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---
name: anthropic-platform-features
description: |
Anthropic platform features above the raw API. Use for Agent Skills,
hosted MCP connector + Tunnels, computer use/code execution/bash,
extended thinking, batches, prompt caching strategy, citations,
Bedrock/Vertex, embeddings, fast mode, context editing, workload
identity (WIF), billing, SSO, CMEK, Managed Agents, self-hosted
sandboxes. Skip: raw /v1/messages (use anthropic-api), Claude Code (use
claude-code), Agent SDK (use claude-agent-sdk), Connectors directory
(use claude-connectors).
user-invocable: true
---
# Anthropic Platform Features — Router
| Field | Value |
|---|---|
| **Source docs** | [platform.claude.com/docs](https://platform.claude.com/docs) |
> **This skill is auto-updated daily.** A pipeline reads the upstream
> docs and rewrites the per-surface files below. Section structure is
> stable; content drifts to track upstream.
## When to use
Router skill for Anthropic platform-side features that sit above the
raw Messages API: Agent Skills format (the spec for `.skill` packages
used by platform-managed agents), MCP connectors hosted by Anthropic,
tool use (computer use, code execution, bash tool, define-your-own
tools), build-with-claude features (extended thinking, message
batches, citations, Amazon Bedrock, Google Vertex, embeddings, fast
mode, context editing), manage-claude operations (workload identity
federation, billing, identity), and the Managed Agents product.
Use when the user asks about: writing an Agent Skill `.skill` package,
Anthropic's hosted MCP connector, MCP Tunnels (connecting private-network
MCP servers without opening inbound ports), the computer-use tool, the
code_execution tool, bash tool, extended thinking, message batches,
prompt caching strategy at the platform level, citations, deploying
via Bedrock or Vertex, embeddings models, fast-mode behavior,
context editing strategies, WIF setup, billing / cost reports,
identity & SSO setup, customer-managed encryption keys (CMEK via
AWS KMS / Google Cloud KMS / Azure Key Vault), the Managed Agents
product, or self-hosted sandboxes (running agent sessions in your
own infrastructure).
Skip: raw POST /v1/messages requests (use anthropic-api), Claude
Code CLI (use claude-code), Claude Agent SDK (use claude-agent-sdk),
user-facing Claude Connectors directory (use claude-connectors).
## Dispatch table
| Surface file | Read when the user asks about… |
|---|---|
| [`SKILL-agents-and-tools.md`](SKILL-agents-and-tools.md) | Agent Skills format spec, MCP connector, MCP Tunnels (private-network MCP servers), remote MCP servers, tool use (computer use, code execution, bash, define-your-own tools), tool_choice |
| [`SKILL-build-with-claude.md`](SKILL-build-with-claude.md) | extended thinking, message batches, prompt caching, citations, Amazon Bedrock, Google Vertex, embeddings, fast mode, context editing, vision; also platform foundation (`intro`, `get-started`) and guardrails / streaming-refusals from `test-and-evaluate/` |
| [`SKILL-manage-claude.md`](SKILL-manage-claude.md) | workload identity federation (WIF), billing & usage, organizations & workspaces operations, identity & SSO, customer-managed encryption keys (CMEK) |
| [`SKILL-managed-agents.md`](SKILL-managed-agents.md) | Managed Agents product — agent definitions, deployment, lifecycle, monitoring, self-hosted sandboxes |
## Examples
<example>
Context: A developer wants Claude to run code on the server side.
user: "How do I enable the code execution tool, and what does the sandbox allow?"
assistant: Uses anthropic-platform-features and reads the agents-and-tools surface for the code execution tool.
</example>
<example>
Context: A developer asks about raw request fields.
user: "What is the max_tokens limit on /v1/messages for Opus?"
assistant: Routes to anthropic-api instead; raw request fields and model limits live there.
</example>
---
*This skill is auto-updated daily by a maintainer-run pipeline. File
issues at [xiaolai/anthropic-docs](https://github.com/xiaolai/anthropic-docs).*