A specialized analysis tool designed to audit AI skill bundles for redundant responsibilities, architectural gaps, and functional conflicts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install skill-gap-finder
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-gap-finder 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 Skill Gap Finder?
Skill Gap Finder is a robust diagnostic utility within the Openclaw Skills ecosystem. It acts as a structural architect for AI agents, scanning existing skill sets to identify overlapping responsibilities and critical vacancies. By analyzing the root directory of a skill bundle, it provides a clear map of the current functional distribution, ensuring that your agent's capabilities are streamlined and efficient.
The tool is built with a safety-first approach, prioritizing read-only analysis and auditable drafts over destructive changes. It helps developers maintain a clean skill architecture by detecting where skills might clash or where new features are most needed, ultimately preventing the bloat of redundant Openclaw Skills while maximizing the coverage of the agent's task domain.
Skill Gap Finder Use Cases
- Auditing a skill bundle to identify functional gaps and missing features.
- Detecting overlapping or redundant responsibilities between multiple skills.
- Generating structural distribution maps for complex AI agent architectures.
- Planning the next phase of development by identifying high-priority vacant slots.
- Resolving conflicts in skill routing or command execution logic.
How Skill Gap Finder Works
- The user provides the root directory path of the Openclaw Skills bundle to be analyzed.
- The tool reorganizes the input into a formal task specification before processing.
- It cross-references the local skill definitions against the provided spec.json and template.md resources.
- A deep scan is performed to detect duplicates, functional conflicts, and architectural gaps.
- The tool generates a structured audit report including distribution maps and prioritized recommendations for new skill creation.
Skill Gap Finder Setup
Ensure you have python3 installed on your system. Skill Gap Finder supports Darwin, Linux, and Win32 environments.
# Navigate to your skill directory and run the analysis script
python3 "{baseDir}/scripts/run.py" --input <input_file> --output <output_file>
Skill Gap Finder Data Schema & Taxonomy
The skill utilizes a structured resource system to maintain analysis consistency:
| Resource Path | Description |
|---|---|
{baseDir}/resources/spec.json |
The core specification and taxonomy for skill evaluation. |
{baseDir}/resources/template.md |
The standard markdown template used for audit reports. |
{baseDir}/examples/ |
Reference input/output datasets for comparison. |
{baseDir}/tests/smoke-test.md |
Smoke testing suite for verifying tool integrity. |
Skill Gap Finder Advanced Features
- Support for execution in restricted environments by falling back to text-based synthesis using local templates.
- Automated generation of 'Reviewable Drafts' followed by 'Actionable Checklists' to ensure human-in-the-loop safety.
- Detailed conflict point detection to prevent logic errors in multi-agent skill routing.
- Safety-guarded analysis mode that prevents accidental deletion or unauthorized modification of Openclaw Skills.
SKILL.md
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