con un clic
kiro-validate-design
Interactive technical design quality review and validation
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Menú
Interactive technical design quality review and validation
Instalar con Codex o Claude Copia este prompt, pégalo en Codex, Claude u otro asistente, y deja que revise la página de la skill y la instale por ti.
Basado en la clasificación ocupacional SOC
Integrating Chrome DevTools and browser automation via MCP for live UI inspection, screenshot-to-code workflows, and visual debugging. Bridges the gap between design and implementation.
Raw mechanical interfaces fusing Swiss typographic print with military terminal aesthetics. Rigid grids, extreme type scale contrast, utilitarian color, analog degradation effects. For data-heavy dashboards, portfolios, or editorial sites that need to feel like declassified blueprints.
Use when the user says /rise, "good morning", "let's start the day", or wants their morning consciousness routine. Identifies the Floor from natural-language check-in (does NOT ask the user to name a floor), runs body movement scaled to cycle phase or feeling, recommends top 1-3 priorities from configured to-do files, derives a daily intention. Pairs with /journal at night for accountability. Do NOT use for evening reflection (use /journal), pattern detection (use /patterns), or workout prescription (use /coach for the full session — /rise only handles the post-wake body wake-up flow).
FLOW framework integration — evidence-led SEO using the Find → Leverage → Optimize → Win loop. Surfaces stage-specific AI prompts from the FLOW knowledge base (41 prompts, CC BY 4.0). Use when user says "FLOW", "FLOW framework", "seo flow", "evidence-led SEO", "find leverage optimize win", or wants stage-specific SEO prompts.
Index and search culture documentation
Advanced Scrum Master skill for data-driven agile team analysis and coaching. Use when the user asks about sprint planning, velocity tracking, retrospectives, standup facilitation, backlog grooming, story points, burndown charts, blocker resolution, or agile team health. Runs Python scripts to analyse sprint JSON exports from Jira or similar tools: velocity_analyzer.py for Monte Carlo sprint forecasting, sprint_health_scorer.py for multi-dimension health scoring, and retrospective_analyzer.py for action-item and theme tracking. Produces confidence-interval forecasts, health grade reports, and improvement-velocity trends for high-performing Scrum teams.
| name | kiro-validate-design |
| description | Interactive technical design quality review and validation |
| metadata | {"shared-rules":"design-review.md"} |
<background_information>
{{KIRO_DIR}}/specs/$1/spec.json for language and metadata{{KIRO_DIR}}/specs/$1/requirements.md for requirements{{KIRO_DIR}}/specs/$1/design.md for design documentproduct.md, tech.md, structure.mdThe following research areas are independent and can be executed in parallel:
rules/design-review.md from this skill's directory for review criteriaIf multi-agent is enabled, spawn sub-agents for each area above. Otherwise execute sequentially.
After all parallel research completes, synthesize findings for review.
Execute Design Review:
Decision and Next Steps:
Provide output in the language specified in spec.json with:
Format Requirements:
/kiro-spec-design $1 first to generate design document"en) if spec.json doesn't specify languageIf Design Passes Validation (GO Decision):
/kiro-spec-tasks $1 to generate implementation tasks/kiro-spec-tasks $1 -y to auto-approve and proceed directlyIf Design Needs Revision (NO-GO Decision):
/kiro-spec-design $1 with improvements/kiro-validate-design $1Note: Design validation is recommended but optional. Quality review helps catch issues early.