What is antislop?
antislop is a rulebook for AI coding agents rather than a standalone assistant or a visual style guide. Its core filter covers interface design, writing, accessibility, responsive layouts, and code comments. Optional skills provide task-specific guidance, while a Delivery Gate asks the assistant to produce a PASS/FAIL report before delivery.
It can be installed as skill folders at project or user scope, loaded through supported agents' plugin systems, or supplied as a single Markdown file in a chat. The rules can guide work during creation or audit existing output before approved fixes. Visual direction remains the user's responsibility: the project requires a DESIGN.md file for UI intended to ship and labels work without it as a draft without direction.
Key capabilities
- Core rules Applies tiered rules that reject generic patterns and question techniques without a clear purpose.
- Task-specific skills Adds guidance for UI, copywriting, accessibility, responsive layouts, and code comment cleanup.
- Creation and audit modes Guides new work or lists findings in existing output before the user approves fixes.
- Delivery reporting Requires the assistant to produce a PASS/FAIL report before delivery.
- Flexible installation Supports project-level or user-level skill folders, agent plugins, and a standalone Markdown rulebook.
- Visual direction checks Separates pattern filtering from the design direction supplied by the user.
Where antislop fits
antislop fits workflows where developers and teams already use an AI assistant to build interfaces, write copy, or review generated work. It can guide a new page as it is built or audit an existing result, presenting findings for approval before changes are made.
Before deployment, teams should check their agent's installation route, the installer's Node.js requirements, and whether the rules load in a new session. They should also supply visual direction for production UI and establish an update routine, since installed copies do not update themselves.
Install
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