feat: add google-adk variant to ai-observability skill

context/skills/ai-observability/config.yaml

@@ -426,6 +426,15 @@ variants:
       - https://posthog.com/docs/ai-observability/installation/mastra.md
       - https://posthog.com/docs/libraries/node.md
 
+  - id: google-adk
+    framework: google-adk
+    display_name: Google ADK
+    description: PostHog AI Observability for the Google Agent Development Kit (agent framework, Node)
+    tags: [google-adk, javascript_node, ai_observability]
+    docs_urls:
+      - https://posthog.com/docs/ai-observability/installation/google-adk.md
+      - https://posthog.com/docs/libraries/node.md
+
   - id: instructor-python
     framework: instructor
     default: true

context/skills/ai-observability/description.md

@@ -6,7 +6,7 @@ Wire up PostHog's AI Observability so calls made through {display_name} land in
 
 This skill instruments the LLM calls the project *already makes*. It does **not** install the vendor SDK for you.
 
-Check the project's manifest for an LLM package. The catalog is far wider than the obvious providers — 68 variants covering agent frameworks (`openai-agents`, `claude-agent-sdk`, LangGraph, CrewAI, Mastra, …) and OpenAI-compatible gateways (Groq, OpenRouter, Together, Ollama, …), which an app reaches through the `openai` package plus a `baseURL` override. `1-begin.md` carries the ordered decision rules; follow them rather than matching on the first familiar package name. If no LLM SDK is present, switch to the `manual-capture` variant — it posts `$ai_generation` events directly and works standalone.
+Check the project's manifest for an LLM package. The catalog is far wider than the obvious providers — 69 variants covering agent frameworks (`openai-agents`, `claude-agent-sdk`, LangGraph, CrewAI, Mastra, …) and OpenAI-compatible gateways (Groq, OpenRouter, Together, Ollama, …), which an app reaches through the `openai` package plus a `baseURL` override. `1-begin.md` carries the ordered decision rules; follow them rather than matching on the first familiar package name. If no LLM SDK is present, switch to the `manual-capture` variant — it posts `$ai_generation` events directly and works standalone.
 
 Everything else this skill needs — PostHog credentials, instrumentation packages, env vars — the skill installs and configures itself. It does **not** require a pre-existing `posthog.init(...)`. If one is already there, reuse its env-var names in `3-instrument.md`; if not, that step sets fresh values via `set_env_values`.
 

context/skills/ai-observability/references/1-begin.md

@@ -8,7 +8,7 @@ Pick the variant, then read the code. Do not edit anything in this step.
 
 ## Pick the variant
 
-This skill ships 68 variants. Call `load_skill_menu` with `category: "ai-observability"`. That list is the source of truth.
+This skill ships 69 variants. Call `load_skill_menu` with `category: "ai-observability"`. That list is the source of truth.
 
 Apply these rules in order. The first match wins. Frameworks wrap providers, and gateways look like OpenAI, so the order matters.
 
@@ -32,6 +32,7 @@ Apply these rules in order. The first match wins. Frameworks wrap providers, and
 | `instructor` | `instructor-{python,node}` |
 | `litellm` | `litellm` |
 | `mastra`, `@mastra/core` | `mastra` |
+| `@google/adk` | `google-adk` |
 | `convex` | `convex` |
 
 Instrument the framework, not the provider below it. A provider instrumentor keeps the model calls and loses the agent, tool, and handoff structure.