Claude Code plugin that transforms vague requirements into detailed implementation plans via research, interviews, and multi-LLM review.

A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.

A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.

Linter for AI agent configurations. Validates SKILL.md, CLAUDE.md, hooks, MCP, and more.

genshijin 原始人 🗿| Claude Code / Codex等AIエージェント 向け超圧縮コミュニケーションスキル。caveman の日本語版をベースに、日本語特有の冗長表現に最適化。

USPTO patent creation system with MCP server + Claude Code plugin. Hybrid RAG search over MPEP/USC/CFR, BigQuery access to 76M+ patents, automated 35 USC 112 compliance checks, prior art search, diagram generation. GPU-accelerated with skills and autonomous agents.

Keeps coding agents on your design system: catches palette colors, native elements and APIs your system lacks, at every edit and pull request, with the fix. Set it up once in your design-system package; every app in your monorepo gets it.

Static analysis for AI agent configs, tool descriptions, and system prompts — catches vague tool descriptions, missing stop conditions, and schema gaps before they reach runtime. Zero-LLM, deterministic checks, built for CI.

Tailwind CSS v4 lint rules for oxlint that read your design system: unknown, conflicting and deprecated classes, theme colors and class order, with autofixes.

Local-first agent plan annotator

Feed your agent papers and half-formed ideas — it links them into a system design you can defend. Markdown keeps the record; a visual canvas makes it readable. An Agent Skill for Claude Code & any SKILL.md-compatible agent.

AI design system scanner + mcp server. Scores repos 0-100, writes fix prompts. 30K+ npm downloads.

The linter for your agent harness. Works with Claude Code, Codex, and Cursor.

Claude Code plugin for autonomous AI research — multi-agent loops take a bare topic all the way to running experiments, with no human-written experimental code.

Devil's advocate for coding agents. Stress-tests plans, architecture and decisions with a steel-man, an assumption audit and a pre-mortem, then gives severity-rated findings and a verdict. Works in Claude Code, Codex, Cursor, Gemini CLI, Copilot and 12 more.

Comprehensive linter and programmatic API for Claude Code projects - validates CLAUDE.md files, skills, settings, hooks, MCP servers, plugins, and more

A prose linter that sniffs out AI writing tells. Zero dependencies, countable rules plus one judgment model.

Reverse-engineer design systems from any website, repo, or project. Extracts colors, fonts, spacing, animations, and components - packaged as a .skill file for Claude. Pure static analysis, zero AI, zero API keys.

Make any repo AI-first - write sustainable code from the start, or refactor a legacy codebase to prepare it for agent-driven development.Building blocks for Claude Code: subagents, slash commands, hooks, and workflow patterns. Copy what you need. A working developer's stack for Claude Code.

Claude Code plugin that stops Claude writing like an AI. 29 researched patterns, loaded every session and checked on every file write.

Show the instruction graph your coding agents actually receive.

Multi-language comment detection hook for Claude Code/OpenCode. Native binary powered by tree-sitter.

Linter for AI agent context files and MCP configs: CLAUDE.md, AGENTS.md, .cursorrules, .mcp.json - catches broken paths, wrong commands, leaked secrets

Claude Code plugin for building LLM-maintained Obsidian wikis from raw research — compile, query, lint, and evolve your personal knowledge base. Inspired by Karpathy's knowledge base workflow.