v0.4.1 · MIT
让 Agent 的工作方式可组合、可审查、可持续改进,最终实现 Agent Self Evoling。 DeepSeek Harness Web plugin with composable task controls and isolated, human-reviewed self-evolution.
v0.2.22 · MIT
Interactive in-browser canvas for real-time preview of HTML, React components, SVGs, and diagrams with SSE hot-reload
v0.3.2 · MIT
Claude Code plugin that transforms vague requirements into detailed implementation plans via research, interviews, and multi-LLM review.
v0.25.4 · MIT
Evidence-backed UI delivery for coding agents working on existing Web products: declared criteria, criterion-bound artifacts, findings linked to declarations, and repair guidance. Evaluator review does not replace human semantic approval.
— · MIT
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.
— · MIT
ProMentor 是一个 AI Coding Agent Skill。装上它,你的 AI 编程助手立刻化身为导师——扫描项目架构、生成阶梯式 Chapter、带你手写核心逻辑、自动判题、AI Code Review。
— · Apache-2.0
AI-powered spec generation and review using multi-repo code graph intelligence for backend teams that ship to production.
v2.1.0 · Apache-2.0
A meta-skill that designs domain-specific agent teams, defines specialized agents, and generates the skills they use.
— · MIT
Set up Husky pre-commit hooks with lint-staged (Prettier), type checking, and tests in the current repo. Use when user wants to add pre-commit hooks, set up Husky, configure lint-staged, or add commit-time formatting/typechecking/testing.
v0.3.6 · Apache-2.0
Give DeepSeek Harness a real office environment. Univer Office Plugin brings spreadsheets, docs, slides, canvases, relational tables, and more into one runtime — with connected data, validation, versioned changes, and isolated worktrees for multi-agent collaboration.
v0.56.1 · MIT OR Apache-2.0
Linter for AI agent configurations. Validates SKILL.md, CLAUDE.md, hooks, MCP, and more.
v0.9.3 · Apache-2.0
A local detector for AI-writing patterns. Scores every prose file your agent saves. Python standard library only, no network, no model.
v1.1.1 · MIT
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.
v1.5.0 · MIT
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。
— · Apache-2.0
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.
v1.11.1 · MIT
Local-first agent plan annotator
— · MIT
Tailwind CSS v4 lint rules for oxlint that read your design system: unknown, conflicting and deprecated classes, theme colors and class order, with autofixes.
v2.0.0 · MIT
Static analysis scanner for MCP server code and multi-tenant SaaS applications. 57 deterministic rules covering tenant isolation, tool visibility, cache key scoping, RLS, IDOR, and credential vault isolation. MCP server for AI agent integration.
— · no license
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.
v9.7.0 · MIT
Your AI can write the UI. This makes sure it writes your UI. A deterministic scanner scores your design system 0-100 against 112 public repos, reads React and web components (Stencil, Lit), hands you a copy-paste fix prompt for each top finding, writes ru
v4.21.0 · MIT
Keep the state. Change the model. Shared context and a multi-model panel across Claude Code, Codex, Cursor, Antigravity, GitHub Copilot, and Muse.
v0.5.4 · MIT
Normify · DSH 插件:把项目架构写成归一化的分形模块树,三层校验(写时 / 校验 / 冻结回执)、30 个 normify_* 工具 + normify-gen 技能,一键渲染单文件交互式架构图;支持伴随式开发(change_open → brief → check → 实施 → refresh → change_close)。
v0.3.0 · MIT
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.
v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.