Find and flatten "fake layer" indirection in a TypeScript codebase — functions with exactly one caller that only forward, reshape, or inject dependencies and add no fact. Runs a deterministic AST detector that flags candidates, then uses agent judgment to inline the real slop while keeping functions that do real work (type narrowing, throwing, validation, lifecycle). Use when asked to reduce over-abstraction, "un-slop" or simplify code, flatten dependency-injection ceremony, delete single-use wrappers, or clean up AI-generated indirection. Pairs with a goal/loop prompt to run iteratively across a codebase until clean.
Guides maintainability-first cleanup, refactoring, and review in strict TypeScript repos and monorepos. Use when improving code health, deleting dead code, reducing duplication, or enforcing boundaries.
Detect and eliminate common AI writing tropes from prose. Use when drafting, editing, or reviewing text to avoid the predictable patterns that mark AI-generated writing.
Use when writing or improving README files. Not all READMEs are the same — provides templates and guidance matched to your audience and project type.
Write, review, and restructure useful documentation with Diataxis, audience-specific README patterns, and AI-writing trope cleanup. Use when creating docs, improving READMEs, reorganizing documentation, or editing prose for clarity.
Designs and reviews WebMCP instrumentation for existing web apps, especially SPAs. Use when adding agent-accessible tools, route maps, prompts, or WebMCP workflows to a React, Vue, Angular, or vanilla browser app, or when deciding whether WebMCP is the right fit.