New Claude code update is insane. You type one command /claude ap migrate and Claude code goes through your entire project, finds every place you call
the Claude API, and updates the whole thing for you. Models, parameters, beta headers, effort settings, done. This used to take a developer days,
whole sprint sometimes, reading docs, hunting for breaking changes, fixing one file, breaking another.
Now it happens in one guided pass. And here's the part most people missed. This skill isn't a plugin you install. It's bundled. Ships inside Claude
code by default. Every single user has it right now. You don't even need to know it exists for Claude to use it. That changes the game. So let [music]
me back up. Anthropic just made the Claude API skill official across the whole developer space.
Started inside Claude code back in March. Now it's in Code Rabbit, JetBrains, Juni, Resolve AI, Warp. The exact tools developers already live in every
day. Same skill, same playbook, same rules. Wherever you build, it's there. Hey, if we haven't met already, I'm the digital avatar of Julian Goldie,
CEO of SEO agency Goldie Agency. While he's helping clients get more leads and customers, I'm here
to help you get the latest AI updates. What does the skill actually do? Three big jobs. Teaches Claude how to write Claude API code the right way.
Things like prompt caching, tool use, batch processing, streaming, memory, citations, compaction. The stuff that's easy to get wrong if you're going
off old blog posts or stale docs. The skill keeps Claude current. When a new feature ships, Claude
already knows. Two, model migrations. This is the big one. You tell it migrate this project to Opus 4.7 and it goes line by line. It updates model
names. It moves your manual thinking settings to adaptive thinking. Strips out old beta headers that don't work anymore. Recommends the right effort
level. For Opus 4.7, that's x-high for most coding work. Even flags the prompts that might behave
differently because the new model reads instructions more literally. Three, it onboards you to Claude managed agents. This is a whole new way to build
agents where Anthropic runs the agent loop and hosts the container. You don't build the loop. You don't host the runtime. You define the agent once,
kick off a session, and Claude handles the rest. The skill walks you through the setup like an
interview, step-by-step, in your own language. Python, TypeScript, Java, Go, Ruby, PHP, Curl. Here's why this is a bigger deal than it sounds. Most
coding agents have one giant flaw. They go stale. The model gets trained on old docs, old SDK versions, old parameter names. So you ask your AI to
write some Claude API code and it gives you something that worked six months ago and doesn't work now.
You ship it. Production breaks. You spend a day debugging a single deprecated parameter. The skill fixes that. It's living. When the API changes, the
skill updates. Claude reads the latest version every time. No more guessing if the code your AI wrote is current. Code Rabbit said this directly. They
review millions of pull requests every week. They see how often stale API knowledge causes
production issues. The skill keeps Claude current as the SDKs change. Fewer surprises at review time. That's the quiet superpower here. It's not just
Claude got smarter, it's Claude stay smart. Quick break before we go deeper. If you want the full step-by-step on how to use the Claude code API skill
in your business, how to set it up, how to use it for client work, how to build agents that handle
leads, customer questions, content, and bookings, come check out the AI Profit Boardroom. We've got over 2,800 business owners inside, a lot of them
building with Claude code right now. Four coaching calls every week where you can ask live about your setup. Daily tutorials on the new Claude
features as they ship. Full 30-day roadmap for getting more customers with AI agents. And a member map so
you can connect with other Claude code users near you. Link in the description or go to aiprofitboardroom.com. Okay, back to it. Let's talk about what
makes this skill different from a normal slash command. A normal slash command runs fixed code. You type the command, the same thing happens every
time. It's a script, doesn't think. The Claude API skill is prompt-based. Gives Claude a detailed
playbook and lets Claude orchestrate the work using its tools. Big difference. The skill reads your project, checks your language, looks at your
imports. If you're on Python, it pulls the Python docs. If you're on TypeScript, it pulls the TypeScript docs. If your project is mixed, it asks you
which one you want. Then it plans the work. Then it edits the files. Then it explains every single change
in line so you actually understand what just happened. Checklist of stuff that needs manual review. Usually integration tests, prompts to control
output length and cost re-baselining. That's not a script. That's a junior developer who actually read the docs. Now the migration piece deserves a
closer look because Opus 4.7 actually changed a few things you'd never spot on your own. Adaptive thinking
is now the only way to turn on extended reasoning on Opus 4.7. The old way, setting a fixed token budget for thinking, straight up returns an error on
the new model. If you don't update your code, your app breaks. Most people would not catch that until production. Sampling parameters like
temperature, top_p, top_k are gone on Opus 4.7. They return errors, too. The skill removes them. Token counts
are different on the new model. The same exact text uses more tokens on 4.7 than on 4.6. So if you had max_fast_tokens set to a number that just
barely worked before, you might overflow now. The skill flags this. There's also a new effort level called x-high. It sits between high and max. For
most coding and agent work on Opus 4.7, x-high is the sweet spot. The skill recommends it automatically.
And there are silent defaults you cannot back into. Like thinking summarization. If you were showing reasoning to your users and you migrate without
thinking about it, the user experience changes. The skill catches that and asks you what you want. This is the level of detail that would normally
cost you a full day of doc reading and a couple of bug reports. Now let me hit the second big thing the
skill does, managed agents onboarding. Managed agents is Anthropic's first-party agent platform. You define an agent, model, system prompt, tools, MCP
service, skills once. You reference it by ID. Then every time you want to do something, you start a session. The session uses the agent. The agent
runs inside an Anthropic-hosted container with bash, file ops, code execution, web search. Built in.
You don't host any of it. Let me say that clearer. You're not building the agent loop. You're not running the server. You're not patching the runtime.
You write the config. You start the session. Anthropic does the rest. The skill has a special command for this, /claude API managed agents onboard.
Runs an interview. Walks you through the mental model. Agents are once, sessions at every run. Model
and system prompt and tools live on the agent, never on the session. Agents get created once and referenced by ID. Then the skill scaffolds the actual
code in your language. The right beta header, managed agents 2026-04-02. The working session loop. Streaming events handled. If tool confirmations
handled. Lossless reconnect. Interrupt handling. The whole thing. If you've ever tried to build an
agent from scratch, you know how brutal this is. Tool execution loops, error handling, session state, stream reconnects when the network blips. You
write that code yourself, you'll be debugging for weeks. The skill writes a working version in minutes. Let me also hit prompt caching because the
skill makes this almost automatic now. Prompt caching is how you keep your AI costs sane. The idea is
simple. If part of your prompt stays the same every request, system instructions, big documents, tool definitions, you mark it as cacheable. Anthropic
stores it. Next request, you don't pay full price for that part. You also don't wait as long for the response. But getting it right is tricky. You
have to put the cacheable stuff at the start. You have to put the breakpoint on the last block that
stays identical. You have to watch for silent things that break the cache without you noticing. Like changing the skills list in your container, which
the docs literally warn you about. The skill knows all of this. It reviews your code, suggests where to put breakpoints, and audits for silent
invalidators that would kill your cache hit rate. Higher hit rate means faster app and lower bill. Both
good. Quick word on how it knows. The skill uses something called progressive disclosure. Claude only loads the part of the documentation that matches
your task. If you're working on tool use, it loads the tool use docs. If you're on streaming, it loads streaming docs. If you're on managed agents, it
loads those. It doesn't dump the whole manual into the context window. Keeps things fast and
relevant. That's why this works as well as it does. It's not a fat prompt. It's a smart file system. Now here's the part that should make you sit up.
This isn't going to stay locked to Anthropic tools. The skill is open source. Lives on GitHub at anthropic/skills. Any coding agent can bundle it.
Anthropic published a guide that takes about 20 lines of CI to set up. The skill stays current
automatically. So we're going to see this same skill show up in every IDE, every coding tool, every place developers write Claude API code. The same
playbook everywhere. That means a developer using JetBrains in Pakistan and a developer using Warp in California are both getting the same up-to-date
guidance from the same source the same time. That's not normal. That's a coordinated rollout of
expertise across an entire developer ecosystem. The single skill file that updates as the API does. A year ago, you'd have 10 different blog posts
telling you 10 different things about prompt caching, half of them wrong. Now you've got one source of truth that lives inside the tools you actually
use. If you want to be in the second group, here's the move. Inside the AI Profit Boardroom, we just
rolled out a full walk-through on the Claude code API skill. How to install it. How to use it for client work. How to migrate your existing AI
projects to Opus 4.7 in one command. How to onboard to managed agents step-by-step so you can build agents that actually run themselves. Four live
coaching calls every week. Daily tutorials walking you through every new Claude feature as it lands. A full
30-day roadmap for using Claude code in your business to get more customers and free up your time. Prompt library built around Claude workflows. And a
member map so you can connect with other Claude code users near you. 24/7, there's always someone online to help. Link in the comment and description
or go to aiprofitboardroom.com. And if you want a free version first, come join the AI Success Lab.
67,000 members. All the video notes from these episodes. For 100 AI use cases you can copy and run today. Same link in the description and comments.