AI Agent Skills
AfterLink ships a fully structured skills.sh-compatible skill configuration package. This teaches AI coding assistants (Claude, Cursor, Copilot) how to scaffold AfterLink engines natively, omitting typical API hallucinations.
What is a Skill?
A skill is a machine-readable technical instruction playbook. By injecting AfterLink's schema, API signatures, and architectural requirements directly into the AI's system prompt context, coding tools can create, audit, and debug AfterLink protocol layers with zero-defect accuracy.
Installation
Installation Command
What the Skill Book Covers
The skill blueprint instructs AI agents across the complete range of AfterLink's modular capabilities:
| Skill Chapter | Protocol Domain & Coverage details |
|---|---|
| Decision Guide | When to deploy AfterLink vs standard WebSockets, HTTP/2 or gRPC configurations. |
| Server Scaffolds | How to boot server nodes, assign routes, and declare Zod payload validation models. |
| Client Handshakes | Establishing client pipes, auto-reconnecting loops, and request/reply RPC actions. |
| Pub/Sub Broadcasting | Channel subscriptions, raw publishes, and multi-peer broadcast loops. |
| Secure TLS & JWT | Creating credentials via generateDevCerts() and securing URIs. |
| Browser Bridge | Interfacing with standard web frontend elements using WebSocket fallback wrappers. |
| Diagnostics & CLI | API testing structures, CLI debuggers, and common issue resolutions. |
Using with Claude / Cursor / Copilot
Once the skill package is installed inside your local repository configurations, you can prompt your editor agent with high-level goals:
The agent will automatically locate the skill guidelines, fetch correct API signatures, and write validated node code.