4 skills in this category
Writing skills concentrate on the document itself: choosing an angle worth publishing, structuring the argument, drafting sections that sound like you, and stress-testing the manuscript with reviewer-style feedback before anyone else sees it. Several also handle institution-specific packaging — Chinese undergraduate thesis templates, for example, with traceable sourcing built in.
These pair naturally with a reading skill (to digest the literature first) and with paperbanana itself (for the figures). If you need the full pipeline including literature search and citation gates, look at the research-suites category instead; the skills here assume you know what you want to write and help you write it well.
A two-skill Claude Code framework — strategist plans, composer writes — for philosophy and interdisciplinary papers, gated by a 7-dimension, 35-point reviewer simulation before a single word of prose is drafted.
A pluggable skill pack that implements the PaperOrchestra multi-agent research-paper-writing pipeline for any coding agent — no API keys, no LLM SDKs, just instruction documents and deterministic helpers.
Chinese Thesis Workbench Skill turns a real project — source code, database, screenshots, and literature — into a traceable, editable, school-template-matching Chinese undergraduate thesis DOCX, step by step.
AI Research Feedback is a collection of multi-agent Claude Code skills that referee your economics or finance paper, pre-analysis plan, grant proposal, or paper-code alignment before you submit.
Generate publication-quality methodology diagrams, ML architectures, and statistical charts from a text prompt.
Try the figure generator