AI-Powered Academic Polishing for SCI/SSCI Submissions

AI-Powered Academic Polishing for SCI/SSCI Submissions

This AI agent skill supports researchers by translating Chinese academic prose into English suitable for publication or polishing English manuscripts for submission to SCI, SSCI, or interdisciplinary journals. It enhances clarity, precision, coherence, concision, and ensures adherence to disciplinary standards without altering the core content unless explicitly specified by the author.

What this skill does

• Classifies the input task as either translating from Chinese to academic English or polishing existing English text.
• Determines the scope of the text as either a single paragraph or a complete section.
• Handles specific domains under the classification of SCI, SSCI, or interdisciplinary fields.
• Identifies the rhetorical function of the text, such as Abstract, Introduction, Methods, Results, Discussion, Conclusion, or literature review, for more targeted editing.
• Improves clarity, precision, and coherence while respecting the author's original evidence and claims.

Who it is for

• Researchers seeking to prepare their Chinese academic texts for submission in English-language journals.
• Authors aiming to polish their English manuscripts for clear and precise communication in SCI/SSCI contexts.
• Editorial teams working with manuscripts intended for interdisciplinary publication venues.

Use cases

• Translating and polishing research articles for submission in areas such as natural sciences, social sciences, and interdisciplinary studies.
• Enhancing the quality of academic conference papers that require stringent language and formatting standards.
• Supporting non-native English-speaking researchers in conforming to the linguistic expectations of their target journals.

Technical details

This skill uses AI capabilities tailored for academic writing enhancement, integrated within platforms such as Claude Code, Cursor, and Codex. The process includes referencing guides like references/invariants.md and references/output-contract.md for maintaining consistency and meeting publication standards. It also utilizes the references/rhetorical-routing.md for proper handling of complete sections depending on their type.

Source & Licence

This package is built on open-source work published by Yila-AI (Yila-AI/awesome-research-skills) and distributed under Apache-2.0. The original licence text and copyright notice are included in your download.

Personal and commercial use, modification and redistribution are permitted under the Apache License 2.0, which also includes an express patent grant. Attribution and any NOTICE file must be 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.