nano-banana-pro-prompts-recommend-skill
AI skill for OpenClaw & Claude Code — recommend from 10000+ Nano Banana Pro (Gemini) image prompts. Smart search by use case, content remix, sample images.
Chatsonic integration. Manage Users, Chats, Images, Workspaces, Prompts. Use when the user wants to interact with Chatsonic data.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install gora050/chatsonicInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Chatsonic is an AI-powered chatbot similar to ChatGPT, but with real-time information access. It's used by marketers, writers, and researchers to generate content, answer questions, and automate tasks.
Official docs: https://writesonic.com/api
Use action names and parameters as needed.
This skill uses the Membrane CLI to interact with Chatsonic. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.
Install the Membrane CLI so you can run membrane from the terminal:
npm install -g @membranehq/cli
membrane login --tenant
A browser window opens for authentication.
Headless environments: Run the command, copy the printed URL for the user to open in a browser, then complete with membrane login complete <code>.
membrane search chatsonic --elementType=connector --json
Take the connector ID from output.items[0].element?.id, then:
membrane connect --connectorId=CONNECTOR_ID --json
The user completes authentication in the browser. The output contains the new connection id.When you are not sure if connection already exists:
membrane connection list --json
If a Chatsonic connection exists, note its connectionId
When you know what you want to do but not the exact action ID:
membrane action list --intent=QUERY --connectionId=CONNECTION_ID --json
This will return action objects with id and inputSchema in it, so you will know how to run it.
| Name | Key | Description...
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# Chatsonic
Chatsonic is an AI-powered chatbot similar to ChatGPT, but with real-time information access. It's used by marketers, writers, and researchers to generate content, answer questions, and automate tasks.
Official docs: https://writesonic.com/api
## Chatsonic Overview
- **Chatsonic**
- **Chat** — Represents a conversation.
- **Message** — A single turn in the conversation.
Use action names and parameters as needed.
## Working with Chatsonic
This skill uses the Membrane CLI to interact with Chatsonic. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.
### Install the CLI
Install the Membrane CLI so you can run `membrane` from the terminal:
```bash
npm install -g @membranehq/cli
```
### First-time setup
```bash
membrane login --tenant
```
A browser window opens for authentication.
**Headless environments:** Run the command, copy the printed URL for the user to open in a browser, then complete with `membrane login complete <code>`.
### Connecting to Chatsonic
1. **Create a new connection:**
```bash
membrane search chatsonic --elementType=connector --json
```
Take the connector ID from `output.items[0].element?.id`, then:
```bash
membrane connect --connectorId=CONNECTOR_ID --json
```
The user completes authentication in the browser. The output contains the new connection id.
### Getting list of existing connections
When you are not sure if connection already exists:
1. **Check existing connections:**
```bash
membrane connection list --json
```
If a Chatsonic connection exists, note its `connectionId`
### Searching for actions
When you know what you want to do but not the exact action ID:
```bash
membrane action list --intent=QUERY --connectionId=CONNECTION_ID --json
```
This will return action objects with id and inputSchema in it, so you will know how to run it.
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