skills

Run the slop-cop CLI on a file (or stdin) to detect LLM-generated prose tells, and report the violations. Bootstraps the prebuilt binary into the plugin's persistent data dir on session start.

Get a second opinion from OpenAI's Codex CLI when stuck on difficult debugging, code analysis, or architecture problems, or generate images with Codex's $imagegen skill. Requires the `codex` CLI on PATH.

Scaffold new repos with proven conventions: agent docs (AGENTS.md/STYLEGUIDE.md), Claude Code settings, semble code search, capt-hook guard hooks, a generated mascot logo + README banner + GitHub social-preview card, and an opinionated Python layer (uv, Click, pytest, ruff, ty) with optional Great Docs and tag-driven PyPI trusted-publishing features.

Guidelines for writing effective LLM prompts and agent instructions: positive framing, XML structure, model-appropriate complexity, and current per-provider model behaviors (Claude Opus 4.x, GPT-5.x, Gemini 3). Use when writing or improving system prompts, agent or tool instructions, or few-shot examples.

Apply Diataxis modes and proven documentation craft (a technical-builder voice, runnable code samples, quickstart design, README anatomy, accessibility) plus a required slop-cop prose-lint pass when writing or revising project documentation, READMEs, tutorials, how-tos, or reference.

Generate project images — mascot logos, README banners (dark/light), social cards, arbitrary illustrations — via the OpenAI Images API with local <1MiB compression. Used standalone or by repo-bootstrap and gh-profile.

Create or non-destructively refresh a fancy GitHub profile README (the <username>/<username> repo) from real data — repos, stars, languages, releases, recent activity — with marker-delimited sections kept fresh by a committed cron updater, flattery gates that hide unimpressive numbers, a snake animation, and an opt-in daily Claude refresh that summarizes recent commits and releases into the activity/shipped lines. Requires the gh CLI authenticated with repo + workflow scopes; the AI banner comes from the gen-image plugin.

Maintain a Claude-written summaries sidecar in any repo: a stdlib-only template module (summaries.py — whole-file staleness gate, sanitizing, key matching) that consumer render scripts commit and read, plus a config-driven headless refresh skill that rewrites the sidecar whole from real commit/release data with reuse-before-rewrite and a strict flattery law. Consumers describe their groups, raw-material recipes, and render command in .github/summaries.config.json; the gh-profile plugin is the reference consumer.