workflow-creator

name	workflow-creator
description	Standardized workflow creation and evaluation with mandatory schema validation
type	skill
version	1.0.0
category	factory
agents	["analyzer","comparator","grader"]
knowledge	["workflow.schema.json"]
tools	["none"]
related_skills	["skill-creator","agent-creator"]
templates	["none"]
references	["none"]
settings	{"auto_approve":false,"retry_limit":3,"timeout_seconds":300,"safe_to_parallelize":false,"orchestration_pattern":"routing"}

Workflow Creator

The Workflow Creator skill is designed for the generation and validation of standardized workflow files. Workflows in the Factory are multi-step processes described in markdown files within {directories.workflows}/.

Standard Structure

Workflows follow this markdown format:

1. YAML Frontmatter: Includes description and optional category.
2. Instructional Content: A numbered list of steps.
3. Turbo Annotations: Use // turbo or // turbo-all for automated command execution.

Validation

All workflows MUST pass schemas/workflow.schema.json validation. This ensures they are properly formatted and can be parsed by the orchestrator.

Process

1. TDD Phase (RED):
   • Write a failing verification test in tests/workflows/ (e.g., test_my_new_workflow_validity).
   • Verify RED: Run the test and confirm failure via conda run -p D:\Anaconda\envs\cursor-factory pytest <test_path>.
2. Implementation Phase (GREEN):
   • Draft the .md file in the appropriate domain subdirectory.
   • Write the minimal content needed to pass the test.
3. Validation Phase:
   • Run scripts/quick_validate.py to ensure schema compliance.
   • Verify GREEN: Run the verification test again to confirm it passes.
4. REFACTOR & Sync:
   • Clean up the workflow instructions.
   • Mandatory Sync: Run conda run -p D:\Anaconda\envs\cursor-factory python scripts/sync_global_workflows.py.

When to Use

• When creating a new workflow from scratch
• When improving or refactoring an existing workflow
• When standardizing an workflow to adhere to Factory schemas
• When another skill or agent requests a compliant workflow

Prerequisites

• Access to the Factory schemas in schemas/
• Understanding of the artifact structure defined in this skill
• The quick_validate.py script must be available for schema validation

Best Practices

• Always validate against the schema before finalizing
• Keep the artifact focused and non-redundant with existing ones
• Follow the naming conventions defined in the Factory standards
• Document the artifact's purpose clearly in the description field
• Link related artifacts in the related_skills or related_knowledge fields