Do

Do: Automated Task Execution and Workflow Orchestration for Claude Code Projects

What Is This

The "Do" skill is a robust task execution and workflow orchestration component designed for the Happycapy Skills platform, specifically tailored for Claude Code projects. By integrating "Do" into your Claude-powered workflows, you can automate complex sequences of actions, trigger external processes, and manage multi-step tasks with precision and repeatability. This skill transforms simple task definitions into fully automated routines, making it a crucial building block for advanced Claude agent systems.

"Do" acts as an automation engine that interprets and executes task specifications described in YAML, supporting both synchronous and asynchronous job flows. It can invoke other skills, coordinate API calls, handle input and output variables, and sequence dependent tasks through a flexible, declarative configuration.

Why Use It

Manual task management and multi-step workflows are prone to errors, inconsistencies, and can be time-consuming to maintain. The "Do" skill addresses these challenges by providing a standardized way to describe, execute, and monitor automated workflows within Claude Code projects. Its key benefits include:

• Consistency: Define workflows as code, ensuring repeatable execution every time.
• Efficiency: Automate repetitive or multi-stage tasks, freeing up developer and agent time.
• Extensibility: Easily integrate new tasks, APIs, or skills by updating the YAML configuration.
• Observability: Track execution status, manage outputs, and handle errors systematically within your Claude agent environment.
• Composability: Chain multiple skills and job steps, allowing for complex logic and dependencies.

Whether you are orchestrating data pipelines, automating reporting processes, or integrating third-party services, "Do" provides the foundation for scalable, maintainable automation.

How to Use It

1. Installation and

Setup

First, ensure your Claude Code project includes the "Do" skill. If not, add it from the Happycapy Skills platform or clone it from its GitHub repository.

2. Defining a

Task

Workflows are defined in YAML format. Each task specifies a sequence of jobs, where each job can invoke a skill, make an API call, or run a script. Here is an example workflow that demonstrates invoking another skill and processing its result:

## ./workflows/sample_workflow.yaml
jobs:
  - id: fetch_data
    skill: http.get
    args:
      url: "https://api.example.com/data"
    output: fetched_data

  - id: process_data
    skill: data.transform
    args:
      input: "${fetched_data}"
    output: processed_data

  - id: notify
    skill: slack.send_message
    args:
      channel: "#alerts"
      text: "Data processed: ${processed_data}"

3. Executing the

Workflow

To run this workflow, use the "Do" skill’s execution entry point within your agent or script:

from skills import do

result = do.run_workflow('./workflows/sample_workflow.yaml')
print(result['notify'])  # Output from the final job

4. Passing and Handling

Inputs

Workflows can accept input variables, which can be referenced throughout the YAML using templating:

jobs:
  - id: personalized_message
    skill: slack.send_message
    args:
      channel: "${channel}"
      text: "Hello, ${user}!"

You can pass variables at runtime:

result = do.run_workflow(
    './workflows/personalized.yaml', 
    inputs={'channel': '#general', 'user': 'Alice'}
)

5. Error

Handling

The "Do" skill supports error trapping and custom error flows. You can specify error handling steps in your YAML configuration:

jobs:
  - id: risky_step
    skill: api.unknown
    args: {}
    on_error:
      - skill: slack.send_message
        args:
          channel: "#devops"
          text: "Step failed!"

When to Use It

Deploy the "Do" skill whenever you need to automate multi-stage processes in Claude Code environments. Typical scenarios include:

• Data ingestion pipelines: Fetch, transform, and store data from various sources.
• DevOps automation: Automate deployments, notifications, and health checks.
• Integrated agent workflows: Chain together multiple Claude skills to build sophisticated agent behaviors.
• Business process automation: Orchestrate document processing, ticketing, or reporting workflows.

If a task involves multiple steps, external integrations, or requires robust error handling, "Do" provides a declarative and maintainable approach.

Important Notes

• The "Do" skill relies on well-structured YAML configurations. Syntax errors or misreferenced variables may cause failures at runtime.
• Skills invoked by jobs must be installed and available in the current Claude agent environment.
• Outputs from jobs are accessible as variables to subsequent jobs using ${output_variable} syntax.
• Error handling routines should be carefully designed to avoid infinite loops or unhandled failure scenarios.
• "Do" is designed to be composable - it can trigger other "Do" workflows or nested jobs, but excessive nesting may complicate debugging and monitoring.
• Review the source repository for updates, advanced configuration options, and best practices.

By leveraging the "Do" skill, you can bring reliable, scalable automation to your Claude Code projects, enabling agents to execute sophisticated workflows with minimal manual intervention.