AI Client2025
Drives AI coding agents through a five-phase loop — discuss, plan, execute, verify, ship — offloading heavy work to fresh-context subagents to fight context rot. The main session stays lean while parallel waves do the building.
AI Agent2025
Packages reusable agent capabilities as lightweight 'skills' (folders with a SKILL.md) that capture procedural knowledge and workflows; uses progressive disclosure so agents load minimal metadata at discovery and fetch full instructions and resources only when needed.
AI Client2025
CLI (chub) that lets coding agents search, fetch, and annotate curated, versioned API docs and agent skills — agents read inspectable, language-specific docs instead of noisy web search. Features: incremental fetch, local annotations, feedback-to-maintainers.
Fifteen reusable agent skills for curating LLM context windows, treating attention decay—not token capacity—as the real constraint. A routing layer benchmarked at 0.92 top-1 accuracy selects the right skill for each task.
AI Agent2025
Runs LLM-driven coding agents as durable workflows on Vercel, orchestrating isolated sandbox VMs for repo work, shell and file tools, and optional auto-commit/PR flows — designed for cloud-hosted, resumable developer automation.
AI Agent2025
Provides an agent-native personalized tutoring platform that combines persistent TutorBots, RAG-powered knowledge bases, and a CLI-first workflow. Designed for extensible agent skills, multi-channel deployment, and long-term learner memory.
A step-by-step, beginner-first programming course that teaches 'vibe coding'—conversational workflows to turn ideas into AI-enabled web and full‑stack prototypes. Features interactive simulated coding, multi-language docs, stage-based projects (from simple demos to SaaS capstones) and advanced agent/Claude Code guidance.
AI Agent2025
Collection of self-contained Codex skills that automate recurring engineering tasks (many Apple-platform focused): release-note generation, iOS debugging, SwiftUI audits, multi-agent review and bug-hunt workflows. Best when integrated into Codex-driven developer tooling.
AI Coding2025
Terminal-native AI coding agent that performs hash-anchored file edits, LSP-powered code intelligence, an IPython kernel, and orchestrated subagents—designed for in-terminal development workflows with reproducible, fine-grained code changes.
AI Dataset2025
Large-scale, real-world dual-arm video corpus for embodied robotics and reinforcement-learning research — over 1TB of multimodal recordings on Hugging Face, intended for training and evaluating agents in real manipulation scenarios; CC BY‑SA 4.0.
AI Agent2026
Provides a set of Agent Skills that let LLM agents read, edit, and manipulate Obsidian files (Markdown, Bases, JSON Canvas) and interact with Obsidian via the CLI. Implements the Agent Skills spec for use with Claude Code, Codex CLI, and OpenCode, enabling automated note workflows and RAG over an Obsidian vault.
AI Agent2026
Registry where OpenClaw agents publish, version, and vector-search text-based skills — each a SKILL.md plus supporting files. Adds a CLI with install pinning and moderation, plus a unified catalog that lists native code and bundle plugins beside skills.