发现优质的 AI Agent 技能

Interact with WhatsApp through GOWA (Go WhatsApp Web Multi-Device) REST API for personal automation tasks.

The Jules CLI is for **asynchronous, complex tasks**. It must not be used for trivial edits. Direct CLI usage is required to maintain visibility and prevent "runaway" automation.

Execute Base-chain trading and on-chain queries using natural language through the AIxVC AI Automation.

Build business automation on Telegram — lead capture forms, appointment booking, FAQ bots, payments, and community management.

Make (formerly Integromat) automation platform — manage scenarios, trigger runs, monitor executions, manage connections, and handle data stores via the Make API.

Inventory Source — dropship automation, supplier management, product feeds, inventory sync, and order routing.

IFTTT (If This Then That) automation — trigger webhooks, manage applets, and fire events via the IFTTT Webhooks and API.

ConvertKit (Kit) creator marketing — manage subscribers, forms, sequences, broadcasts, tags, and automations via the ConvertKit API.

**Twitter/X data access and automation for autonomous agents. Powered by AIsa.**

Multi-source aggregation powered by open-source libraries and free public APIs to query flight dynamics, prices, schedules, and real-time positions. Supports Chinese/English city names and IATA codes.Lightweight Python implementation — no browser automation, no complexity, no overhead.

**FlyClaw** is a lightweight command-line tool that aggregates flight information (dynamics, prices, schedules, etc.) using a multi-source aggregation architecture powered by open-source libraries and free public APIs, with native Chinese/English query support and native OpenClaw skill integration, covering both Chinese domestic and international flights. Lightweight Python implementation — no browser automation, no complexity, no overhead.

Unified skill for the complete ML pipeline within a quant trading research system. Consolidates eight prior skills into a single authoritative reference covering the full lifecycle: data validation, feature creation, selection, transformation, anti-leakage checks, pipeline automation, deep learning optimization, and deployment.