「implementation」の検索結果

Execute plans via autonomous agents with two-stage review per task. Use for complex implementations requiring quality gates.

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Verifies implementation plan quality across 8 dimensions (requirement-coverage, task-completeness, dependency-validity, scope-sanity, artifact-wiring, risk-assessment, testability, estimation-quality) and returns pass/fail with per-dimension scores.

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。

Generate structured Product Requirements Documents using hypothesis-driven methodology with Implementation Phases tracking.

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 validation and fix loop workflow — validates implementation completeness then iterates fix cycles until all acceptance criteria pass and quality gates clear

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。

Comprehensive 7-phase SEO optimization workflow covering technical SEO auditing, keyword research strategy, on-page optimization, content SEO and E-E-A-T, structured data implementation, link building, and AI search optimization. Use when auditing search engine visibility, diagnosing ranking issues, implementing schema markup, conducting keyword research, optimizing content for E-E-A-T signals, or adapting for AI-driven search (AI Overviews, SGE).

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。

Dispatch code-reviewer agent for two-stage review. Use after completing implementation tasks.

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。

Details Paraglide.js i18n implementations.

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Describes Form and Actions implementations.

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Transforms vague UI/feature requests into structured, optimized prompts with design system awareness. Use when generating prompts for UI implementation, feature specification, or design-to-code translation. Triggers on tasks requiring prompt refinement, UI specification, or design system integration.

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。

Figma design-to-code workflow. Read Figma files, inspect components, extract design tokens, and translate designs to implementation. Use when working with Figma designs, extracting styles, or building design systems.

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。

Feature flag lifecycle management -- safe feature toggling, gradual rollouts, A/B testing patterns, flag cleanup strategies, and technical debt prevention. Covers LaunchDarkly, Unleash, OpenFeature, and custom implementations.

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Validate planned changes against local framework rules and policy guardrails before implementation or creation.

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。

Socratic design refinement before implementation — challenges assumptions, surfaces alternatives, identifies risks before code is written

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。

Ask the minimum clarifying questions before implementation when requirements are ambiguous or missing crucial details

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。

Agent Brain /brain-build: an implementation plan has a selected task and validation method.

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Inverted orchestration—Codex CLI acts as CTO (planning and reviewing), Claude Code executes with native tools. Use when a task benefits from external architectural oversight before and after 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。

Plan the UX and UI for a feature before writing code. Run a structured discovery interview, then produce a design brief (.design-context.md) that guides implementation. Establishes design direction, constraints, and strategy before any code is written. Triggers on plan the design, design brief, shape the UX, before we build, design discovery.

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Create, fetch, validate, or export DESIGN.md design system files in the Google Stitch 9-section format. Fetch reference designs from 68 brands (Linear, Stripe, Vercel, etc.) via getdesign CLI, generate scaffolds from existing CSS custom properties and Tailwind tokens, or validate and export with the Google @google/design.md CLI. Pairs with minoan-frontend-design for implementation. Triggers on "DESIGN.md", "create design system file", "extract design tokens", "codify the design", "getdesign", "make it look like [brand]", "lint design", "validate DESIGN.md", "export design tokens", "export tailwind theme".

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Research UI component patterns across the component.gallery corpus — 60 canonical component types, ~95 production design systems, 2,600+ examples — plus an AI-era overlay (prompt inputs, tool-call cards, streaming status, citations) and composite patterns (command palette, app shell, agent console). Compare implementations, find alternative component names, ground frontend decisions in real-world precedent. Pairs with minoan-frontend-design for research-then-build workflows. Triggers on component patterns, how do others implement X, design system research, component comparison, AI chat components, agent UI patterns.

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Review software architecture for coupling, cohesion, SOLID principles, API design, scalability, and technical debt. Covers system-level evaluation, architecture decision record review, and improvement recommendations. Use when evaluating a proposed architecture before implementation, assessing an existing system for scalability or security, reviewing ADRs, performing a technical debt assessment, or evaluating readiness for significant scale-up.

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Manage change control for validated computerized systems. Covers change request triage (emergency, standard, minor), impact assessment on validated state, revalidation scope determination, approval workflows, implementation tracking, and post-change verification. Use when a validated system requires a software upgrade, patch, or configuration change; when infrastructure changes affect validated systems; when a CAPA requires system modification; or when emergency changes need expedited approval and retrospective documentation.

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Extract the conceptual essence of a repository as skills, agents, and teams — the project's roles, procedures, and coordination patterns expressed as agentskills.io-standard definitions. Reads an arbitrary codebase and produces generalized definitions that capture WHAT the project does and WHO operates it, without replicating HOW it does it. Use when onboarding to a new codebase and wanting to understand its conceptual architecture, when bootstrapping an agentic system from an existing project, when studying a project's organizational DNA for cross-pollination, or when creating a skill/agent/team library inspired by a reference implementation.

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Design an A2A Agent Card (.well-known/agent.json) manifest describing agent capabilities, skills, authentication requirements, and supported content types. Use when building an agent that must be discoverable by other A2A-compliant agents, exposing capabilities for multi-agent orchestration, migrating an existing agent to the A2A protocol, defining the public contract for an agent before implementation, or integrating with agent registries that consume Agent Cards.

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Evaluate and simplify Boolean expressions using truth tables, algebraic laws (De Morgan, distributive, absorption, idempotent, consensus), and Karnaugh maps for up to six variables. Use when you need to reduce a Boolean expression to its minimal sum-of-products or product-of-sums form, verify logical equivalence between two expressions, or prepare a minimized function for gate-level 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。