What problem does it solve?
This Skill automates complex tasks by leveraging OpenAI Codex's /goal feature, enabling a persistent agent loop for continuous execution and verification of tasks.
Core Features & Use Cases
- Persistent Agent Loop: Executes a task in a loop until a stop condition is met.
- Plan → Act → Test → Review → Iterate: Follows a structured process for task execution.
- Use Case: Ideal for tasks like software migrations, coverage lifts, and refactors with contract tests.
Quick Start
Start a goal loop to automate the migration process by typing: /goal Migrate this project from Pydantic v1 to v2. Read first: pyproject.toml, src/, tests/. Constraints: no public API changes; keep imports backwards-compatible via shims if needed; no new dependencies. Validate after each change with: pytest -q. Work in checkpoints; log progress briefly. Stop when: full suite passes with zero deprecation warnings, OR when a change requires architecture decisions.