Codex AI Agent Skills

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

A cross-platform AI skill for clearer answers, smaller active workloads, and fewer cognitive dead ends. ADHD & 47 Tabs makes the useful part of an AI response easier to find, start, and finish. It is not a medical tool and does not diagnose or treat ADHD. No diagnosis is required. The skill uses four response contracts: 1. Answer: conclusion first, then necessary evidence and caveats. 2. Action: s

Write less code and say less about it. Honey (I Shrunk the AI) by GreenPT is a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — making agents emit less code and less prose without losing correctness. It works with Claude (claude.ai and the API), Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, Windsurf, Cline, OpenClaw, Kiro, and Kilo Code. Three independent

- Agentic SWMM for reproducible stormwater modeling: the aiswmm runtime + Skills + MCP + SWMM, with a verification-first workflow and Obsidian-compatible audit trail. - Five minutes, one command: an Agentic SWMM workflow that is auditable, memory-informed, and agent-ready. - Live demo (no install, offline case replay): try it in the browser at aiswmm.com. - SWMMCanada upstream, ready to use: insid

Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Also handles MCP setup and configuration.

Security scanner for AI coding agents, MCP servers, prompts, and AI-suggested packages. Run it before Claude Code, Cursor, Windsurf, Cline, OpenCode, or another agent trusts new code, tools, prompts, or dependencies. Scan any repo and get an A-F agent security grade: Install the scanner into your AI coding client: Replace claude-code with cursor, claude-desktop, windsurf, cline, kilo-code, opencod

Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown. Existing MCP web crawlers are slow and consume large quantities of tokens. This pauses the development process and provides incomplete results as LLMs need to parse whole web pages. This MCP package fetches web pages locally, strips noise, and converts content to clean Markdown while preserving links.