A comprehensive diagnostic and optimization framework designed to audit, refine, and verify the quality of AI agent skills.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-improvement
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 skill-improvement 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 Skills Improvement?
Skills Improvement is a technical framework designed to systematically enhance the quality and reliability of Openclaw Skills. It operates on the core principle that effective optimization requires a rigorous diagnostic phase before any changes are implemented. The skill evaluates AI agent capabilities across four critical dimensions: metadata accuracy, architectural efficiency, text clarity, and code robustness.
By following a structured diagnostic-report-select-execute-verify workflow, it ensures that every modification is purposeful and compliant with official best practices. This skill is essential for developers looking to reduce technical debt, improve skill discovery, and ensure that their Openclaw Skills perform reliably in production environments.
Skills Improvement Use Cases
- Auditing a library of Openclaw Skills to ensure they meet official quality standards and naming conventions.
- Optimizing skill metadata to improve the accuracy of agent triggers and discovery.
- Refactoring complex SKILL.md files into modular architectures using progressive disclosure patterns.
- Performing automated regression testing on modified skills to ensure no loss of existing functionality.
- Grading skill performance during the development lifecycle to identify high-priority technical issues.
How Skills Improvement Works
- Diagnose: The system scans the SKILL.md and all referenced files to identify issues across metadata, architecture, text, and code categories.
- Report: It generates a structured diagnostic report, assigning a quality grade from A to F and highlighting issues by severity.
- Select: Users interact with a selection interface to choose which specific fixes or optimizations to apply to their Openclaw Skills.
- Execute: The skill creates backups and applies the selected fixes, providing a clear diff of all modifications for developer review.
- Verify: Subagents are dispatched to perform trigger, understanding, and execution tests to confirm the optimizations were successful.
Skills Improvement Setup
To utilize the Skills Improvement workflow for your Openclaw Skills, ensure the skill is integrated into your agent's environment and trigger the diagnostic process via command.
# Trigger a skill audit
# "Analyze the quality of [skill-name]"
# "Run diagnostic report on current skills"
Ensure that the directory contains the necessary reference files such as diagnostic-checklist.md and quality-standards.md to provide the evaluation framework.
Skills Improvement Data Schema & Taxonomy
The skill manages its optimization data through a structured taxonomy of issues and reports.
| Data Component | Description |
|---|---|
| Issue Categories | Metadata (High), Architecture (Medium), Text (Medium), Code (High). |
| Severity Levels | HIGH (Prevents discovery), MEDIUM (Impacts usability), LOW (Minor improvement). |
| Grading Scale | A (Excellent) through F (Broken) based on priority-weighted pass/fail criteria. |
| Change Log | A record of all modifications applied to the Openclaw Skills during the execution phase. |
| Backup Files | Automatic creation of .backup files for any modified skill components. |
Skills Improvement Advanced Features
- Interactive selection interface for granular control over optimization execution.
- Automated multi-agent verification testing to validate skill performance in real-time.
- Progressive disclosure architecture support to keep SKILL.md files concise and token-efficient.
- Deep integration with test-driven development methodologies for reliable Openclaw Skills deployment.
- Smart dependency propagation to ensure updates in one file are reflected across all related skill metadata.
SKILL.md
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