What problem does it solve?
This Skill streamlines the creation and management of Stencila workflows, enabling users to define, orchestrate, and validate multi-stage AI processes efficiently.
Core Features & Use Cases
- Workflow Scaffolding: Automatically generates new workflow directories and
WORKFLOW.md files with appropriate structure and frontmatter.
- Naming Convention Enforcement: Ensures workflow names adhere to strict kebab-case rules for consistency and discoverability.
- Agent Integration: Facilitates the selection and referencing of specialized agents using
list_agents for optimal task execution.
- DOT Pipeline Authoring: Assists in writing DOT language graphs for defining workflow logic, including branching, composition, and human review steps.
- Ephemeral Workflow Support: Manages temporary workflows marked by a
.gitignore sentinel for experiments or drafts.
- Use Case: A developer needs to create a new automated code review process. They can use this Skill to quickly scaffold a
code-review workflow, define its stages (design, build, test, human review), and integrate specific agents for each step, ensuring the workflow is validated before use.
Quick Start
Use the workflow-creation skill to create a new workflow named 'data-analysis-pipeline'.
