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/kiro-validate-design

Interactive technical design quality review and validation

From plugin
cc-sdd
3.6k136 skills14 agents35 commands
Install
$ npx -y skills add gotalab/cc-sdd --skill kiro-validate-design --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/kiro-validate-design

Context preview

The summary Claude sees to decide when to auto-load this skill.

Interactive technical design quality review and validation

SKILL.md

kiro-validate-design.SKILL.md
name: kiro-validate-design
description: Interactive technical design quality review and validation
metadata:
  shared-rules: "design-review.md"

Technical Design Validation

<background_information>

  • **Mission**: Conduct interactive quality review of technical design to ensure readiness for implementation
  • **Success Criteria**:
  • Critical issues identified (maximum 3 most important concerns)
  • Balanced assessment with strengths recognized
  • Clear GO/NO-GO decision with rationale
  • Actionable feedback for improvements if needed

</background_information>

<instructions>

Core Task

Interactive design quality review for feature **$1** based on approved requirements and design document.

Execution Steps

1. **Gather Context**:

  • Read `{{KIRO_DIR}}/specs/$1/spec.json` for language and metadata
  • Read `{{KIRO_DIR}}/specs/$1/requirements.md` for requirements
  • Read `{{KIRO_DIR}}/specs/$1/design.md` for design document
  • Core steering context: `product.md`, `tech.md`, `structure.md`
  • Additional steering files only when directly relevant to architecture boundaries, integrations, runtime prerequisites, domain rules, security/performance constraints, or team conventions that affect implementation readiness
  • Relevant local agent skills or playbooks only when they clearly match the feature's host environment or use case and provide review-relevant context

Parallel Research

The following research areas are independent and can be executed in parallel: 1. **Context & rules loading**: Spec documents, core steering, task-relevant extra steering, relevant local agent skills/playbooks, and `rules/design-review.md` from this skill's directory for review criteria 2. **Codebase pattern survey**: Gather existing architecture patterns, naming conventions, and component structure from the codebase to use as reference during review

If multi-agent is enabled, spawn sub-agents for each area above. Otherwise execute sequentially.

After all parallel research completes, synthesize findings for review.

2. **Execute Design Review**:

  • Reference conversation history when available: leverage prior requirements discussion and user's stated design intent
  • Follow design-review.md process: Analysis → Critical Issues → Strengths → GO/NO-GO
  • Limit to 3 most important concerns
  • Engage interactively with user — ask clarifying questions, propose alternatives
  • Use language specified in spec.json for output

3. **Decision and Next Steps**:

  • Clear GO/NO-GO decision with rationale
  • Provide specific actionable next steps (see Next Phase below)

Important Constraints

  • **Quality assurance, not perfection seeking**: Accept acceptable risk
  • **Critical focus only**: Maximum 3 issues, only those significantly impacting success
  • **Conversation-aware**: Leverage discussion history for requirements context and user intent when available
  • **Interactive approach**: Engage in dialogue, ask clarifying questions, propose alternatives
  • **Balanced assessment**: Recognize both strengths and weaknesses
  • **Actionable feedback**: All suggestions must be implementable
  • **Context Discipline**: Start with core steering and expand only with review-relevant steering or use-case-aligned local agent skills/playbooks

</instructions>

Tool Guidance

  • **Read first**: Load spec, core steering, relevant local playbooks/agent skills, and rules before review
  • **Grep if needed**: Search codebase for pattern validation or integration checks
  • **Interactive**: Engage with user throughout the review process

Output Description

Provide output in the language specified in spec.json with:

1. **Review Summary**: Brief overview (2-3 sentences) of design quality and readiness 2. **Critical Issues**: Maximum 3, following design-review.md format 3. **Design Strengths**: 1-2 positive aspects 4. **Final Assessment**: GO/NO-GO decision with rationale and next steps

**Format Requirements**:

  • Use Markdown headings for clarity
  • Follow design-review.md output format
  • Keep summary concise

Safety & Fallback

Error Scenarios

  • **Missing Design**: If design.md doesn't exist, stop with message: "Run `/kiro-spec-design $1` first to generate design document"
  • **Design Not Generated**: If design phase not marked as generated in spec.json, warn but proceed with review
  • **Empty Steering Directory**: Warn user that project context is missing and may affect review quality
  • **Language Undefined**: Default to English (`en`) if spec.json doesn't specify language

Next Phase: Task Generation

**If Design Passes Validation (GO Decision)**:

  • Review feedback and apply changes if needed
  • Run `/kiro-spec-tasks $1` to generate implementation tasks
  • Or `/kiro-spec-tasks $1 -y` to auto-approve and proceed directly

**If Design Needs Revision (NO-GO Decision)**:

  • Address critical issues identified
  • Re-run `/kiro-spec-design $1` with improvements
  • Re-validate with `/kiro-validate-design $1`

**Note**: Design validation is recommended but optional. Quality review helps catch issues early.

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