gstack is Garry's Stack: AI coding skills + a fast headless browser binary + a design CLI. This file indexes every capability so agents can discover and invoke them without crawling individual SKILL.md files. Conventions: - Skills are invoked by name (e.g. /ship, /plan-ceo-review). - Browse commands run as browse <command> [args] (or $B shorthand). - Design commands run as design <command> [args] (or $D). - Project-specific config lives in CLAUDE.md. Always read it first.
taste-skill: The default design skill (v2 experimental). Read the brief, infer the design language, tune three dials (VARIANCE / MOTION / DENSITY), and ship landing pages, portfolios, and redesigns that do not look templated. Brief inference, design-system map, em-dash ban, GSAP code skeletons, hard-rules pre-flight check. Actively iterating toward v2.0.0 stable. taste-skill-v1: The original v1 of taste-skill, preserved for projects depending on its exact behavior. The current default is design-taste-frontend (v2 experimental). gpt-taste: Elite Awwwards-level frontend design and GSAP motion…
Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface. Version: 2.10.0 · Last updated: 2026-09-10 World Monitor is an open-source…
Real-time global intelligence dashboard — AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface. Version: 2.10.0 · Last updated: 2026-09-10 World Monitor is an open-source…
Give your AI agent eyes to see the internet. Agent Reach installs, routes, and health-checks upstream tools for 15 platforms — Twitter/X, Reddit, Facebook, Instagram, YouTube, GitHub, Bilibili, XiaoHongShu, LinkedIn, V2EX, Xueqiu, Xiaoyuzhou Podcast, RSS, web search, and any web page. One install, zero API fees.
https://api.browser-use.com/api/v1/openapi.json get /balance Returns the user's current API credit balance, which includes both monthly subscription credits and any additional purchased credits. Required for monitoring usage and ensuring sufficient credits for task execution. https://api.browser-use.com/api/v1/openapi.json get /me Returns a boolean value indicating if the API key is valid and the user is authenticated. https://api.browser-use.com/api/v1/openapi.json post /uploads/presigned-url Returns a presigned url for uploading a file to the user's files bucket. After uploading a file, the user can use the includedfilenames field in the…
Context optimization layer for LLM applications. Compress tool outputs, logs, files, and RAG chunks before they reach the model. Same answers, 60–95% fewer tokens. Library, proxy, and MCP server. Apache 2.0, local-first. Headroom is shipped as a Python package (headroom-ai), a TypeScript package (headroom-ai), an OpenAI + Anthropic-compatible HTTP proxy (headroom proxy), and an MCP server (headroomcompress, headroomretrieve, headroom_stats tools). All four modes use the same compression pipeline: per-content-type compressors (JSON, code, logs, diffs, text) feed into a Compress-Cache-Retrieve (CCR)…
Mem0 is a memory layer for LLM agents - persistent, self-improving context that survives across sessions. Two products share one mental model: Mem0 Platform (managed) and Mem0 Open Source (self-hosted). Every link below is tagged [Platform], [OSS], or [Both] so you can load only what the current user needs. Install the CLI, then mint a key without email, dashboard, or OTP: Then run: mem0 init --agent --agent-caller <your-name> --json. Replace <your-name> with the AI agent you are (e.g. claude-code, cursor,…
Pake turns any webpage or local web build into a lightweight desktop app, typically under 10 MB on disk, for macOS, Windows, and Linux. It uses Tauri (Rust) and the…
An open-source Model Context Protocol (MCP) server that indexes a codebase into a persistent knowledge graph of functions, classes, call chains, HTTP routes, and cross-service links. AI coding agents query the graph instead of reading files one by one, answering structural questions with roughly 120x fewer tokens (~3,400 vs ~412,000 across five structural queries). Parses 162 languages via vendored tree-sitter grammars, with Hybrid LSP semantic type resolution for Python, TypeScript/JavaScript, PHP, C#, Go, C/C++, Java, Kotlin, and Rust. It also…
Extended reference map for the OpenAI Agents SDK documentation site. Use these curated links when assembling prompts that need authoritative guidance on building, operating, and extending agentic applications with the SDK. The Agents SDK delivers a focused set of Python primitives—agents, tools, guardrails, handoffs, sessions, and tracing—plus voice and realtime interfaces. The pages below provide detailed walkthroughs, architectural patterns, and API-level documentation for integrating those capabilities into production systems.
Official documentation for building production-ready agentic applications with the OpenAI Agents SDK, a Python toolkit that equips LLM-powered assistants with tools, guardrails, handoffs, sessions, tracing, voice, and realtime capabilities. The SDK focuses on a concise set of primitives so you can orchestrate multi-agent workflows without heavy abstractions. These pages explain how to install the library, design agents, coordinate tools, handle results, and extend the platform to new modalities.
Make any website or Electron app your CLI. Zero setup. AI-powered. Convert any website into a deterministic CLI command. Reuse your Chrome login — no tokens, no API keys. OpenCLI gives you one surface for three kinds of automation: Requires Node.js >= 20. Install with: npx skills add jackwener/opencli Twitter/X, Xiaohongshu, Bilibili, Zhihu, LinkedIn, YouTube, Reddit, HackerNews, Weibo, Amazon, Bloomberg, V2EX, Boss直聘, Douyin, Spotify, WeChat, Xiaoyuzhou, NotebookLM, Claude, Gemini, GeoGebra, xueqiu, zlibrary, upwork, 1688, pixiv, and 80+ more. Full list:…
Persistent file-based planning for AI coding agents and long-running agent tasks. The agent keeps task_plan.md, findings.md, and progress.md on disk so plans survive /clear, context loss, and crashes, with automatic session recovery, an opt-in deterministic completion gate, and multi-agent shared state. Manus-style. Installs across 60+ agents via the SKILL.md open standard. Keep the plan on disk. planning-with-files writes task_plan.md, findings.md, and progress.md as durable files, re-injects the active plan at the start of each turn, and runs session recovery after…
A comprehensive, self-contained description of the alirezarezvani/claude-skills repository, written for AI agents and LLM crawlers. This file follows the llms.txt convention (llms-full.txt variant: the expanded, single-file version). For the concise index, see llms.txt. This is a library of skill packages for Claude AI and Claude Code — reusable, production-ready modules that bundle domain expertise, best practices, deterministic analysis tools, and strategic frameworks. It is not a traditional application. It is a catalog of self-contained skill folders meant to be extracted…
An open-source (MIT) library of 354 production-ready agent skills, 82 installable plugins, 96 agents, and 102 slash commands across 18 domains — engineering, product, marketing, compliance, finance, research, and more. Each skill is a self-contained package bundling domain expertise, deterministic Python tools (stdlib-only, no LLM calls), reference knowledge bases, and ready-to-use templates. Skills are portable across Claude Code, OpenAI Codex, Gemini CLI, Cursor, Hermes Agent, Mistral Vibe, OpenClaw, and 6+ more AI coding tools. This file follows the llms.txt convention.…
A curated collection of 280+ n8n automation workflow template files. Organized by platform (Gmail, Telegram, Slack, Discord, WhatsApp, Google Drive, Notion, WordPress) and use case (AI/LLM integration, email automation, social…
A community-driven collection of 59 runnable Jupyter notebooks implementing Generative AI agents, from a single conversational bot to multi-agent systems, self-improving agents and complete applications. Each notebook is a self-contained…
garrytanllms.txt
