word-compatible-technical-article-writing
word-compatible-technical-article-writing is a Newsletters & blogging skill for AI agents, published by ECNU-ICALK in the AutoSkill repository on GitHub. Skillspace rates word-compatible-technical-article-writing C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Generates or converts technically accurate, audience-appropriate long-form articles optimized for Microsoft Word compatibility — including clean heading hierarchy using Chinese numbering (e.g., '一、', '（二）', '1．'), plain-text formatting (no emojis/special symbols/Markdown), paragraph-based flow, fully fleshed-out sections with concrete examples, data points, and implementation details, strict de-identification of proprietary entities, and replacement of internal engineering jargon with plain-language functional equivalents.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 518
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 2 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.