output-build-workflow

Your task is to implement an Output.ai workflow based on a provided plan document.

The workflow directory is provided as an argument (the workflow directory path). The workflow skeleton should already have been created there; if it has not, create it first.

Please read the plan file and implement the workflow according to its specifications.

Use the todo tool to track your progress through the implementation process.

Implementation Rules

Overview

Implement the workflow described in the plan document, following Output SDK patterns and best practices.

<pre_flight_check> EXECUTE: Claude Skill: output-meta-pre-flight </pre_flight_check>

<process_flow>

Step 1: Plan Analysis

Read and understand the plan document.

1. Read the plan file from the provided plan file path
2. Identify the workflow name, description, and purpose
3. Extract input and output schema definitions
4. List all required steps and their relationships
5. Note any LLM-based steps that require prompt templates
6. Understand error handling and retry requirements

Step 2: Workflow Implementation

Update workflow.ts in the workflow directory with the workflow definition.

<implementation_checklist>

• Import required dependencies (workflow, z from '@outputai/core')
• Define inputSchema based on plan specifications
• Define outputSchema based on plan specifications
• Import step functions from steps.ts
• Implement workflow function with proper orchestration
• Handle conditional logic if specified in plan
• Add proper error handling
• When catching a specific step or evaluator error, use hasErrorType(error, ErrorClass) instead of instanceof (see output-error-try-catch) </implementation_checklist>

<workflow_template>

import { workflow, z } from '@outputai/core';
import { stepName } from './steps.js';

const inputSchema = z.object( {
  // Define based on plan
} );

const outputSchema = z.object( {
  // Define based on plan
} );

export default workflow( {
  name: 'workflow-name-from-plan',
  description: 'Description from plan',
  inputSchema,
  outputSchema,
  fn: async input => {
    // Implement orchestration logic from plan
    const result = await stepName( input );
    return { result };
  }
} );

</workflow_template>