feat: enhance CI workflow for skills module integration

- Added support for caching node modules in the skills directory to optimize build times.
- Included steps for installing and building skills dependencies within the CI workflow.
- Updated the MediaPipeLlmBridge.kt file to clarify supported parameters in the MediaPipe LLM Inference API, improving documentation and code clarity.

.github/workflows/package-and-publish.yml

@@ -176,6 +176,7 @@ jobs:
         uses: actions/checkout@v4
         with:
           fetch-depth: 1
+          submodules: true
           ref: ${{ github.event_name == 'pull_request' && github.event.pull_request.head.ref || github.ref }}
 
       - name: Set Xcode version
@@ -235,6 +236,22 @@ jobs:
         if: steps.yarn-cache.outputs.cache-hit != 'true'
         run: yarn install --frozen-lockfile
 
+      - name: Cache skills node modules
+        id: skills-yarn-cache
+        uses: actions/cache@v4
+        with:
+          path: skills/node_modules
+          key: ${{ runner.os }}-skills-${{ hashFiles('skills/yarn.lock') }}
+          restore-keys: |
+            ${{ runner.os }}-skills-
+
+      - name: Install skills dependencies
+        if: steps.skills-yarn-cache.outputs.cache-hit != 'true'
+        run: cd skills && yarn install --frozen-lockfile
+
+      - name: Build skills
+        run: cd skills && yarn build
+
       - name: Extract repository owner and name
         id: repository-info
         if: needs.get-version.outputs.should-publish != ''

src-tauri/gen/android/app/src/main/java/com/alphahuman/app/MediaPipeLlmBridge.kt

@@ -107,20 +107,17 @@ object MediaPipeLlmBridge {
             currentModelPath = null
 
             // Build options
-            // Note: Temperature is not available in MediaPipe LLM Inference API 0.10.x
-            // Only setModelPath, setMaxTokens, setMaxTopK, and setRandomSeed are supported
+            // Note: MediaPipe LLM Inference API 0.10.x only supports:
+            // setModelPath, setMaxTokens, setMaxTopK
+            // Temperature and randomSeed are not available in this API version
             val optionsBuilder = LlmInferenceOptions.builder()
                 .setModelPath(modelPath)
                 .setMaxTokens(maxTokens)
                 .setMaxTopK(topK)
 
-            if (randomSeed > 0) {
-                optionsBuilder.setRandomSeed(randomSeed)
-            }
-
-            // Temperature parameter is accepted but not used in current API version
+            // Temperature and randomSeed parameters are accepted but not used
             @Suppress("UNUSED_VARIABLE")
-            val unusedTemp = temperature
+            val unusedParams = listOf(temperature, randomSeed)
 
             val options = optionsBuilder.build()