
Process Builder
Scaffolds new process definitions for the babysitter event-sourced orchestration framework following their three-phase workflow: research and documentation first, then identify processes in a backlog, finally implement the actual process files. It sets up the proper directory structure (methodologies vs specializations, with domains nested under the latter), generates the boilerplate with correct SDK patterns, and ensures you're using their context API right (ctx.task, ctx.breakpoint, ctx.parallel). The templates show real patterns like iteration loops with periodic checkpoints and parallel execution blocks. Useful when you're extending babysitter with new domain processes and want to avoid hand-writing all the ceremony around task definitions, phase documentation, and artifact tracking.
- skills.sh installs
- 213
- GitHub stars
- 1.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add a5c-ai/babysitter --skill process-builder --agent claude-codeInstalls into .claude/skills of the current project.
Files
Process Builder
Create new process definitions for the babysitter event-sourced orchestration framework.
Quick Reference
Processes live in: library/
├── methodologies/ # Reusable development approaches (TDD, BDD, Scrum, etc.)
│ └── [name]/
│ ├── README.md # Documentation
│ ├── [name].js # Main process
│ └── examples/ # Sample inputs
│
└── specializations/ # Domain-specific processes
├── [category]/ # Engineering specializations (direct children)
│ └── [process].js
└── domains/
└── [domain]/ # Business, Science, Social Sciences
└── [spec]/
├── README.md
├── references.md
├── processes-backlog.md
└── [process].js
3-Phase Workflow
Phase 1: Research & Documentation
Create foundational documentation:
# Check existing specializations
ls library/specializations/
# Check methodologies
ls library/methodologies/
Create:
README.md- Overview, roles, goals, use cases, common flowsreferences.md- External references, best practices, links to sources
Sponsors
Details
- Repository
- github.com/a5c-ai/babysitter
- Categories
- Data Science & ML, Automation & Workflows
- First seen
- Jun 3, 2026