Master AI Coding with OneScience's Step-by-Step Skill

Master AI Coding with OneScience's Step-by-Step Skill

The "Master AI Coding with OneScience's Step-by-Step Skill" assists developers in executing coding tasks systematically by leveraging OneScience's structured approach to resource acquisition and task execution. This skill enables users to efficiently execute each step of a coding task, ensuring that all necessary inputs are correctly managed and validated.

What this skill does

• Immediately upon receiving a task, it calls a resource skill to obtain specifications, usage knowledge, and decision planning knowledge.
• It organizes the directory structure and identifies dependencies to break down the task into independent steps.
• For each step, it outputs detailed execution information and waits for user confirmation before proceeding with coding.
• After completing all steps, it performs a full-path smoke test if supported by the local environment. This includes six items: forward, backward, train-loop, val-loop, CL, and config, executed up to six times.
• If a smoke test is not supported, a static requirements consistency check is conducted.

Who it is for

This skill is designed for developers and teams that work with AI coding agents such as Claude Code, Cursor, and Codex. It supports those who require a methodical approach to writing and verifying code, helping maintain consistency and reliability throughout the development process.

Use cases

• Organizing and managing complex coding projects that need a step-by-step execution strategy.
• Ensuring each development step is validated and confirmed before proceeding with implementation, improving code reliability.
• Executing and verifying AI training loops and configuration settings, where full-path smoke tests are essential to validate integration thoroughly.

Technical details

• This skill supports two input methods: context handoff, which obtains task information from the invoking entity, and file handoff, which uses a file-based approach from a designated directory.
• The skill performs comprehensive resource retrieval using `type=resource` skills and executes smoke tests or consistency checks based on environmental capabilities.
• Results from execution during processes involving tier configurations are systematically returned to the orchestrator, ensuring feedback and continued processing flow.

Source & Licence

This package is built on open-source work published by onescience-ai (onescience-ai/OneSkills) 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.