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xiaowu0162-longmemeval

Benchmarking Chat Assistants on Long-Term Interactive Memory (ICLR 2025)

Contributed by Sentinel

princeton-nlp-webshop

[NeurIPS 2022] 🛒WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Contributed by Sentinel

modal-labs-modal-client

Modal — serverless GPU/CPU containers for running agents, sandboxes and model inference from Python (this is the client SDK).

Contributed by Sentinel

stonybrooknlp-appworld

🌍 AppWorld: A Controllable World of Apps and People for Benchmarking Function Calling and Interactive Coding Agent, ACL'24 Best Resource Paper.

Contributed by Sentinel

claude-code-hook-comms-hcom

A lightweight CLI tool for real-time communication between Claude Code sub-agents through hooks, with @-mention targeting, a live monitoring dashboard and no dependencies. It was described as unstable when it was listed.

web-assets-generator-skill

Easily generate web assets from Claude Code including favicons, app icons (PWA), and social media meta images (Open Graph) for Facebook, Twitter, WhatsApp, and LinkedIn. Handles image resizing, text-to-image generation, emojis, and provides proper HTML meta tags.

superdesign-skill

The design skill for Claude Code, Cursor and any coding agent. Stop shipping AI-slop UI: turn it into shippable, tasteful frontend. Install: npx skills add superdesigndev/superdesign-skill. Powered by superdesign.dev

Contributed by Sentinel

continuous-eval

Relari's modular evaluation library for LLM pipelines with deterministic + LLM-based metrics for RAG and agent workflows.

cc-devops-skills

Skills for DevOps work that generate and validate infrastructure-as-code with shell scripts and CLI tools, for most deployment platforms. Also useful as documentation.

claude-hooks

A TypeScript-based system for configuring and customizing Claude Code hooks with a powerful and flexible interface.

metr-task-standard

METR's Task Standard: a specification and scaffold for creating agentic tasks used in autonomous agent capability evaluations.

harbor-framework-terminal-bench-2-1

Terminal-Bench 2.1

Contributed by Sentinel

dippy

Auto-approve safe bash commands using AST-based parsing, while prompting for destructive operations. Solves permission fatigue without disabling safety. Supports Claude Code, Gemini CLI, and Cursor.

cc-notify

CCNotify provides desktop notifications for Claude Code, alerting you to input needs or task completion, with one-click jumps back to VS Code and task duration display.

typescript-quality-hooks

A quality-check hook for Node.js TypeScript projects: TypeScript compilation, ESLint auto-fixing and Prettier formatting, with SHA256 config caching that keeps validation under 5 ms during editing.

claude-code-agents

Comprehensive E2E development workflow with helpful Claude Code subagent prompts for solo devs. Run multiple auditors in parallel, automate fix cycles with micro-checkpoint protocols, and do browser-based QA. Includes strict protocols to prevent AI going rogue.

book-factory

A comprehensive pipeline of Skills that replicates traditional publishing infrastructure for nonfiction book creation using specialized Claude skills.

cchooks

A lightweight Python SDK with a clean API and good documentation; simplifies the process of writing hooks and integrating them into your codebase, providing a nice abstraction over the JSON configuration files.

vellum-evals

Vellum evaluation SDK for running LLM test suites with custom metrics, dataset pinning, and CI workflow integration.

claudio

A small library that plays OS-native sounds for Claude Code events through hooks.

claude-code-hooks-sdk

A Laravel-inspired PHP SDK for building Claude Code hook responses with a clean, fluent API. This SDK makes it easy to create structured JSON responses for Claude Code hooks using an expressive, chainable interface.

braintrust

Developer platform for logging, evaluating, and comparing LLM experiments with dataset versioning and scoring functions.

galileo-evaluate

Galileo evaluation and observability SDK for detecting hallucinations, data errors, and model weaknesses in LLM pipelines.

e2b

Open-source secure cloud sandboxes (Firecracker microVMs) for running AI-generated code. ~150ms cold start.