Plugins

from DennisLiuCk/cc-toolkit

from TheBushidoCollective/han

Ruby craftsperson agent for Ruby and Rails applications

Ruby language server for code intelligence and analysis

Complete toolkit for building Model Context Protocol servers in Ruby using the official MCP Ruby SDK gem with Rails integration support.

Ruby 4+ and Rails 8+ expert skills: mise toolchain, Ruby LSP, RBS/Sorbet type signatures, Active Record, Hotwire, testing, security, performance, and Kamal deployment

Drive a UVC webcam and the OBSBOT Tiny 2's AI features through the rubycam CLI.

from jwplatta/agent-cubicle

Move one repo or a whole fleet onto a new ruff release — work out which rules the release can actually fire against each repo's own select list, gate on the resolver being able to see the version at all, then land one reviewed commit per rule with the upstream rule doc cited

在修改 Python 文件后自动执行 ruff format 和 ruff check --fix

Three-agent workflow for orchestrated software delivery with an orchestrator plus implementation and QA subagents.

Discipline for writing rules that hold up under pressure. Treats rule authoring as TDD: pressure-test a candidate rule with adversarial scenarios, capture the rationalizations agents use to bypass it, and rewrite until the rule closes those loopholes.

from hivellm/rulebook

Pluggable rule-injection engine: loads .claude-rules/ruler.yml from target project and injects rules via UserPromptSubmit / PreToolUse hooks. Engine-only, zero business rules.

How to work with code — language standards, security, quality, git, CI/CD, Docker, MCP, documentation

코드 생성 및 리뷰 시 참고할 코딩 컨벤션과 성능 최적화 규칙 (38개 규칙)

General rules and guidelines for AI agents when working on code repos.

Core: rules-as-tests skill, sub-agents, session hooks, and the /install-enforcement seam

Automatically detects and documents user preferences, coding rules, and style guidelines when expres

Use rumdl to format/lint Markdown

Use skill if you are driving the agent-browser CLI for ad hoc browser automation — @ref snapshots, sessions, forms, extraction, screenshots, headed/stealth, or provider runs.

Use skill if you are driving a large, ambiguous initiative (modernize, rewrite, migrate, greenfield, or a multi-component bug hunt) and want scored multi-round question alignment before orchestrating parallel execution.

Use skill if you are fanning out many parallel Codex adversarial reviews across derived lenses, independently verifying every finding, fixing confirmed issues in grouped worktrees, and looping until clean.

Use skill if you are running Codex review loops across current branches, multiple lenses, comparisons, convergence rounds, or saved review runs.

Use skill if you are running deep multi-file research over 5+ entities or a market/category — a wave-dispatched evidence corpus on disk, executed by Claude subagents or codex exec.

Use skill if you are discovering GitHub repos, shortlisting candidates for a concrete need, or comparing OSS projects with adaptive search and repo evidence.

Use skill if you are running railway CLI commands for deploys, logs, env vars, link, ssh, db shells, scaling, or reconciling installed CLI vs upstream docs.

Use skill if you are finishing a project and want every live branch and worktree reviewed and merged into main locally, dangling branches retired, and junk swept aside.

Use skill if you are answering one technical research question with current web evidence, Reddit practitioner experience, and source-backed synthesis, optionally fanned out across parallel subagents.

Use skill if you are reviewing a PR or diff, asking for review on your branch, triaging received review feedback, or delegating review to codex.