aftership
AfterShip — package tracking, delivery notifications, estimated delivery dates, and courier detection.
Why use this skill?
Automate package tracking and delivery notifications in your OpenClaw agent with the AfterShip skill. Manage couriers, check status, and send alerts.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/aiwithabidi/aftershipWhat This Skill Does
The AfterShip skill for OpenClaw integrates the powerful AfterShip tracking API directly into your AI agent workflow. This skill allows your agent to perform end-to-end shipment management, including courier detection, tracking creation, status updates, and notification management. By leveraging the AfterShip API, the agent can monitor packages across hundreds of global couriers without manual intervention. It provides a structured interface to list existing trackings, pull detailed tracking information, and re-trigger tracking for expired entries, ensuring that logistics information is always synchronized with your agent's task context.
Installation
To integrate this skill into your agent, use the OpenClaw command-line interface. First, ensure you have an active AfterShip API key. Execute the following command in your terminal:
clawhub install openclaw/skills/skills/aiwithabidi/aftership
Once installed, you must configure the environment variable AFTERSHIP_API_KEY with your specific API credentials. This variable is strictly required for the Python script to authenticate requests against AfterShip servers. Verify installation by running a courier list command through the script to ensure connectivity.
Use Cases
This skill is ideal for businesses and power users managing logistics through automated agents. Primary use cases include: 1) E-commerce customer support, where an agent automatically retrieves shipment status for customer inquiries. 2) Operational dashboards, where an agent monitors critical shipments and alerts users if a delivery is delayed. 3) Automated notifications, where the agent adds tracking for new orders and sets up email or SMS alerts based on shipment milestones. 4) Courier identification, where a user provides only a tracking number and the agent determines the correct carrier automatically.
Example Prompts
- "Check the status of my order with tracking number 1Z9999999999 and tell me the last checkpoint information."
- "Add a new tracking for my package arriving via FedEx with tracking number 987654321 and send updates to [email protected]."
- "List all current shipments that have been inactive for more than 48 hours and retrack them."
Tips & Limitations
To maximize performance, always provide the courier slug when creating trackings to increase accuracy, although the detect-courier command is available if the slug is unknown. Note that API rate limits apply based on your specific AfterShip subscription plan; ensure your agent's frequency of polling does not exceed these limits. Always validate that the provided phone numbers or emails are in the correct format before passing them to the create-tracking function to avoid API errors.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-aiwithabidi-aftership": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: network-access, external-api
Related Skills
agent-memory
Full AI agent memory stack — Mem0 unified memory engine with vector search (Qdrant) and knowledge graph (Neo4j), plus SQLite for structured data. Complete setup script and tools. Give your OpenClaw agent a real brain with semantic recall, entity relationships, and structured storage.
skill-auditor
Security audit and quarantine system for third-party OpenClaw skills. Use when evaluating, reviewing, or installing any skill from ClawHub or external sources. Automatically triggered before any skill installation.
Model Intel
Live LLM model intelligence and pricing from OpenRouter
deep-search
Multi-tier Perplexity search with Langfuse tracing. Three depth levels: quick (sonar), pro (sonar-pro), deep (sonar-reasoning-pro). Supports focus modes: internet, academic, news, youtube, reddit. Returns AI-synthesized answers with citations. Use for research, comparisons, market analysis, fact-checking. Triggers: search, research, look up, find out, compare, what is, deep search, web research.
amplitude
Amplitude product analytics — track events, analyze user behavior, run cohort analysis, manage user properties, and query funnel/retention data via the Amplitude API. Understand product usage, measure feature adoption, and analyze user journeys. Built for AI agents — Python stdlib only, zero dependencies. Use for product analytics, user behavior tracking, funnel analysis, retention analysis, and cohort segmentation.