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Found 6 Skills
Stands up an Apigee API proxy that a Google Cloud Agent Gateway calls as an ext-proc (Service Extension) callout on an agent's LLM traffic, to meter token usage per model, extract caller identity, and apply Model Armor prompt screening or a semantic cache. Use when wiring Apigee in as an AI gateway behind an Agent Gateway, when an agent's model egress needs governing, or when a callout proxy returns no verdict and you need to find out why. The distinguishing question is whether Apigee forwards the traffic or only inspects it: this skill is inspect-only, and builds the proxy itself. Don't use it when Apigee is meant to receive a request and route it onward to a backend — including hosting an MCP server behind Apigee — which needs a proxy with a target instead. Don't use for governing the agent's calls to tools or MCP servers. Don't use for choosing or switching which model a request goes to. Don't use for creating the Agent Gateway itself, nor for Apigee hybrid.
Configures API gateways such as Kong, AWS API Gateway, Azure APIM, or Apigee as a centralized security enforcement point, covering authentication enforcement, rate limiting and throttling, request validation, IP allowlisting, TLS termination, and threat protection. Use when securing API traffic at the gateway layer, setting up gateway-level authentication and quota management, or centralizing API protection before requests reach backend services.
Configures Google Cloud API Gateway to act as a remote Model Context Protocol (MCP) server (Public Preview) that exposes REST APIs as agent tools over HTTP (POST /mcp). Use when migrating OpenAPI 2.0 specs to OpenAPI 3.x for MCP, annotating specs with x-google-api-management.mcp and x-google-mcp-tool, securing tools/list with JWTs or API keys, connecting Google ADK (McpToolset) or Apigee API hub and Agent Registry, or troubleshooting MCP JSON-RPC errors (-32601, -32602, -32000). Do not use for Apigee X proxy bundles, outbound LLM model routing, or GKE Gateway API.
Secures and rate limits backend services behind Google Cloud API Gateway across OpenAPI 2.0 and OpenAPI 3.0.x API configurations, including MCP-enabled gateways. Use when configuring API key or JWT authentication, locking down Cloud Run or Cloud Run functions backends with a gateway service account, reading authenticated claims from X-Apigateway-Api-Userinfo, setting per-project request quotas, or diagnosing HTTP 429 and HTTP 500 Service Control Quota errors. Do not use for Apigee, GKE Gateway API, Cloud Load Balancing custom domain setup, or LLM model routing.
Protect a portfolio slice by applying one Universal (canonical) policy across API instances on any gateway (Kong, Apigee, Azure, AWS, MuleSoft). Use when the user says all / many / my APIs / a portfolio slice — JWT validation, rate limiting, spike arrest, IP filtering, or apply one config across providers. DO NOT TRIGGER for "what protection do I have" / listing or editing already- applied native policies — use skill apply-native-policy-to-instance. DO NOT TRIGGER for a single already-chosen instance that needs a provider-native plugin — same skill. Do not use to remove, detach, enable, or disable a policy (those tools do not exist).
Apply, list, or edit provider-native policies on API instances (Kong plugin, Apigee template, Azure policy, or MuleSoft/Anypoint) via the MuleSoft Platform MCP Server. TRIGGER when: the user asks what protection they have on a provider's APIs ("what protection do I have for my Apigee APIs"), wants to change an already-applied native policy ("improve the IP filtering to include 1.1.1.1"), or apply one native plugin to an already-chosen instance ("add ip-restriction on this Kong service"). DO NOT TRIGGER when: they want one Universal/canonical policy across many instances or providers — use skill apply-universal-policy. DO NOT TRIGGER to remove, detach, enable, or disable a policy, or when they are driving Anypoint REST (skill apply-policy-to-api-instance).