Master AI Agent Skills with Skill-Designer for Claude Code

Master AI Agent Skills with Skill-Designer for Claude Code

The Skill-Designer for Claude Code offers a structured method to author, audit, and refine AI agent skills, optimizing them for specific tasks. Designed to guide developers through skill design or modification, it focuses on single responsibility and progressive disclosure for efficient AI interactions.

What this skill does

• Classifies requests to create, refactor, split, or audit AI agent skills by evaluating existing files thoroughly before any modifications.
• Performs a responsibility check on each skill, ensuring compliance with defined triggers and task separation. Splits are guided by established patterns to avoid excessive complexity.
• Decides the optimal execution environment for skills through architecture references, particularly for tasks involving noisy tool interactions or repeated actions.
• Tunes skills for specific models when targeting agents or forked skills to ensure proper behavior by leveraging `supercc:model-prompting` for informed adjustments.
• Develops skill documentation, beginning with frontmatter, progressing through body content, and concluding with scripts and references.
• Lints skills using provided scripts to detect and address potential errors or warnings, ensuring robust performance and reliability.

Who it is for

This tool is intended for developers and engineering teams engaged in creating or managing AI coding agents using platforms such as Claude Code, Cursor, and Codex. It supports structured skill development and maintenance for those seeking to refine AI interactions within their projects.

Use cases

• Developers seeking to construct new skills with clear task demarcation in AI agents.
• Engineering teams tasked with transforming monolithic AI scripts into more modular and maintainable components.
• Teams tasked with auditing existing AI skills for compliance with design principles in existing workflows.

Technical details

• Employs Claude Code-specific authoring guidelines to ensure single responsibility per skill.
• Integrates `supercc:model-prompting` for model-specific tuning and optimization.
• Utilizes a structured linting process via `bash "${CLAUDE_SKILL_DIR}/scripts/lint_skill.sh"` for error detection and resolution.

Source & Licence

This package is built on open-source work published by p2p2sp (p2p2sp/p2p2.claude) and distributed under MIT. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted, provided the original copyright and licence notice are retained.

Your purchase covers curation, licence verification, packaging, documentation and instant delivery. It does not grant exclusive rights to the underlying open-source code, which remains available under its original licence.

Delivery & Support

• Delivery: instant — a secure download link is emailed to you as soon as payment is confirmed.
• Format: ZIP archive containing the skill files, documentation and the original licence.
• Support: support@mcpcart.com — we aim to reply within 2 business days.
• Updates: updates are included only where stated on this page.

Refunds

This is a digital product delivered immediately after purchase. By completing your order you request immediate delivery and acknowledge that, once the download has been accessed, the statutory right to cancel no longer applies to the extent permitted by law. Refund requests are handled in accordance with our published Refund Policy.

Claude, Codex, Gemini and Cursor are trademarks of their respective owners. MCP Cart is an independent marketplace and is not affiliated with, endorsed by, or sponsored by any of them. Compatibility references describe interoperability only.