— · MIT
Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
— · MIT
Spec-driven development with smart compaction. Claude Code plugin combining Ralph Wiggum loop with structured specification workflow.
— · MIT
🪝 Claude Code hooks + an installable plugin marketplace: safety, cost, observability, productivity.
v0.10.0 · MIT
The OKF toolkit for Claude Code — author, maintain, validate & visualize Open Knowledge Format bundles. Plugin, agent skills, and a GitHub Action.
— · Apache-2.0
Bounded-autonomy plugin harness for agents. Intent to implementation: ready, then go.
v0.28.0 · MIT
Claude Code plugin: run the Antigravity CLI (Gemini) as a collaborating sub-agent with intelligent model routing across the SDLC. Community project; not affiliated with Google/Anthropic.
v1.2.0 · MIT
Give Claude the ability to watch and understand videos — Claude Code plugin with frame extraction and multimodal audio analysis
v0.18.0 · MIT
Agent Skills for end-to-end story writing in markdown, packaged as Codex and Claude Code plugins.
— · MIT
Claude Code plugin that generates production-grade Python CLIs for any web app. 20 CLIs and counting.
v0.2.0 · MIT
Claude Code plugin for Symfony 7.4 LTS & 8.x — 44 skills, 7 AI subagents & 13 commands for API Platform v4, Doctrine ORM 3, TDD (Pest/PHPUnit), Messenger, security & DDD.
— · MIT
Turn human SOPs into deterministic, gated agentic workflows — a Claude Code plugin.
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.
v0.3.0 · Apache-2.0
Claude Code plugin: use ChatGPT (Codex), Cursor, OpenCode Zen, and Antigravity models inside one Claude Code session. Switch with /model, delegate to named native workers, keep each provider's own login and permissions.
v0.7.0 · MIT
ISO 24495 Plain Language skills and plugin
— · BSD-3-Clause
Lossless context compression plugin for Claude Code & OpenCode.
v0.4.19 · MIT
你的随身 AI 剪辑搭档 | Pocket AI co-editor for video montage — AI video editing plugin & MCP server for Claude Code, Codex, Hermes & OpenCode
v0.8.4 · MIT
Disciplined Agentic Engineering — a methodology kit for Claude Code: acceptance-test-first specs, explicit checkpoints, and autonomy you can actually leave running. The engineer, atdd and crap-analyzer plugins.
v2.5.0 · MIT
A Claude Code plugin that interviews you, designs the whole architecture, and writes a self-contained blueprint another Claude Code instance builds from with zero context — EARS acceptance criteria and a runnable verify command on every build step. 14 project shapes, greenfield and brownfield. EN/ES.
v0.7.0 · MIT
Make AI output sound human. Strips AI-isms (sycophancy, stock vocab, hedging stacks, em-dash pileups), preserves code/URLs/headings. Plugin for Claude Code, Cursor, Windsurf, Codex, Cline, Copilot, Gemini.
v0.1.0 · Apache-2.0
A Claude Code plugin that reverse-engineers clean behavioral specs, test vectors, and acceptance criteria from any codebase, producing a provenance trail so a fresh team can reimplement without inheriting the original's internal structure.
v3.2.0 · MIT
Andrej Karpathy's LLM Wiki pattern as a skill & Claude Code plugin — turn accumulated sources into a self-maintaining, scalable markdown knowledge base.
v4.12.1 · MIT
Claude Code plugin that tracks token usage, identifies wasted context, and saves 30-50% on API costs. Heatmaps, ROI reports, budget alerts, efficiency scores, git-aware suggestions — all local, zero config.
— · MIT
UI/UX system for Claude Code: 71 plugins, 93 agents, 74 skills. Design mastery, archetypal design, accessibility, and frontend workflows in one validated plugin marketplace.
v1.5.0 · no license
Claude Code plugin for designing modular systems from functional requirements and reviewing existing codebases for modularity problems with actionable improvement recommendations. Based on the Balanced Coupling model.