gemini-embeddings

SKILL.md

Generate high-quality text embeddings for semantic search, similarity analysis, clustering, and RAG (Retrieval Augmented Generation) applications through executable scripts.

scripts/embed.py Purpose: Generate embeddings and calculate similarity

| texts | Text(s) to embed (required) | "Your text here" | | --model, -m | Embedding model | gemini-embedding-001 | | --task, -t | Task type | SEMANTICSIMILARITY | | --dim, -d | Output dimensionality | 768, 1536, 3072 | | --similarity, -s | Calculate pairwise similarity | Flag | | --json, -j | Output as JSON | Flag |

Generate text embeddings using Gemini Embedding API via scripts/. Use for creating vector representations of text, semantic search, similarity matching, clustering, and RAG applications. Triggers on "embeddings", "semantic search", "vector search", "text similarity", "RAG", "retrieval". Source: akrindev/google-studio-skills.

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