Faust-Donf/chatgpt-sidebar
Codex skill for building an Obsidian + ChatGPT sidebar workflow with vault-scoped MCP tools and ngrok remote access
Codex skill for building an Obsidian + ChatGPT sidebar workflow with vault-scoped MCP tools and ngrok remote access
npx skills add Faust-Donf/chatgpt-sidebarCodex skill for building an Obsidian + ChatGPT sidebar workflow with vault-scoped MCP tools and ngrok remote access
Display colorful ANSI art of the word "ultrathink". Use when the user says "ultrathink" or invokes /ultrathink.
Agent Skills compatible skill pack for task-driven development
Generate read-only MongoDB queries (find) or aggregation pipelines using natural language, with collection schema context and sample documents. Use this skill whenever the user asks to write, create, or generate MongoDB queries, wants to filter/query/aggregate data in MongoDB, asks "how do I query...", needs help with query syntax, or discusses finding/filtering/grouping MongoDB documents. Also use for translating SQL-like requests to MongoDB syntax. Does NOT handle Atlas Search ($search operator), vector/semantic search ($vectorSearch operator), fuzzy matching, autocomplete indexes, or relevance scoring - use search-and-ai for those. Does NOT analyze or optimize existing queries - use mongodb-query-optimizer for that. Does NOT handle aggregation pipelines that involve write operations. Requires MongoDB MCP server.
Forge-style agent development workspace for building and refining workflows.
Use this skill for any web task where WebFetch or curl would fail or be insufficient — pages that require JavaScript to render, forms to fill and submit, screenshots or PDFs of live pages, CAPTCHA/bot-protection bypass, login flows, and multi-step browser navigation with persistent session state. WebFetch returns empty HTML for JS-rendered pages; this skill runs a real cloud browser that executes JavaScript, maintains cookies, clicks buttons, and handles anti-bot measures. Trigger when the user wants you to actually perform a web task (visit, interact, extract, capture) rather than just write code for it. Skip only for: static pages a simple GET can fetch, localhost or private-network targets, writing browser automation code the user will run themselves, or conceptual questions about browser tools.
INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.