This is for writing university assignments and technical reports that don't sound like ChatGPT wrote them. It handles both Chinese and English, focusing on natural flow instead of the usual "firstly, secondly, finally" structure that screams AI. The approach is smart: it reads reference examples in your target language, builds descriptive chapter headings instead of generic ones, and weaves information into flowing paragraphs rather than bullet lists. Works for technical analyses, research reviews, and case studies. The instructions are thorough about matching IELTS 6.0 level English and proper Chinese punctuation, plus when to use first person voice. Outputs go to a standardized directory structure following Claude Code conventions.

skills.sh installs
323
GitHub stars
21
last updated
Aug 21, 2026

Install

$ npx -y skills add shining319/claude-code-single-person-workflow --skill academic-writing-style --agent claude-code

Installs into .claude/skills of the current project.

Files

Academic Writing Style

Transform provided information into well-written academic assignments that match the user's natural writing style, avoiding obvious AI patterns while maintaining professional quality.

Core Approach

Plain writing comes first (hard rule). Whatever the assignment, write in plain language and avoid long, complex sentences. This applies to every document type, every mode, and both languages. A style profile never relaxes it. Chinese: most sentences under 40 characters, split anything over 60. English: average 15–20 words, rarely over 25, at most one subordinate clause per sentence. No stacked idioms, flowery metaphors, or grand openings. Full standard: references/writing-guidelines.md (principle 1).

Sponsors

Details

Repository
github.com/shining319/claude-code-single-person-workflow
Categories
Git & Pull Requests, Documentation, Code Review & Quality, Data Science & ML, Automation & Workflows
First seen
Jun 3, 2026
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