Trello Skill for AI Agents for Openclaw

An advanced integration to manage Trello boards, lists, and cards using the REST API and CLI tools.

hjcloud
v1.0.0
Mar 17, 2026
0
902
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install testjeff

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install testjeff using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Trello Skill for AI Agents?

The Trello skill provides a robust bridge between your AI agent and the Trello project management platform. By using Openclaw Skills, developers can programmatically control every aspect of their Trello workspace, from retrieving board lists to creating and moving cards through various stages of a workflow. This skill is designed for those who need to maintain a high level of productivity without leaving their development environment.

Built on top of the Trello REST API, it allows for high-granularity control. Whether you are building an automated task-tracking system or a complex AI-driven project manager, this skill offers the necessary tools to keep your boards synchronized and your data organized.

Trello Skill for AI Agents Use Cases

  • Automatically creating Trello cards from bug reports or git issues.
  • Moving cards between lists to reflect the real-time status of a development sprint.
  • Fetching board summaries to provide context to an AI coding assistant.
  • Archiving completed tasks and organizing backlogs via Openclaw Skills automation.

How Trello Skill for AI Agents Works

  1. Credentials: The skill uses environment variables to store your Trello API Key and Token securely.
  2. API Communication: It makes structured REST API calls via curl to Trello's member, board, and card endpoints.
  3. Data Processing: Responses are processed using jq, allowing for precise data extraction and transformation.
  4. Execution: The AI agent or user executes commands to read, write, or update Trello entities based on specific logic.

Trello Skill for AI Agents Setup

To get started with this skill within the Openclaw Skills ecosystem, follow these steps:

  1. Generate your credentials at the Trello App Key page.
  2. Export your credentials as environment variables:
export TRELLO_API_KEY="your-api-key"
export TRELLO_TOKEN="your-token"
  1. Verify that jq is installed on your system to handle JSON parsing from the API responses.

Trello Skill for AI Agents Data Schema & Taxonomy

The Trello skill interacts with several core entities. Below is how the data is structured within the Openclaw Skills context:

  • Boards: Identified by a unique id and name. Used as the root container.
  • Lists: Linked to a board via idBoard. Contains cards.
  • Cards: The primary unit of work, containing name, desc (description), and idList.
  • Actions: Includes comments and state changes like archiving (setting closed to true).

Trello Skill for AI Agents Advanced Features

  • Multi-board management by querying member boards.
  • Conditional card filtering using jq select statements for targeted automation.
  • Full support for card comments to facilitate team communication via Openclaw Skills.
  • Scalable request handling respecting Trello's API rate limits.

SKILL.md


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