Generate or remediate documentation with human-quality writing and style adherence. Use when creating new documentation, rewriting AI-generated content, or applying style profiles. Do not use for slop detection only (use slop-detector) or learning styles (use style-learner).
Quickly install doc-generator AI skill to your development environment via command line
Source: athola/claude-night-market.
Documentation must be grounded in specific claims rather than abstract adjectives. We avoid filler phrases like "In today's fast-paced world" and focus on delivering useful information directly. Each claim should be supported by evidence, such as specific version numbers or request rates, rather than vague descriptors like "comprehensive."
We prioritize authorial perspective and active voice to maintain a consistent team tone. This involves explaining the reasoning behind technical choices, such as selecting one database over another, rather than providing neutral boilerplate. Bullets should be used sparingly for actionable summaries; multi-line bullet waterfalls should be converted to short paragraphs to preserve nuance.
Avoid business jargon and linguistic tics like mirrored sentence structures or excessive em dashes. We use the imperative mood for docstrings (e.g., "Validate input") and strictly avoid humanizing non-living constructs like code.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/athola/claude-night-market --skill doc-generatorGenerate or remediate documentation with human-quality writing and style adherence. Use when creating new documentation, rewriting AI-generated content, or applying style profiles. Do not use for slop detection only (use slop-detector) or learning styles (use style-learner). Source: athola/claude-night-market.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/athola/claude-night-market --skill doc-generator Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/athola/claude-night-market