PM role in AID methodology. Use for requirements, user stories, acceptance criteria, stakeholder management, scope definition.
日本語の概要は準備中です。原文の説明を表示しています。
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PM role in AID methodology. Use for requirements, user stories, acceptance criteria, stakeholder management, scope definition.
日本語の概要は準備中です。原文の説明を表示しています。
QA Engineer role in AID methodology. Use for test strategy, BDD scenarios, bug reporting, acceptance testing, flaky test prevention.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Decision transparency, feedback collection, and debate invitations for AID methodology. Active in ALL phases for ALL roles.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
AID Phase 2 - Technical Specification. Use for system architecture, API contracts, data models, security architecture, transitioning from PRD to implementation.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Automatic quality check on significant outputs via isolated sub-agent. Spawns reflection-agent for objective evaluation without conversation context bias.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
AID Phase 4 - Development phase. Use for implementing features, TDD practices, code reviews, transitioning from planning to QA.
日本語の概要は準備中です。原文の説明を表示しています。
AID Phase 5 - QA and Release. Use for validating implementations, acceptance tests, preparing releases, deployment, operational readiness.
日本語の概要は準備中です。原文の説明を表示しています。
FOUNDATIONAL SKILL - Analyze every prompt for underlying motivation using Golden Circle (WHY->HOW->WHAT). Runs BEFORE any other skill. No action without understanding WHY.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Tech Lead role in AID methodology. Use for architecture decisions, code reviews, technical direction, operational readiness, team guidance.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
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.
日本語の概要は準備中です。原文の説明を表示しています。
Use when designing, redesigning, or improving a frontend interface in Angular, React, or Blazor. Use for landing pages, dashboards, components, forms, and responsive layouts that must work mobile-first and then scale to desktop.
日本語の概要は準備中です。原文の説明を表示しています。
UI/UX design intelligence. 67 styles, 96 palettes, 57 font pairings, 25 charts, 13 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
日本語の概要は準備中です。原文の説明を表示しています。
Full SEO audit for rtk-ldp landing pages — JSON-LD schemas, OG tags, meta, robots, titles. Outputs a structured pass/fail checklist with score.
日本語の概要は準備中です。原文の説明を表示しています。
Anti-slop frontend skill for landing pages, portfolios, and redesigns. The agent reads the brief, infers the right design direction, and ships interfaces that do not look templated. Real design systems when applicable, audit-first on redesigns, strict pre-flight check.
日本語の概要は準備中です。原文の説明を表示しています。
Amplify safe or boring designs to make them more visually interesting and stimulating. Increases impact while maintaining usability. Use when the user says the design looks bland, generic, too safe, lacks personality, or wants more visual impact and character.
日本語の概要は準備中です。原文の説明を表示しています。
Amplify safe or boring designs to make them more visually interesting and stimulating. Increases impact while maintaining usability. Use when the user says the design looks bland, generic, too safe, lacks personality, or wants more visual impact and character.
日本語の概要は準備中です。原文の説明を表示しています。
Detects and analyzes fileless malware that operates entirely in memory using PowerShell, WMI, .NET reflection, registry-resident payloads, and living-off-the-land binaries (LOLBins) without writing traditional executable files to disk. Activates for requests involving fileless threat detection, in-memory malware investigation, LOLBin abuse analysis, or WMI persistence examination.
日本語の概要は準備中です。原文の説明を表示しています。