Build an Atomic Design system from Figma style guides - extract tokens, create atoms/molecules/organisms/templates/pages as reusable component libraries. Use when building or extending a design system or component library.
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28 个(ilandahan 的仓库) · 按人气排序
Build an Atomic Design system from Figma style guides - extract tokens, create atoms/molecules/organisms/templates/pages as reusable component libraries. Use when building or extending a design system or component library.
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Bounded improvement loop: one artifact, fixed eval score, keep an edit only if strictly better. Use for AR_DESIGN/AR_FUNCTION/AR_ACCEPTANCE stages or standalone bounded iteration.
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Decision transparency, feedback collection, and debate invitations for AID methodology. Active in ALL phases for ALL roles.
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Developer role in AID methodology. Use for implementation, debugging, technical design, TDD workflow, code review.
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AID Phase 0 - Research & discovery. Use for validating problem spaces, identifying stakeholders, defining success metrics, deciding whether to proceed.
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AI-powered design review for Figma components with weighted dual-scoring system. Evaluates Style Guide Implementation (70%) and LLM Metadata Accessibility (30%). For export, hands off to atomic-design skill.
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Build pages using ONLY existing atomic-design components. REQUIRES atomic-design skill. Use for composing pages, creating views/features from existing components.
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AID Phase 3 - Implementation Planning with consolidation-first approach. Resolves contradictions between PRD and Tech Spec, creates consolidated master document, then breaks down into actionable tasks and populates Jira. Includes sprint planning and risk assessment.
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AID Phase 5 - QA and Release. Use for validating implementations, acceptance tests, preparing releases, deployment, operational readiness.
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AID Phase 2 - Technical Specification. Use for system architecture, API contracts, data models, security architecture, transitioning from PRD to implementation.
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Comprehensive code review for commits and pull requests. Covers security, TDD, code quality, and documentation standards.
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Real-time work context tracking for session continuity. Maintains task/step state across sessions, tracks progress, manages logs, integrates with phase enforcement.
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Cucumber BDD integration for AID methodology. Gherkin-first acceptance criteria with executable specifications. Use for writing feature files, step definitions, and running acceptance tests.
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Automatic quality check on significant outputs via isolated sub-agent. Spawns reflection-agent for objective evaluation without conversation context bias.
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Data Scientist role within the AID methodology. Activate when working on: EDA, feasibility assessment, experiment planning, ML architecture, model development & validation, or production deployment & monitoring. Stack-agnostic — ask the user for their stack at the start of any new project.
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QA Engineer role in AID methodology. Use for test strategy, BDD scenarios, bug reporting, acceptance testing, flaky test prevention.
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Tech Lead role in AID methodology. Use for architecture decisions, code reviews, technical direction, operational readiness, team guidance.
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Senior System Architect for SaaS specifications. Security-first design with ISO 27001 compliance. Use for system architecture, tech specs, API design, technology choices, distributed systems, cloud infrastructure.
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TDD methodology for production-quality tests. Write tests FIRST driven by PRD, Tech Spec, Implementation Plan. Covers minimal mocking, realistic test data, strong assertions, test independence.
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Drives the Phase 4-5 dev pipeline state machine with sub-agent reviews and bounded autoresearch gates. Use when running /pipeline or executing an approved plan.
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AID Phase 4 - Development phase. Use for implementing features, TDD practices, code reviews, transitioning from planning to QA.
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AID Phase 1 - PRD creation. Use for user stories, acceptance criteria, scoping features, transitioning from discovery to tech spec.
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AID Memory System for session feedback, learning cycles, and skill improvement. Manages state, feedback collection, and improvement analysis. Load for /aid-init, /aid-start, /aid-status, /aid-end, /aid-improve, /aid-memory, /aid-reset.
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[OPTIONAL] AI-powered visual generation using Google Nano Banana Pro. For user flows, architecture diagrams, mockups.
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