Agenty integration. Manage data, records, and automate workflows. Use when the user wants to interact with Agenty data.
68
61%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/agenty/SKILL.mdAgenty is a web scraping and automation platform. It's used by businesses and developers to extract data from websites, automate tasks, and integrate with other applications.
Official docs: https://www.agenty.com/dev/
Use action names and parameters as needed.
This skill uses the Membrane CLI to interact with Agenty. 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@latestmembrane login --tenant --clientName=<agentType>This will either open a browser for authentication or print an authorization URL to the console, depending on whether interactive mode is available.
Headless environments: The command will print an authorization URL. Ask the user to open it in a browser. When they see a code after completing login, finish with:
membrane login complete <code>Add --json to any command for machine-readable JSON output.
Agent Types : claude, openclaw, codex, warp, windsurf, etc. Those will be used to adjust tooling to be used best with your harness
Use connection connect to create a new connection:
membrane connect --connectorKey agentyThe user completes authentication in the browser. The output contains the new connection id.
membrane connection list --jsonSearch using a natural language description of what you want to do:
membrane action list --connectionId=CONNECTION_ID --intent "QUERY" --limit 10 --jsonYou should always search for actions in the context of a specific connection.
Each result includes id, name, description, inputSchema (what parameters the action accepts), and outputSchema (what it returns).
| Name | Key | Description |
|---|---|---|
| Get Dashboard | get-dashboard | |
| Update Agent Schedule | update-agent-schedule | |
| Delete Agent Schedule | delete-agent-schedule | |
| Get Agent Schedule | get-agent-schedule | |
| Get Job Logs | get-job-logs | |
| Add List Row | add-list-row | |
| List Lists | list-lists | |
| Get List | get-list | |
| Create List | create-list | |
| Get List Rows | get-list-rows | |
| Stop Job | stop-job | |
| Get Job Result | get-job-result | |
| Get Job | get-job | |
| List Jobs | list-jobs | |
| Start Job | start-job | |
| Create Agent | create-agent | |
| Update Agent | update-agent | |
| Delete Agent | delete-agent | |
| Get Agent | get-agent | |
| List Agents | list-agents |
If no suitable action exists, describe what you want — Membrane will build it automatically:
membrane action create "DESCRIPTION" --connectionId=CONNECTION_ID --jsonThe action starts in BUILDING state. Poll until it's ready:
membrane action get <id> --wait --jsonThe --wait flag long-polls (up to --timeout seconds, default 30) until the state changes. Keep polling until state is no longer BUILDING.
READY — action is fully built. Proceed to running it.CONFIGURATION_ERROR or SETUP_FAILED — something went wrong. Check the error field for details.membrane action run <actionId> --connectionId=CONNECTION_ID --jsonTo pass JSON parameters:
membrane action run <actionId> --connectionId=CONNECTION_ID --input '{"key": "value"}' --jsonThe result is in the output field of the response.
membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.56d7336
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.