academic-paper
The academic-paper skill provides a 12-agent pipeline for drafting, reviewing, and formatting academic papers across various disciplines. It supports multiple citation formats, output types including LaTeX and DOCX, and includes features for style calibration and writing quality checks.
Is academic-paper safe to install?
Review the source first: our audit of academic-paper's source files found 1 shell command, 0 external URLs, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes Python scripts for pipeline integrity checks and generates code for data visualization, which involves potential shell command execution and file system interaction.
How we audit skills: our security review methodology.
Who is this skill for?
Researchers, students, and academics requiring structured assistance with paper drafting, literature review, citation management, and peer review simulation.
What can you do with it?
- Drafting academic papers from outline to final format
- Performing literature searches and creating annotated bibliographies
- Converting citation formats between APA, Chicago, MLA, IEEE, and Vancouver
- Simulating double-blind peer reviews with five-dimension scoring
- Generating publication-quality figures using Python or R
- Creating bilingual abstracts in English and Traditional Chinese
How good is this skill?
Quality score: 5/10. The documentation is comprehensive, clearly defining the 12-agent architecture, phase-based workflows, and specific invocation protocols. It maintains strict boundaries between different agent roles and provides clear instructions for users.
What does the skill file contain?
# Academic Paper — Academic Paper Writing Agent Team A general-purpose academic paper writing tool — 12-agent pipeline covering all disciplines, with higher education domain as the default reference. **v2.5** adds two writing quality features: - **Style Calibration** (intake Step 10, optional) — Provide 3+ past papers and the pipeline learns your writing voice (sentence rhythm, vocabulary preferences, citation integration style). Applied as a soft guide during drafting; discipline conventions always take priority. See `shared/style_calibration_protocol.md`. - **Writing Quality Check** (`refe...
Frequently asked questions
Does this skill perform deep research?
No. The skill is designed for paper writing. For deep research or fact-checking, use the deep-research skill.
What output formats are supported?
The skill supports LaTeX (.tex + .bib), DOCX (via Pandoc), PDF (via LaTeX or Pandoc), and Markdown.
Can I use my own sources?
Yes. Users can skip the literature search phase if they provide their own sources.
How many revision rounds are allowed?
The pipeline allows a maximum of two revision rounds with targeted feedback.
Related skills
paper-context-resolver
140.4KDevelopers and researchers performing deep learning repository reproduction who encounter specific technical ambiguities in documentation
The paper-context-resolver skill provides targeted information from research papers to resolve specific gaps in deep learning repository reproduction. It focuses on technical details like dataset splits, preprocessing steps, evaluation protocols, checkpoint mappings, and runtime assumptions.
customer-research
46.7KProduct marketers, founders, and researchers who need to ground their strategy in customer data
The customer-research skill provides a framework for analyzing existing research assets and gathering new insights from online communities to inform product marketing, messaging, and persona development.
firecrawl-deep-research
25.0KUsers requiring rigorous, synthesized research reports on scientific, technical, policy, or market topics
The firecrawl-deep-research skill generates formal, cited analytical reports on complex topics. It requires a Firecrawl API key and uses a depth-based collection plan to search and scrape web sources based on user-defined research duration.
tavily-search
24.3KUsers who need to retrieve current information, news, or specific facts from the internet
The tavily-search skill provides web search capabilities optimized for LLM consumption. It returns content snippets, relevance scores, and metadata via the Tavily CLI.