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Google Gemini integration. Manage Users, Conversations. Use when the user wants to interact with Google Gemini data.
npx skill4agent add membranedev/application-skills google-geminimembranenpm install -g @membranehq/climembrane login --tenantmembrane login complete <code>membrane search google-gemini --elementType=connector --jsonoutput.items[0].element?.idmembrane connect --connectorId=CONNECTOR_ID --jsonmembrane connection list --jsonconnectionIdmembrane action list --intent=QUERY --connectionId=CONNECTION_ID --json| Name | Key | Description |
|---|---|---|
| Count Tokens | count-tokens | Counts the number of tokens in the provided text content. |
| Batch Embed Contents | batch-embed-contents | Generates multiple embedding vectors from a batch of text inputs in a single request. |
| Embed Content | embed-content | Generates a text embedding vector from input text using a Gemini embedding model. |
| Get Model | get-model | Gets detailed information about a specific Gemini model, including its version number, token limits, supported parame... |
| List Models | list-models | Lists all available Gemini models, including their capabilities, token limits, and supported generation methods. |
| Generate Content | generate-content | Generates a model response given an input prompt. |
membrane action run --connectionId=CONNECTION_ID ACTION_ID --jsonmembrane action run --connectionId=CONNECTION_ID ACTION_ID --json --input "{ \"key\": \"value\" }"membrane request CONNECTION_ID /path/to/endpoint| Flag | Description |
|---|---|
| HTTP method (GET, POST, PUT, PATCH, DELETE). Defaults to GET |
| Add a request header (repeatable), e.g. |
| Request body (string) |
| Shorthand to send a JSON body and set |
| Send the body as-is without any processing |
| Query-string parameter (repeatable), e.g. |
| Path parameter (repeatable), e.g. |
membrane action list --intent=QUERY