Claw Compactor is a 6-layer token compression skill for OpenClaw agents. It cuts workspace token spend by 50–97% using deterministic rule-engines and Engram, a real-time, LLM-driven Observational Memory system, providing automatic savings reporting at session start.
/plugin marketplace add gabrielmoreira/agent-skills-mirror
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Knowledge and utilities for creating animated GIFs optimized for Slack. It provides constraints, validation tools, and animation concepts, useful when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack".
Compresses images to WebP (default) or PNG with automatic tool selection. Use when the user asks to compress image, optimize image, convert to webp, or reduce image file size.
Zenless Zone Zero's all-in-one automatic game assistant, enabling AI Agents to fully automate daily game routines.
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Claw Compactor reduces token usage across the full OpenClaw workspace using 6 compression layers:
| Layer | Name | Cost | Notes |
|---|---|---|---|
| 1 | Rule Engine | Free | Dedup, strip filler, merge sections |
| 2 | Dictionary Encoding | Free | Auto-codebook, $XX substitution |
| 3 | Observation Compression | Free | Session JSONL → structured summaries |
| 4 | RLE Patterns | Free | Path/IP/enum shorthand |
| 5 | Compre |
[Description truncada. Veja o README completo no GitHub.]
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