docs
docs is a Docs writing & content skill for AI agents, published by Opentrons in the opentrons repository on GitHub. Skillspace rates docs D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Authoring and styling guidelines for the Opentrons /docs MkDocs project. Covers file conventions, frontmatter, page titles, header IDs, image formats, tables, code blocks, Python API reference (mkdocstrings, autorefs, macros), and CSS patterns (parts lists, screenshots, icons, instruction lists, side-by-side figures, fonts, colors). Use when writing, editing, or reviewing any file in the docs/ directory, or when the user asks about MkDocs conventions, docstrings, CSS classes, or the Python API reference.
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 512
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
- 90 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- Adoption
- Adopted by 1 other repositories, in 0 collections
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
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