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Add the Kiro-style agentic SDLC tooling used to drive this project: the .opencode/skills/kiro-* skill set (discovery, spec init/requirements/design/ tasks, validation, implementation, review, steering), the .kiro/settings templates, and AGENTS.md describing the workflow. Update the spec docs (assessment/design/requirements/tasks) to current state. Scope tests/test_opencode_skills.py to the project's own openultrasast-* skills so the third-party kiro-* tooling (which uses a different frontmatter convention) no longer breaks the frontmatter check. Co-Authored-By: Claude Opus 4.8 <[email protected]>
104 lines
4.9 KiB
Markdown
104 lines
4.9 KiB
Markdown
---
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name: kiro-validate-design
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description: Interactive technical design quality review and validation
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metadata:
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shared-rules: "design-review.md"
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---
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# Technical Design Validation
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<background_information>
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- **Mission**: Conduct interactive quality review of technical design to ensure readiness for implementation
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- **Success Criteria**:
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- Critical issues identified (maximum 3 most important concerns)
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- Balanced assessment with strengths recognized
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- Clear GO/NO-GO decision with rationale
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- Actionable feedback for improvements if needed
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</background_information>
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<instructions>
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## Core Task
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Interactive design quality review for feature **$1** based on approved requirements and design document.
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## Execution Steps
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1. **Gather Context**:
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- Read `.kiro/specs/$1/spec.json` for language and metadata
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- Read `.kiro/specs/$1/requirements.md` for requirements
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- Read `.kiro/specs/$1/design.md` for design document
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- Core steering context: `product.md`, `tech.md`, `structure.md`
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- 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
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- Relevant local agent skills or playbooks only when they clearly match the feature's host environment or use case and provide review-relevant context
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#### Parallel Research
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The following research areas are independent and can be executed in parallel:
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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
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2. **Codebase pattern survey**: Gather existing architecture patterns, naming conventions, and component structure from the codebase to use as reference during review
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If multi-agent is enabled, spawn sub-agents for each area above. Otherwise execute sequentially.
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After all parallel research completes, synthesize findings for review.
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2. **Execute Design Review**:
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- Reference conversation history when available: leverage prior requirements discussion and user's stated design intent
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- Follow design-review.md process: Analysis → Critical Issues → Strengths → GO/NO-GO
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- Limit to 3 most important concerns
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- Engage interactively with user — ask clarifying questions, propose alternatives
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- Use language specified in spec.json for output
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3. **Decision and Next Steps**:
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- Clear GO/NO-GO decision with rationale
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- Provide specific actionable next steps (see Next Phase below)
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## Important Constraints
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- **Quality assurance, not perfection seeking**: Accept acceptable risk
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- **Critical focus only**: Maximum 3 issues, only those significantly impacting success
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- **Conversation-aware**: Leverage discussion history for requirements context and user intent when available
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- **Interactive approach**: Engage in dialogue, ask clarifying questions, propose alternatives
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- **Balanced assessment**: Recognize both strengths and weaknesses
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- **Actionable feedback**: All suggestions must be implementable
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- **Context Discipline**: Start with core steering and expand only with review-relevant steering or use-case-aligned local agent skills/playbooks
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</instructions>
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## Tool Guidance
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- **Read first**: Load spec, core steering, relevant local playbooks/agent skills, and rules before review
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- **Grep if needed**: Search codebase for pattern validation or integration checks
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- **Interactive**: Engage with user throughout the review process
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## Output Description
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Provide output in the language specified in spec.json with:
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1. **Review Summary**: Brief overview (2-3 sentences) of design quality and readiness
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2. **Critical Issues**: Maximum 3, following design-review.md format
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3. **Design Strengths**: 1-2 positive aspects
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4. **Final Assessment**: GO/NO-GO decision with rationale and next steps
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**Format Requirements**:
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- Use Markdown headings for clarity
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- Follow design-review.md output format
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- Keep summary concise
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## Safety & Fallback
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### Error Scenarios
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- **Missing Design**: If design.md doesn't exist, stop with message: "Run `/kiro-spec-design $1` first to generate design document"
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- **Design Not Generated**: If design phase not marked as generated in spec.json, warn but proceed with review
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- **Empty Steering Directory**: Warn user that project context is missing and may affect review quality
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- **Language Undefined**: Default to English (`en`) if spec.json doesn't specify language
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### Next Phase: Task Generation
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**If Design Passes Validation (GO Decision)**:
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- Review feedback and apply changes if needed
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- Run `/kiro-spec-tasks $1` to generate implementation tasks
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- Or `/kiro-spec-tasks $1 -y` to auto-approve and proceed directly
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**If Design Needs Revision (NO-GO Decision)**:
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- Address critical issues identified
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- Re-run `/kiro-spec-design $1` with improvements
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- Re-validate with `/kiro-validate-design $1`
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**Note**: Design validation is recommended but optional. Quality review helps catch issues early.
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