slop-cop

skills

A Claude Code plugin marketplace of small, focused skills. Each plugin installs independently.

Plugins

Plugin	What it does	Prerequisites
slop-cop	Check a file or text for LLM-generated prose tells and report the violations.	None; a SessionStart hook bootstraps its prebuilt binary.
codex	Get a second opinion from OpenAI's Codex CLI on hard debugging or design problems.	The codex CLI on PATH.
repo-bootstrap	Scaffold a new repo with proven conventions: agent docs, Claude Code settings, guard hooks, plus an opinionated Python packaging layer.	uv (for the hooks and the Python layer); gh recommended.
llm-prompts	Guidance for writing effective LLM prompts and agent instructions, refreshed with current per-provider model behaviors.	None; slop-cop recommended for the post-edit prose check.

Install

Add the marketplace, then install the plugins you want:

/plugin marketplace add yasyf/cc-skills
/plugin install slop-cop@skills
/plugin install codex@skills
/plugin install repo-bootstrap@skills

To try it from a local checkout before publishing:

/plugin marketplace add ~/Code/cc-skills

slop-cop

Wraps the slop-cop CLI. Ask the agent to "check this file for slop" (or name a path) and it runs slop-cop check, auto-detecting the input language and masking non-prose regions, then reports the violations grouped by category. It only rewrites the file if you ask. A SessionStart hook fetches the host-matched binary from the latest yasyf/slop-cop release into the plugin's persistent data dir, so no Go toolchain is needed and there is no first-call download stall.

codex

A second-opinion escape hatch for when you're stuck after a couple of failed attempts. The skill gathers full context, hands it to codex exec, and returns a structured summary you can verify. It needs the OpenAI Codex CLI installed and authenticated on your machine.

repo-bootstrap

Scaffolds a new repo with conventions that work out of the box, so you skip the first day of setup. Every repo gets a base layer: agent docs (AGENTS.md/CLAUDE.md/STYLEGUIDE.md), a README skeleton, Claude Code settings, semble code search, and capt-hook guard hooks. Python projects also get an opinionated packaging layer: uv with the uv_build backend, a Click CLI, loguru, pytest, strict pyright, Great Docs published to GitHub Pages, and tag-driven PyPI releases via trusted publishing. Say "bootstrap a new repo" or "scaffold a new Python package".

llm-prompts

Packages the team's prompt-writing guidance as a skill: positive framing, contrastive examples, XML tag structure, reasoning-first output, and the current per-provider knobs (effort/verbosity/thinking) for Claude, GPT-5.x, and Gemini. Deeper per-provider notes live under its reference/ folder. repo-bootstrap installs a companion capt-hook nudge that points prompt edits back at this skill.

License

MIT. See LICENSE.