skill-creator_skill

Overview

This skill helps you design and create Agent Skills using progressive disclosure principles. It focuses on keeping trigger metadata and core instructions lean while offloading detailed content to external resources. Use it to standardize skill architecture and streamline authoring for developer-focused AI agents.

How this skill works

The skill defines a three-level loading model: compact trigger metadata, concise core instructions, and on-demand detailed resources. Triggers and core patterns remain small to keep token use efficient, while extensive documentation, scripts, and assets are stored separately and fetched only when needed. This keeps runtime prompts focused and ensures maintainability as capabilities grow.

When to use it

• You notice repeated context or tasks across agent conversations
• A domain or team needs consistent, reusable agent behavior
• You’re planning the architecture for multiple related skills
• You need to offload large documentation, templates, or scripts
• You want predictable triggering with minimal prompt overhead

Best practices

• Keep metadata under ~30 tokens to optimize trigger matching
• Limit core instructions to essential patterns and examples (<680 tokens)
• Put step-by-step guides, code, and assets in separate resource folders
• Use clear naming and a consistent folder layout for discoverability
• Design triggers to be specific enough to avoid false positives

Example use cases

• Create a repository-specific dev assistant with project knowledge loaded on demand
• Extract recurring troubleshooting flows into a reusable skill
• Bundle common developer commands and scripts so the agent can run them when authorized
• Provide language- or domain-specific editing guidelines without bloating prompts
• Build onboarding helpers that reveal deeper training materials only when requested