Anti Slop

No AI Slop is an AI-writing editing skill that removes more than 20 canned machine-writing patterns while preserving the author's vocabulary, cadence, humor, and imperfections. Its rules target binary contrasts, throat-clearing openers, faux-insight setups, colon reveals, dramatic fragments, superficial analysis, importance puffery, weasel attribution, synonym cycling, and fake-profound endings; they also cover active voice, leading with the point, untangling difficult sentences, and preferring concrete details over abstractions. The skill supports editing text, detecting and quoting suspected patterns without judging whether AI produced the writing, and generating deliberately exaggerated AI writing for satire. It can be invoked as `/no-ai-slop` in ChatGPT, Claude Code, Codex, or another coding agent, and is distributed through the Skills package manager or an npx command. The repository contains the editing rules in SKILL.md, evaluation checks in eval.md, ChatGPT and Codex plugin metadata, and a plugin build script; it is licensed under MIT.

SlopMonster is a Python linter for detecting formulaic or suspicious AI-generated writing in HTML pages, Markdown, plain text, landing pages, READMEs, emails, and scripts. Its scorer checks AI-associated vocabulary, sentence constructions, punctuation cadence, rule-of-three rhythms, and unsupported sales claims, assigns a score out of 5, and can fail a build when copy scores below 5/5. Its workflow scores the draft, performs a three-pass rewrite that removes suspect vocabulary and sentence shapes and replaces them with specific copy, sends the draft to a different model family for cleansing, and scores the result again. The cleansing script can use a Codex or Claude CLI, refuses to route a draft back to its own model family, and prints a prompt when no supported rival CLI is available. A GitHub Actions workflow is included as a reusable build gate; the scorer itself uses only Python's standard library, while the cleansing step requires an external AI CLI or manual prompt handling. The repository also includes regression tests, a catalogue of detection rules, rewrite principles, and worked before-and-after examples. It is distributed under the MIT license and can also be installed as an agent skill for Claude Code or used by other agents through its plain-Markdown instructions.

AI Design Skills is an MIT-licensed collection of Markdown design skills for AI coding tools such as Claude Code, Cursor, Codex, Windsurf, and Cline. Its skills provide coding agents with guidance for landing-page strategy, page structure, conversion copy, typography, spacing, visual systems, border radius, and motion. Each skill is stored as a self-contained folder with a SKILL.md file that can be copied into an agent's project-rules directory, added to a system prompt, or uploaded to a Claude.ai project. The repository currently documents a landing-page-design skill that asks intake questions, builds the page structure and copy, and defines the visual system; its design values are grouped in an editable section so users can change fonts, colors, spacing, and motion. The collection can be forked and used, modified, distributed, or used in commercial work under the MIT license.

Agent Skills is a curated skill registry and npm-based CLI for extending AI coding agents such as Claude Code, Cursor, Copilot, and Antigravity with packaged instructions, templates, and reference files. The CLI fetches a catalog, lets users search and select skills, caches downloads locally, and installs them to selected agents by copying or symlinking them at global or project scope; it also supports updating, removing, auditing, and managing cached skills. The repository describes the catalog as an open-source, human-curated library with CI static analysis, content hashing, lockfiles, path isolation, symlink guards, sanitization, audit logging, and Snyk Agent Scan checks. It also includes an MCP server that exposes progressive-disclosure tools for listing, searching, reading, and fetching skill files. The CLI source is MIT-licensed; maintainer-authored skills are generally CC BY 4.0, while third-party skills retain their own licenses.

sloptrim is a local prose linter and coding-agent plugin that detects patterns associated with AI-generated writing when an agent saves a document. It extracts prose from supported text and office formats, scores it on a 0–100 scale, and reports suspicious spans for revision; it analyzes writing patterns rather than determining authorship and does not process code. The command-line tool uses Python's standard library, requires no model or network connection, and keeps text on the local machine. It integrates with Claude Code and can be initialized for other agents through an agent contract and editor-rule files.