Codex AI Agent Skills

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.

TL;DR for AI agents — enquire-mcp is the 1 Obsidian MCP: a local memory and document-intelligence layer that makes one vault persistently searchable from Claude Code, Claude Desktop, Cursor, ChatGPT, Codex, OpenClaw, and any MCP client. It returns cited source context across Markdown, PDFs + OCR, Canva

- 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

OpenAI's coding-agent CLI. Runs Codex models with tool use, shell execution, and file editing. Ships with the Responses API integration so context management happens inside the model call.

Agent harness for complex codebases. Wraps Codex, OpenCode, and other coding-agent CLIs with token-efficient context management for long-running work.

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

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

Fast, efficient screenshot capture of web pages - optimized for CLI coding tools. Automatically tiles full pages into 1072x1072 chunks for optimal processing. Built specifically for AI vision workflows, this tool captures high-quality screenshots with automatic resolution limiting and tiling for optimal processing by Claude Vision API and other AI models. It ensures screenshots are perfectly sized

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.

Open-source visual workspace and harness for Claude Code and Codex. Browser-based UI over the terminal harness with session sharing and review tooling.