What problem does it solve?
Repeatable AI tasks often live as ad-hoc prompts with unknown cost, unverified structure, and no audit trail. This Skill captures a repeated task as a checked, budgeted .nika.yaml workflow file that is audited before a single token is spent.
Core Features & Use Cases
- Workflow authoring from templates: Start from
nika examples or nika new --from <template>, then pick models and builtins from the embedded nika catalog and nika tools listings.
- Pre-run auditing:
nika check validates the DAG, prints a cost ceiling or floor before any token is spent, and --native-strict flags exec: tasks that a builtin could replace.
- Deterministic testing and provenance:
nika test replays golden files offline with mock models, and every run writes a hash-chained journal to .nika/traces/ verifiable with nika trace verify.
- Use Case: Turn a weekly report-generation prompt into a
.nika.yaml DAG with typed infer: outputs, a --max-cost-usd spend cap, and CI-pinned golden tests so the workflow runs identically every time.
Quick Start
Ask the agent to capture your repeated AI task as a nika workflow file, run nika check until it passes, and hand you the validated .nika.yaml ready to run.