skill: add Android skills

.agents/skills/appfunctions/references/feature-discovery-analysis.md

@@ -0,0 +1,36 @@
+Analyzes Android codebases to identify and recommend high-value AppFunctions.
+
+## Instructions
+
+### Workflow: Feature Discovery
+
+1. **Analyze Manifest \& Entry Points** : Scan `AndroidManifest.xml` and Activity, Fragment, Service classes to identify core user journeys (e.g., Search, Create, Share).
+2. **Identify Atomic Tasks**: Look for methods or logic that represent distinct, self-contained user outcomes.
+3. **Evaluate AI Value**: Prioritize tasks that are frequently used or difficult to navigate using touch UI, but instead be expressed using voice or text (e.g., "Remind me to call Alice when I get home").
+4. **Recommend \& Justify**: List recommendations with a "Rationale" focusing on how an AI assistant adds value (efficiency, hands-free use, or multi-step automation).
+
+## Critical Constraints
+
+### Tool-First Thinking
+
+Avoid recommending functions that are purely informational or redundant with
+existing system actions. Focus on "mutations" (writing data) or "rich queries"
+(finding specific entities).
+
+### Security \& Privacy
+
+Don't recommend exposing functions that handle raw credentials, financial
+secrets, or irreversible destructive actions without explicit user confirmation
+steps.
+
+## Examples
+
+### Example 1: Media App Discovery
+
+**Recommended AppFunction:** `playArtistRadio`
+
+**Rationale:** Allows users to start a personalized music stream using a
+voice command, bypassing several layers of navigation in the "Search" and
+"Artist" menus.
+
+**Input Required:** Artist Name (String).