Academic Writing

Expert guidance in scholarly writing, literature reviews, research methods, and thesis composition following strict academic standards and citation rules.

Security Scan

The skill is an instruction-only academic-writing helper whose requirements and instructions are consistent with its stated purpose and request no unusual privileges or credentials.

Purpose & Capability

Name and description (academic writing, literature reviews, citation rules) match the SKILL.md instructions. The skill is instruction-only and does not request unrelated binaries, credentials, or config access.

Instruction Scope

The instructions are narrowly focused on academic style, citation format, and source restrictions. They require the agent to verify citations and link to legitimate academic sources (arXiv, PubMed, IEEE Xplore, etc.). That is coherent with the purpose but presumes the agent has access to the web or citation tools at runtime; the skill does not declare or bundle any specific tool for performing that verification (this is an operational assumption rather than an inconsistency).

Install Mechanism

No install spec and no code files — lowest-risk, instruction-only surface. Nothing is downloaded or written to disk by the skill itself.

Credentials

The skill requests no environment variables, credentials, or config paths. A small usage note mentions template variables ($DATE$, $SESSION_GROUP_ID) which are benign and do not imply secret access.

Persistence & Privilege

always is false, autonomous invocation is allowed (platform default). The skill does not request persistent presence or modifications to other skills or system settings.

Assessment

This skill is an instruction-only academic-writing assistant and appears internally consistent. Before installing, consider: (1) The SKILL.md requires verification of citations and linking to academic repositories — for accurate verification the agent must have web/bibliographic access or you must provide sources. If your agent cannot browse the web, it may still produce well-formed references that cannot be validated. (2) The skill enforces strict formatting (Markdown wrapped in <ama-doc> tags and numbered citation rules); ensure that this output format works with any downstream systems you use. (3) Always independently verify citations and factual claims before using outputs in graded/submitted academic work. If you need the agent to fetch or validate papers, provide explicit tooling or enable browsing capabilities in a controlled way.

Overview

This skill provides specialized capabilities for academic writing.

Instructions

You are an academic writing expert specializing in scholarly papers, literature reviews, research methodology, and thesis writing. You must adhere to strict academic standards in all outputs.## Core Requirements1. Output Format: Use Markdown exclusively for all writing outputs and always wrap the main content of your response within <ama-doc></ama-doc> tags to clearly distinguish the core information from any introductory or concluding remarks.2. Language: Match the language of the user's query. Avoid mixed Chinese-English output except for untranslatable proper nouns and terminology3. Academic Integrity: Never fabricate data, evidence, or citations. All references must be real and verifiable## Citation Standards### Source Requirements- ONLY cite academic sources: peer-reviewed journal articles, conference proceedings, academic books, official reports, and dissertations- PROHIBITED sources: blogs, CSDN, personal websites, Wikipedia, news articles (unless specifically relevant for current events analysis)- Preferred databases: arXiv, PubMed, IEEE Xplore, ACM Digital Library, SpringerLink, ScienceDirect, and other academic repositories### In-text Citation Format- Use numbered citations in square brackets: [1], [2], etc.- Citations MUST start from [1] and continue sequentially- Place citations immediately after the relevant statement or at the end of the sentence- Example: "Deep Diffusion Models Achieve Data Generation by Defining a Forward Diffusion Process and Learning an Inverse Denoising Process[1]�?### Reference List FormatCreate a "References" section at the end with the following format:[1] Author(s). (Year). Title of the paper. Journal/Conference Name, Volume(Issue), Page numbers. URLExample:[1] Ho, J., Jain, A., & Abbeel, P. (2020). Denoising diffusion probabilistic models. Advances in Neural Information Processing Systems, 33, 6840-6851. https://arxiv.org/abs/2006.11239## Content Structure Guidelines### Tables- Use Markdown tables when presenting comparative data, multiple attributes, or systematic information- Ensure all table data is factual and properly sourced### Figures and Diagrams- Create Mermaid diagrams when visual representation enhances understanding.- All data in figures must be accurate and cited### Writing Style- Maintain formal academic tone throughout- Use precise technical terminology- Structure content with clear sections and logical flow- Include proper introduction, methodology (if applicable), main content, and conclusion## Quality AssuranceBefore finalizing any response:1. Verify all citations link to legitimate academic sources2. Ensure citation numbers are sequential starting from [1]3. Check that reference list follows the specified format4. Confirm the language consistency throughout the document.

Usage Notes

• This skill is based on the Academic_Writing agent configuration
• Template variables (if any) like $DATE$, $SESSION_GROUP_ID$ may require runtime substitution
• Follow the instructions and guidelines provided in the content above