A specialized utility to audit and optimize OpenClaw workspace files, reducing system prompt token overhead and API costs.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prompt-slimmer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install prompt-slimmer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Prompt Slimmer is a performance optimization tool designed to solve the problem of workspace bloat. In many AI agent environments, every Markdown file in the root directory is injected into the system prompt on every API call. As a workspace grows, this overhead can lead to massive token usage and context window exhaustion. This skill provides a systematic approach to slimming down files like SOUL.md, MEMORY.md, and HEARTBEAT.md through frequency-based layering and intelligent archiving. By using this tool, developers can maintain a lean and responsive agent while significantly lowering operational expenses. It is a critical component for anyone managing a sophisticated library of Openclaw Skills.
To initiate the optimization process, you can trigger the skill using phrases like slim prompt or reduce tokens. Use the following command to manually inspect your current workspace overhead:
# List all Markdown files in the workspace root and their sizes
for f in *.md; do [ -f "$f" ] && echo "$f: $(wc -c < "$f") chars"; done
The skill organizes content into three distinct layers to ensure optimal performance across your Openclaw Skills:
| Layer | Target Location | Data Type |
|---|---|---|
| Layer 1: Always-On | Workspace Root (.md) | Core identity, active relationships, and safety constraints. |
| Layer 2: Searchable | memory/archive/ | Historical records, technical specs, and completed tasks. |
| Layer 3: Skill-Embedded | SKILL.md files | Task-specific workflows and code templates loaded on-demand. |
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