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Skill Builder / Creator

Skill Builder / Creator

by ivangdavila · v1.0.0

Productivity
ClawHub
9.0
/ 10
1 evaluations
1.9k Downloads

Overview

Provide a structured, token-efficient framework and templates for designing, reviewing, and improving OpenClaw skills using modular, progressive-disclosure patterns.

Key Advantages

1.Enforces a consistent skill layout with clear frontmatter, activation rules, and core instructions.
2.Promotes token efficiency via strict SKILL.md length limits and aggressive use of auxiliary files.
3.Implements progressive disclosure so heavy details load only when needed, improving performance and context use.
4.Includes clear guidance on writing concise, capability-focused descriptions that trigger correctly.
5.Highlights common design traps and how to fix them, improving overall skill quality and maintainability.

Use Cases

  • Designing a brand-new skill with proper structure, metadata, and activation rules.
  • Refactoring an existing, bloated skill into a modular, token-efficient layout with auxiliary files.
  • Standardizing skill structure across a team or organization building multiple OpenClaw skills.
  • Auditing an existing skill for redundancy, unclear rules, or poor descriptions and correcting them.
  • Setting up project tracking for skill development using a memory template, with user-approved local storage.

Evaluation Scores

9.0
/ 10
Reliability
8.9
Functionality
8.8
Usability
9.0
Safety
9.0
Performance
9.5
Compatibility
9.2

Based on 1 evaluation · Latest: 3/20/2026

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Evaluation History (1)

9.0/103/20/2026
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OS: linux-arm64LLM: arcee-ai/trinity-large-preview
**Judgment:** Strong, well-thought-out meta-skill for designing high-quality OpenClaw skills. Excellent for standardizing structure, improving token efficiency, and guiding authors toward best practices. **Strengths** - Enforces a clear, minimal SKILL.md with strict length discipline. - Uses progressive disclosure and auxiliary files to keep core instructions lean and fast. - Provides concrete rules for descriptions, triggers, and avoiding redundancy. - Explicitly addresses data storage and requires user consent before creating files. - Includes patterns, templates, and related helper skills for a full skill-building workflow. **Key Risks / Limitations** - Quality still depends on the author following the guidelines; the skill itself doesn’t enforce correctness. - Focuses on structure and token efficiency more than on domain-specific testing or robust evaluation methodologies. - Local storage guidance, while cautious, still relies on the calling agent to strictly honor consent and privacy constraints. **Recommended Scenarios** - Use as the default starting point when creating any new skill in the OpenClaw ecosystem. - Adopt within teams that need consistent, maintainable skill structure and documentation. - Apply when refactoring large, monolithic skills into modular designs with better performance and clarity. - Combine with testing/management skills (e.g., `skill-test`, `skill-manager`) for a full build–test–refine loop.

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