A performance-focused skill designed to reduce token consumption and context bloat using production-proven optimization strategies.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install token-optimization-sinoslug
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install token-optimization-sinoslug using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Token Optimization?
The Token Optimization skill provides a standardized framework for reducing unnecessary token usage in AI agent interactions. By focusing on production-proven workflows, it helps developers manage prompt bloat, standardize concise replies, and align token-saving behaviors across different assistants without sacrificing the quality of the output.
This skill ensures that your Openclaw Skills integration remains cost-effective and efficient by strictly adhering to a baseline specification for token management. It prioritizes stability and reliability by only utilizing currently implemented practices, preventing the risk associated with experimental or speculative optimization tactics.
Token Optimization Use Cases
- Reducing API costs by minimizing unnecessary token consumption in long-running sessions.
- Optimizing conversation history to prevent context window saturation during complex tasks.
- Standardizing concise reply formats across multiple AI assistants for better readability.
- Trimming log and tool output to maintain focus on relevant data within the prompt.
How Token Optimization Works
- Access the baseline specification located in references/current-spec.md to identify active optimization rules.
- Apply the production-proven rules from the specification to the current interaction context.
- Implement concise reply behaviors and log trimming as defined by the current execution process.
- Document and version any updates to the optimization plan if behavioral changes are requested by the user.
Token Optimization Setup
To enable this skill within your environment, ensure the reference directory and specification file are properly initialized for Openclaw Skills.
# Create the references directory if it does not exist
mkdir -p references
# Initialize the baseline token optimization specification
touch references/current-spec.md
Token Optimization Data Schema & Taxonomy
The skill manages its optimization logic through a structured reference file that serves as the source of truth.
| Feature | File Location | Purpose |
|---|---|---|
| Baseline Spec | references/current-spec.md |
Contains all currently implemented token-saving rules and protocols. |
| Scope Guard | Internal Logic | Ensures only production-ready tactics are applied during execution. |
| Versioning | references/current-spec.md |
Tracks iterations of the optimization strategy to ensure consistency. |
Token Optimization Advanced Features
- Strict scope guarding to prevent the introduction of experimental or unstable optimization tactics.
- Versioned specification updates allowing for safe, iterative improvements to token management logic.
- Automated log and tool-output trimming to maintain a lean context window for Openclaw Skills.
- Standardized concise reply behaviors that reduce token overhead without losing technical accuracy.
SKILL.md
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