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Implement Semantic Kernel Skills for Multimodal RAG

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Linked challenge: MCP Edge AI for Satellite Data Fusion

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Linked challenge
MCP Edge AI for Satellite Data Fusion

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Develop Semantic Kernel skills to ingest and process simulated satellite telemetry, parse imagery captions, and perform RAG over ground-based news articles using LlamaIndex. These skills should then feed relevant information into Gemini 2.5 Pro for analysis. Demonstrate the RAG query paths for each data type.

Adaptation plan

Keep the source stable, then change the prompt in a predictable order so the next run is easier to evaluate.

Keep stable

Hold the task contract and output shape stable so generated implementations remain comparable.

Tune next

Update libraries, interfaces, and environment assumptions to match the stack you actually run.

Verify after

Test failure handling, edge cases, and any code paths that depend on hidden context or secrets.