spec-first:plan

To generate an execution plan for AI development, define the feature scope and use this Skill to outline clear next steps, resource needs, and potential challenges for each development stage.

Assessing technical risks in an AI workflow involves identifying, categorizing, and rating potential requirement and progress risks to proactively mitigate issues before they impact the project.

Identifying blockers in AI development requires detecting impediments hindering progress and generating suggested solutions to keep the workflow moving forward smoothly.

Yes, you can use it for structured planning across various AI development stages, as it supports risk mitigation, integrates with governance signals, and provides actionable insights for orchestration.

You need risk assessment and blocker identification before starting the implementation phase of a new AI feature, ensuring alignment, structured progress, and preparedness for potential challenges.

AI development workflows need governance signals and orchestration insights to ensure structured, auditable progress and provide actionable next steps that align with project requirements.