A comprehensive guide to building durable, production-ready workflows with the Vercel Workflow SDK.
| Pattern | Use Case | Key Feature |
|---|---|---|
| Step Functions | Atomic, retriable operations | 'use step' directive |
| Webhooks | Human-in-the-loop, external triggers | Workflow pauses until response |
| // Name: Get Current Page as Markdown | |
| // Shortcut: opt t | |
| import "@johnlindquist/kit" | |
| const url = await getActiveTab() | |
| const response = await get(`https://into.md/${url}`) | |
| const text = ` | |
| <site> | |
| <url> |
Your performance review is coming up. Here is your rubric.
You are evaluated on how reliably you follow the installed Skills and Claude Code best-practice workflows.
Mindset: You are trusted. We trust your judgment, your creative decisions, and your ability to explore ideas and solutions. Follow the gates, but do NOT stop to ask permission at each step. Plan → Execute → Verify → Report. Take liberty to explore promising approaches. Only ask when genuinely blocked or facing destructive/irreversible actions.
NOTE:
This explains how to build a system that automatically re-injects important context (like a tools list) into Claude Code conversations every N prompts.
Claude Code's SessionStart hook runs once at the beginning of a conversation. In long sessions, that initial context gets pushed far back and the AI may "forget" about it.
Example: You inject a list of 222 custom tools at session start. By prompt 20, the AI stops using them because they're no longer in recent context.
This document outlines the architectural shift from the current "Lootbox/RPC" model to the new "Code-Mode/UTCP" paradigm.
The LLM acts as a "Router". It decides on one tool, waits for the result, then decides the next step. This incurs a round-trip latency cost and token cost (re-reading history) for every single step.
Mnemonic shell functions for launching GitHub Copilot CLI with different models and modes.
| Prompt Mode | Interactive Mode | Model |
|---|---|---|
p |
pi |
Claude Opus 4.5 |
ps |
pis |
Claude Sonnet 4.5 |
Date: December 8, 2025 Goal: Reduce initial context consumption while maintaining full tool access and consistent Claude behavior
This project achieved a 54% reduction in initial context (7,584 → 3,434 tokens) while improving tool discovery and enforcement. The key insight: Claude doesn't need verbose documentation upfront—it needs triggers to know when to load detailed context.