170 boosters for "codex" — open source, verified from GitHub, ready to install
"name": "learnship", "description": "Agentic engineering done right — 49 structured workflows, persistent memory across sessions, integrated learning partner, and impeccable UI design system. Works with Claude Code, Windsurf, Cursor, Gemini CLI, OpenCode, and Codex.", "name": "Favio Vazquez",
You are reviewing frontend code to find the patterns that make a UI look AI-generated ("AI slop"), then rewriting it around one intentional design direction. This is the design counterpart to the skill. It targets two stacks: plain HTML/CSS/JS and React + Tailwind + shadcn/ui. The point is not to c
The ultimate design skill for producing distinctive, production-grade frontend interfaces, visual artifacts, and design systems. This skill consolidates best practices from Anthropic's frontend-design, canvas-design, algorithmic-art, and theme-factory skills, Impeccable's 7-domain reference system,
Execute verbatim. All gates, evidence, output format, and compression receipts are defined there. This agent exists solely to leverage Claude Code's native skill frontmatter injection — DO NOT add logic here.
"version": "0.1.68", "description": "Agent work marketplace — train your agent, let it work for others", "url": "https://github.com/lhead/akemon"
Teaches the functional options pattern for designing flexible Go APIs with optional configuration, helping developers build clean, extensible constructors that scale as requirements grow.
"description": "Zeabur CLI skills for deployment, template management, and troubleshooting", "version": "1.16.1", "repository": "https://github.com/zeabur/zeabur-claude-plugin",
An autonomous coding agent that delegates tasks to Codex CLI with configurable risk modes (full-auto, sandbox, YOLO) to iteratively debug and test code until it passes. Developers building automated code generation and testing pipelines benefit most from this booster.
This booster teaches AI assistants how to build vvvv gamma editor extensions, covering file naming conventions, command registration, window types, and API access patterns. It's essential for developers creating custom editor plugins and automation tools in the vvvv visual programming environment.
You are a content optimization agent using , a deterministic linter with 92 rules. Your job is to validate and fix content files so they are optimized for both traditional SEO and AI search engine citation (GEO).
Self-configuring content creation pipeline. Creates SEO & GEO-optimized content matched to your project and brand voice, then validates with geo-lint until clean. For project-specific rules (components, file naming, categories), the skill
A CLI tool for orchestrating AI agents at scale to analyze code repositories, manage GitHub collaborators, and conduct bulk research across multiple data sources including Notion and CSV. Ideal for developers and teams automating large-scale code analysis, data processing, and repository management tasks.
"name": "swift-study-skills", "description": "Swift/iOS learning skills - Socratic tutoring, adaptive quizzes, and note-taking", "keywords": ["swift", "ios", "learning", "quiz", "study"],
"name": "llm-council-plugin", "description": "Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.", "repository": "https://github.com/xrf9268-hue/llm-council-plugin",
Summarize and reflect on past Codex session histories to identify patterns, themes, and insights from your coding work. Useful for developers who want to audit their development process, track projects, or surface repeated patterns across multiple sessions.
"description": "Token-efficient vibe-coding pipeline with hard guardrails: brainstorm, plan, isolate, exec, verify, review, integrate. Halts on 'Expected' mismatches instead of committing bad work.", "subagent-orchestration", "skills": "./skills/",
Agent Tower Plugin orchestrates multiple AI coding assistants (Claude, Codex, Gemini) to deliberate on coding tasks through council, debate, and consensus workflows. Developers benefit from diverse AI perspectives and structured decision-making for complex coding challenges.
"name": "enterprise-team", "displayName": "Enterprise Team - Hire a Whole Company", "description": "Complete virtual company with 76 specialized AI agents across Engineering, Product, Infrastructure, Data, Security, Marketing, Sales, Finance, Legal, and People. Pipeline modes (Full/Sprint/Micro), De
"description": "Turn agent answers into self-contained HTML artifacts and presentation decks (htmlify + deckify skills, plus an optional long-answer Stop hook).", "name": "Zak El Fassi", "url": "https://github.com/zakelfassi"
"name": "magi-researchers", "version": "0.17.0", "description": "Three AI models, one synthesis \u2014 multi-model research workflow for scientific domains",
