claw-compactor

claw-compactor extends your AI assistant with the ability to claw Compactor v6.0 — 50%+ savings through rule-based compression, dictionary encoding, session observation compression, and progressive context loading. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using claw-compactor as its underlying capability.

claw-compactor works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install claw-compactor once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

claw-compactor installs like any other MCP skill: drop the folder into `~/.claude/skills/cut-your-tokens-97percent-savings-on-session-transcripts-via-observation-extraction/` for global access, or `.claude/skills/cut-your-tokens-97percent-savings-on-session-transcripts-via-observation-extraction/` to keep it scoped to one project. After a quick restart of Claude, you can trigger it explicitly with `/cut-your-tokens-97percent-savings-on-session-transcripts-via-observation-extraction`, or let the AI decide when it's the right tool for your request.

claw-compactor has been installed 1,346 times, making it one of the more actively used skills in the Design & Creative category. The install rate suggests it solves a real, recurring need rather than a niche edge case. The source code is open on GitHub — you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.