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aeromomoaeromomoCommunity·1 Agent Skills Included

claw-compactor

Compress LLM prompts and agent memory to cut token costs

Compresses code, JSON, logs, diffs, and chat history through a 14-stage pipeline to shrink LLM token usage by 15-82%. Eliminates wasted context window space and rising API bills without losing meaning, using reversible compression and AST-aware code handling. Includes Engram, a real-time memory layer that turns long agent conversations into structured summaries for persistent context.
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npx skills add aeromomo/claw-compactor --all -g -y

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aeromomoaeromomo

claw-compactor

Compresses workspace memory and transcripts to reduce token costs.

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Frequently Asked Questions

FAQPage Schema
How to install Claw Compactor?▼

Run `npx skills add aeromomo/claw-compactor --all -g -y` in your terminal to install the full skill suite globally.

How to reduce LLM token costs?▼

Claw Compactor runs your prompts and workspace files through 14 compression stages, cutting token usage by 15-82% while keeping the content readable for the model.

Does compression lose important information?▼

No. It uses reversible compression with a rewind store, so the AI can retrieve any original section on demand, and code identifiers are never altered.

What is Engram observational memory?▼

Engram is a live memory layer that watches agent conversations and compresses them into priority-tagged summaries, giving long-running agents persistent long-term context.

Does Claw Compactor work with OpenClaw agents?▼

Yes. It ships as a standard SKILL.md skill that OpenClaw agents trigger automatically on phrases like compress memory or save tokens.

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