v3.1.0 · MIT
Reverse engineer anything with agents, from app behavior down to native binaries.
v1.0.6 · MIT
Open-source desktop AI agent workspace with one-click Claude Code, Codex, OpenClaw, Hermes Agent setup and custom LLM model routing.
— · Apache-2.0
The community-driven Claude Code plugin marketplace for MSPs — 70+ plugins across PSA, RMM, security, documentation, and accounting, plus cross-vendor industry workflow packs (ops, security, finance, compliance, sales, DevOps, cloud infra) that compose whatever tools you have connected.
v0.0.0 · MIT
Skybridge is a full-stack TypeScript framework for MCP Apps and ChatGPT Apps. Type-safe. React-powered. Platform-agnostic.
— · no license
Ed's repo of Claude Code plugins, centered around a research-plan-implement workflow. Only a tiny bit cursed. If you're lucky.
v1.12.0 · Apache-2.0
Your coding agent designs terrible UI. stitch-kit wires it into Google Stitch MCP and teaches it the whole pipeline — ideation, screen generation, design systems, production components.
v0.2.0 · Apache-2.0
🐳 DeepSeek Harness Desktop
— · no license
SAIL V2 (Secure AI Lifecycle) as an agent skill — the full 91-risk catalog for AI/agent gap assessments, security roadmaps, and compliance checklists. Installs on Claude Code, Codex, ChatGPT, Antigravity, and any SKILL.md-compatible agent.
v1.2.0 · MIT
50+ consulting frameworks used by McKinsey, BCG, Bain, and Accenture — packaged as a Claude Code plugin
v0.6.5 · MIT
確定申告自動化 AI エージェントプラグイン — 帳簿管理から e-Tax 入力代行まで
v0.7.2 · MIT
Persistent project memory for AI coding agents. Structured scaffold + drift detection CLI.
v0.2.16 · MIT
DeepSeek Harness 插件:在对话中搜索、安装和管理 SkillHub 技能
v5.1.0 · MIT
Automates mountain route research for North American peaks. Aggregates data from 10+ mountaineering sources to generate detailed route beta reports with weather, avalanche conditions, and trip reports.
v1.2.1 · MIT
Eco mode for Claude Code. /eco: -31% to -73% output tokens with critical findings intact; /eco-max: up to -75% with lowered effort. Measured hardest on Claude Fable 5 (fable5), deep-studied on Sonnet 5, works on Opus 4.8 too. We publish our negative results. 82 raw benchmark runs.
v1.2.0 · MIT
SRE thinking applied to Claude Code, based on Boris Cherny's Q&A. It enforces a strict 4-stage pipeline with gates between each step. You literally cannot skip verification. You cannot ship without approval.
v0.5.3 · MIT
Run budgeted reports and datasets with Hound, Webhound's DeepSeek V4 Pro + GPT-5.4 research harness, and return inspectable cited evidence.
— · MIT
📋 Prompt-engineering and project-roadmap plugin that crafts professional xml prompts and picks, surveys, and tracks your next tasks.
v0.2.19 · MIT
General-purpose MCP connector, connection manager, plugin extension, and integration marketplace for DeepSeek Harness, initiated and maintained by Qichacha/QCC.
— · MIT
Memory for Claude Code that survives the session boundary — install the plugin into any repo: a hot cache injected every session under three hook-enforced caps, per-session handoffs, audit-driven promotion into knowledge and rules, plus agent orchestration and QA layers. Zero deps.
v1.3.0 · MIT
Browse every recent Claude Code session across all your projects and jump back into any of them. Shows project path, summary, git branch, model, turn count, and a ready-to-paste resume command. --open re-opens a whole working set in terminal tabs. Local files only: no network, no telemetry.
v0.1.0 · MIT
为 DeepSeek Harness 提供电脑控制插件:新鲜 Accessibility 观测、过期状态拒绝、作用域权限与安全输入(目前支持macos)|Accessibility-first macOS Computer Use bundle for DSH with fresh observations, stale-state rejection, scoped permissions, and safe input.
v1.1.1 · MIT
gemini drawing MCP & skill through browser, can be used in openclaw or any agent that supports MCP. Gemini画图 MCP和sill,支持龙虾或任何agent使用٩(๑>◡<๑)۶
v1.4.0 · MIT
Claude Code skill that forces AI to understand before executing. Three disciplines: cognition check, requirement understanding, method search.
— · MIT
AI agent skill to generate beautiful, unique slide decks with reveal.js - new design for every prompt.