plan-validation
Validate a plan or pipeline with evidence-based checks, dry runs, and research. Use when the user asks to validate, verify, or QA a plan or process or asks for confidence.
When & Why to Use This Skill
The Plan Validation skill empowers users to systematically verify the feasibility and reliability of complex plans or pipelines. By utilizing evidence-based checks, dry runs, and a structured validation matrix, it identifies potential risks and provides a data-driven confidence score to ensure successful execution and minimize failure rates.
Use Cases
- Software Engineering: Validating deployment pipelines and CI/CD workflows through dry runs and evidence-based QA checks to prevent production errors.
- Project Management: Auditing complex project roadmaps to identify hidden dependencies, resource blockers, and feasibility risks before the kickoff phase.
- Data Operations: Verifying large-scale data migration or processing plans to ensure data integrity, environment permissions, and system compatibility.
- Operational Strategy: Testing new business processes or SOPs against realistic success criteria and evidence to ensure they are actionable and scalable.
| name | plan-validation |
|---|---|
| description | Validate a plan or pipeline with evidence-based checks, dry runs, and research. Use when the user asks to validate, verify, or QA a plan or process or asks for confidence. |
Plan Validation
Overview
Turn a plan into a validation matrix and verify it with evidence.
Workflow
- Map each plan step to a validation method (test, dry run, sample, or metric).
- Identify required data, environments, and permissions.
- Run or propose minimal checks that prove feasibility early.
- Report confidence with supporting evidence and remaining risks.
Validation Matrix
- Step
- Validation method
- Success criteria
- Evidence or blockers
Output Rules
- Provide a realistic confidence percentage with rationale.
- Call out what is untested and what would change the confidence.
- Separate evidence from assumptions and label unknowns explicitly.
Acceptance Criteria
- Validation matrix is present and complete.
- Confidence includes rationale and remaining unknowns.