Does edit-skill handle directory structure automatically?

Yes, it manages the creation of the .claude/skills/ directory, including SKILL.md, supporting scripts, and reference documentation.

What is the 'Complexity Evaluation Checklist'?

It is a mandatory 3-question validation step that ensures a skill is necessary, concise, and specific before any files are created, preventing redundant AI overhead.

How do I know if I should create a skill or a slash command?

Skills are for capabilities that should be auto-invoked frequently by the AI. Slash commands are better for user-initiated workflows or instructions that are too verbose for every turn.

What is the recommended token limit for a Claude Code skill?

Ideally, a skill should be under 500 tokens. This ensures the capability remains specific, reduces context pollution, and maintains fast response times.

Skill Editor & Architect

Name: Skill Editor & Architect
Author: digital-stoic-org

bydigital-stoic-org

生産性とワークフロー

Automates the creation and optimization of specialized Claude Code skills according to Anthropic's architectural best practices.

概要

The Skill Editor & Architect provides a rigorous framework for building, updating, and refining Claude Code skills to enhance agentic behavior. It enforces a strict complexity evaluation checklist to prevent context pollution, ensuring that only high-value, concise capabilities are implemented as skills. By managing YAML frontmatter, directory structures, and token optimization, it helps developers maintain high-performance AI workflows while adhering to progressive disclosure patterns and model selection guidelines.

主な機能

Automated YAML frontmatter generation and validation for SKILL.md files
Mandatory complexity evaluation checklist to prevent context pollution
Token usage optimization targeting under 500 tokens per capability
Decision matrix for selecting between skills, commands, scripts, and agents
0 GitHub stars
Support for progressive disclosure using reference files and scripts

ユースケース

Refactoring existing skills to reduce token overhead and improve instruction clarity
Auditing agent capabilities to decide if a workflow should be a skill or a bash script
Creating a new project-specific skill with optimized model selection (Haiku/Sonnet/Opus)

概要

主な機能

Automated YAML frontmatter generation and validation for SKILL.md files
Mandatory complexity evaluation checklist to prevent context pollution
Token usage optimization targeting under 500 tokens per capability
Decision matrix for selecting between skills, commands, scripts, and agents
0 GitHub stars
Support for progressive disclosure using reference files and scripts

ユースケース

Refactoring existing skills to reduce token overhead and improve instruction clarity
Auditing agent capabilities to decide if a workflow should be a skill or a bash script
Creating a new project-specific skill with optimized model selection (Haiku/Sonnet/Opus)