A powerful Python-based automation tool to manage CircleCI pipelines, workflows, and project insights through a standardized interface.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install circleci
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install circleci using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The CircleCI skill is a comprehensive integration designed for developers and DevOps engineers who need to interact with their CI/CD pipelines programmatically. As a key component of the Openclaw Skills ecosystem, it provides a lightweight, dependency-free Python wrapper around the CircleCI REST API. This allows for seamless control over the entire software delivery lifecycle, from triggering builds to auditing resource usage.
By leveraging this tool within the Openclaw Skills framework, teams can automate repetitive manual tasks, such as updating project environment variables or rerunning failed workflows. The skill is optimized for speed and reliability, ensuring that pipeline data is always accessible for monitoring, debugging, and orchestration purposes.
To get started with this skill, ensure you have Python 3.10 or higher installed. You will also need a personal API token from your CircleCI account.
# Set your API token
export CIRCLECI_TOKEN="your_token_here"
# Test the connection by retrieving your user profile
python3 scripts/circleci.py me --human
The skill organizes data based on the CircleCI hierarchy, ensuring structured access to CI/CD metadata.
| Entity | Data Provided |
|---|---|
| Pipelines | Includes pipeline IDs, status, branch information, and project slugs. |
| Workflows | Details on workflow status, duration, and associated jobs. |
| Jobs | Access to specific job logs, execution time, and artifact links. |
| Contexts | Metadata regarding shared environment variables and security contexts. |
| Insights | Performance metrics including success rates and mean time to recovery (MTTR). |
Loading
A comprehensive interface for querying US Census Bureau datasets including ACS estimates, decennial counts, and economic indicators.

A comprehensive telecommunications toolkit for AI agents to handle SMS, voice calls, and phone number management through the Bandwidth API.

A zero-dependency Python integration for the Anthropic Messages API, enabling chat completions, vision analysis, and tool calling.

A zero-dependency Python tool for AI agents to track product analytics, user behavior, and conversion funnels via the Amplitude API.

A powerful lead enrichment and company intelligence tool for AI agents to identify and prospect potential customers using the Clearbit API.

A deterministic automation skill that transforms natural language into structured ClickUp operations, workspace hierarchies, and project diagnostics.








































