies strategy - Deduplication β†’ Pruning β†’ Summarization Learns patterns - Tracks what context was useful vs. wasted Compresses intelligently - Reduces tokens by 40-60%

Compression Strategies

Deduplication (20-30% savings): Removes repeated information across messages Best for long conversations with repeated facts Pruning (30-40% savings): Removes low-importance messages (greetings, confirmations) Best for conversations with filler content Summarization (40-60% savings): Condenses long exchanges into key points Best for technical discussions and planning Hybrid (40-60% savings - Recommended): Combines all strategies intelligently Best for most use cases

Use Cases

Reduce token costs on long conversations Compress repeated project context Summarize technical discussions Remove filler from chat history Learn compression patterns over time

Agent Economy

Agents can autonomously evaluate if Pro tier is worth it: Cost: 0.5 USDT/month Value: Saves 40-60% on token costs ROI: If saves >0.5 USDT/month in tokens, it pays for itself Example: Original: 5,000 tokens Γ— $0.003/1K = $0.015 per request Compressed: 2,000 tokens Γ— $0.003/1K = $0.006 per request Savings: $0.009 per request 60 requests/day = $0.54/day = $16.20/month saved Pro cost: $0.50/month Net profit: $15.70/month See AGENT-PAYMENTS.md for x402 integration details.

Memory System Integration

Works best with OpenClaw Memory System: Stores compression patterns as memories Learns what context is important over time Recalls successful strategies from past sessions Combined savings: 50-70% claw skill install openclaw-memory claw skill install openclaw-context-optimizer

Privacy

All data stored locally in ~/.openclaw/openclaw-context-optimizer/ No external servers or telemetry Compression happens locally (no API calls) Open source - audit the code yourself

Dashboard

Access web UI at http://localhost:9092: Real-time compression statistics Token savings over time ROI calculation (savings vs. Pro cost) Strategy performance comparison Compression history with before/after view Quota usage and license status

ROI Tracking

Context Optimizer automatically calculates return on investment: $ claw optimize roi ROI Analysis (Last 30 Days) ──────────────────────────────── Total compressions: 1,247 Average savings: 60% Cost without optimizer: $10.28 Cost with optimizer: $4.11 Savings: $6.17 Pro tier cost: $0.50/month Net savings: $5.67/month ROI: 1,134% πŸŽ‰

Requirements

Node.js 18+ OpenClaw v2026.1.30+ OS: Windows, macOS, Linux Optional: OpenClaw Memory System (recommended)

API Reference

# Compress context POST /api/compress { "agent_wallet": "0x...", "context": "Long context...", "strategy": "hybrid" } # Get stats GET /api/stats?agent_wallet=0x... # Get ROI analysis GET /api/roi?agent_wallet=0x... # x402 payment endpoints POST /api/x402/subscribe POST /api/x402/verify GET /api/x402/license/:wallet

Statistics Example

  • Token Savings:
  • Original: 3,425,000 tokens
  • Compressed: 1,370,000 tokens
  • Saved: 2,055,000 tokens (60%)
  • Cost Savings (30 days):
  • Without optimizer: $10.28
  • With optimizer: $4.11
  • Savings: $6.17
  • Strategy Performance:
  • Hybrid: 60% avg (800 uses)
  • Summarization: 55% avg (250 uses)
  • Pruning: 35% avg (47 uses)
  • Deduplication: 25% avg (150 uses)

Economic Rationale

Should you upgrade to Pro? If you make enough API calls where 40-60% token savings exceed 0.5 USDT/month, Pro tier pays for itself. Typical savings: Small projects: $2-5/month saved β†’ $1.50-4.50 profit Medium projects: $10-20/month saved β†’ $9.50-19.50 profit Large projects: $50+/month saved β†’ $49.50+ profit

Links

Documentation Agent Payments Guide GitHub Repository ClawHub Page Built by the OpenClaw community | First context optimizer with x402 payments

Category context

Agent frameworks, memory systems, reasoning layers, and model-native orchestration.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
3 Scripts2 Docs1 Files
  • AGENT-PAYMENTS.md Docs
  • IMPLEMENTATION_SUMMARY.md Docs
  • hooks/request-after.js Scripts
  • hooks/request-before.js Scripts
  • hooks/session-end.js Scripts
  • migrations/001-init.sql Files