Decision page
Compare the best Codex skills for automation with clearer trade-offs, ranking signals, and workflow fit.
This decision page compares the strongest 12 candidates for automation on Codex, so users can move from exploration to an actual choice.
Matched Skills
12
Quality Score
113.4
Demand Score
0.92
If you want a broader browse before deciding, step back to the matching workflow-and-platform route.
These sibling pages show how the same workflow looks when constrained to a different platform.
Broaden the path when you want to move from a comparison page back to the larger discovery structure.
These recommendation notes explain why the strongest candidates ranked into this intent page instead of just appearing in a generic directory list.
Codex compatible, strong automation match, high quality signals
Codex compatible, strong automation match, high quality signals
Codex compatible, strong automation match, high quality signals
Each skill below is matched against the workflow intent, platform constraints, and quality signals captured in the current sync pipeline.
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.
git clone https://github.com/tianyilt/claude-fleetUnity MCP acts as a bridge between AI assistants and your Unity Editor. Give your LLM tools to manage assets, control scenes, edit scripts, and automate tasks within Unity.
The intent layer only publishes pages that can support a distinct shortlist and a clear decision path.
The page is optimized for decision-making, so it emphasizes trade-offs instead of a broad browse view.
Codex support and automation fit both need to be strong enough to justify comparison.
Only workflows with enough candidate depth move into a best-of page.
Skills need enough structured facts and repository quality signals to support an indexable page.
A few quick answers on how this page is assembled and when it earns a spot in the search index.
Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
claude mcp add mobile-mcp -- npx -y @mobilenext/mobile-mcp@latest🌊 The leading agent meta-harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
npx ruflo initChrome DevTools for coding agents
claude mcp add chrome-devtools --scope user npx chrome-devtools-mcp@latestGitHub's official MCP Server
claude mcp add github -e GITHUB_PERSONAL_ACCESS_TOKEN=$GITHUB_PAT -- docker run -i --rm -e GITHUB_PERSONAL_ACCESS_TOKEN ghcr.io/github/github-mcp-server
# In config files (where supported)
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "$GITHUB_PAT"
}High-performance code intelligence MCP server. Indexes codebases into a persistent knowledge graph — average repo in milliseconds. 158 languages, sub-ms queries, 99% fewer tokens. Single static binary, zero dependencies.
git clone https://github.com/DeusData/codebase-memory-mcp.gitContext window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.
claude --versionStreaming music player that finds free music for you
claude mcp add nuclear --transport http http://127.0.0.1:8800/mcpThe fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
npx create-mcp-use-app@latestA Model Context Protocol (MCP) server and CLI that provides tools for agent use when working on iOS and macOS projects.
brew install xcodebuildmcpFast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read
uvx --from "semble[mcp]" sembleThe list favors install-ready repositories with clearer workflow fit instead of raw repository volume.