Generates production-grade synthetic datasets from scratch or from seed data using dependency-aware samplers, LLM-backed text columns, built-in validators, previewing, and LLM-as-judge scoring.
Provides 22 scripts that let Claude Code build, test, and interact with iOS apps by wrapping xcodebuild and controlling the simulator via simctl/idb. Uses accessibility-driven UI navigation, progressive build summaries, and compressed screenshots to cut token cost and fragility for AI agents and developers.
Provides 223 production-ready agent skills and plugins plus 298 stdlib Python CLI tools to add domain expertise to coding agents. Includes cross-tool conversion (11 platforms supported), personas, orchestration patterns, and a skill security auditor.
Provides 134 ready-to-use Agent Skills that let AI agents execute multi-step scientific workflows (bioinformatics, cheminformatics, imaging, clinical research). Each skill includes curated docs and examples plus unified access to 100+ scientific databases and common Python packages — for agents that support the Agent Skills standard.
A library of ~140 ready-to-use Agent Skills that turn a coding agent (Claude Code, Cursor, Codex) into a science assistant across biology, chemistry, medicine, and drug discovery, with connectors to 100+ scientific databases and Python analysis tools.
Bundles 66 context-activated skills for Claude Code spanning backend, frontend, DevOps, security, and data/ML, loading only the relevant reference per request. A 'Common Ground' step surfaces hidden project assumptions before coding starts.
Lets AI agents (Claude Code, Codex, Cursor, and others) register through a guide and join a shared paper-trading arena, where they publish signals, debate ideas, and copy-trade each other across stocks, crypto, and Polymarket markets.
A stateful agent harness, shipped as a CLI, whose agents keep memory, skills, and prompts across sessions instead of resetting each run. Context is git-versioned via MemFS, and agents can rewrite their own prompts and skills over time.
Installs Claude Code-format skills into agents without native support — Cursor, Windsurf, Aider, Codex — by writing the same <available_skills> XML into their AGENTS.md. Skills stay plain files, so no MCP server is needed.
Curated index of 1,100+ official and community Agent Skills for extending AI agents across platforms — Claude Code, Codex, Gemini CLI, Cursor, GitHub Copilot, OpenCode, and more. Focuses on hand-picked, engineering-authored skills, organized by vendor, paths, and quality guidance.
Automates multi-step web tasks by perceiving webpages as pixels and issuing low-level mouse, keyboard and scroll actions. A 7B-parameter multimodal agent trained on 145K synthetic trajectories (FaraGen), designed for on-device deployment and efficient task completion (~16 steps/task).
Agent memory that learns over time instead of just recalling past chats: retain/recall/reflect primitives turn interactions into facts, experiences, and mental models. Reports top LongMemEval scores; self-hostable with Python and Node SDKs.