// Verifies implementation aligns with stated requirements and acceptance criteria. Use before implementation (to clarify scope) and before final sign-off (to detect gaps).
Multi-model supervisor that discovers skills, picks models, and composes runs. Use when executing multi-step plans across multiple models.
Agent execution engine that composes prompts, routes models, and writes run artifacts. Use when launching subagent runs.
Multi-model supervisor that discovers skills, picks models, and composes runs. Use when executing multi-step plans across multiple models.
Agent execution engine that composes prompts, routes models, and writes run artifacts. Use when launching subagent runs.
Breaks the next task from a plan into an implementable task file. Use when decomposing a multi-step plan into ordered work units.
Explores codebases and evaluates approaches before planning. Use when investigating a problem space, comparing alternatives, or gathering context for a plan.
| name | spec-aligning |
| description | Verifies implementation aligns with stated requirements and acceptance criteria. Use before implementation (to clarify scope) and before final sign-off (to detect gaps). |
Use this skill to sanity-check whether work matches intent.
Good fit when:
Use whichever requirement sources are available, typically:
If sources conflict, call that out and proceed with the most defensible interpretation.
Suggested flow (adapt as needed):
Keep output concise and decision-oriented. A short structure that often works:
Use explicit evidence when possible, but keep the format flexible for the task.
