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概要と使いどころ
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
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。
React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.
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。
Set up kpopper watch for background branch compatibility, scoped shared facts, and daily review. Use when asked to watch a project's graph, check worktree changes against main, share external observations, or install a kpopper routine. Ordinary followup capture recommends scheduling without enabling it.
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。
Write what the work found into the project's knowledge record, so the next session inherits it instead of re-deriving it. Use the moment something worth keeping exists: a fact taken from a source, a rule worked out, a decision or conclusion, a measurement, a correction to a recorded value, or a question left open - and check for unrecorded findings before implementation, handoff (including a PR), or finishing work. Record within the user's write authorization. The first write creates GROUNDING.yaml. Covers one-report update, add, set, review, same and distinct, judgments with a falsifier, and background capture.
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。
Domain-Driven Design system for software development. Use when designing new systems with DDD principles, refactoring existing codebases toward DDD, generating code scaffolding (entities, aggregates, repositories, domain events), facilitating Event Storming sessions, creating bounded context maps, or performing code reviews with a DDD lens. Covers both strategic design (bounded contexts, subdomains, context maps, ubiquitous language) and tactical design (entities, value objects, aggregates, domain services, repositories). Supports all major architecture patterns (Hexagonal/Ports & Adapters, CQRS, Event Sourcing, Clean Architecture) with language-agnostic guidance and concrete examples in Python and TypeScript.
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。
Builds and improves task-specific decision artifacts from application requirements and labeled records. Use for data assembly, primitive and base-model selection, fitting, export/reload, inference policy, or bounded data/model/program improvement. Includes rules and no-training outcomes; does not require a rung ladder or training a general Jev.
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。
Creates complete newsletter editions for the Flow Factor Newsletter on Beehiiv. Generates full newsletter text (1,200-1,500 words), SEO metadata, subject lines, header illustration prompts, and NotebookLM audio briefing prompts. Use when user asks to write a newsletter, create email content, plan newsletter editions, or produce Beehiiv-ready content.
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 you need CRAP score and coverage risk analysis to find high-risk code before refactoring or release. Keywords: CRAP score, risk hotspots, cyclomatic complexity, test coverage gaps, coverage threshold.
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。
Re-audit code changes to identify side effects, regression risks, and unhandled edge cases before merging or deploying. Use after a change is complete and before merging to a shared branch, before deploying a hotfix, after complex multi-module refactoring, or when a previous review may have missed side effects in async, state-mutating, or security-sensitive code paths.
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 extracting Voice-of-Customer themes from existing artefacts — GH issues, PR threads, Sentry patterns. Triggers on 'what are users saying', 'recurring complaints', 'top themes'.
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。
Implementing a feature, fixing a bug, refactoring — failing test first, then the code. For a WRONG test, `testing-anti-patterns` wins.
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 condensing, decondenseing, refactoring, or improving existing skills. Covers the full skill lifecycle from verbose → sharp → maintained.
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 for multi-step / ambiguous / end-to-end work — refactor a whole module, drive a vague ticket to a verified result, plan+build+verify a migration; coordinates the reasoning chain across skills.
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 tracing the root cause of a resolved incident or recurring bug — 5-whys chain, fishbone categorisation, contributing-factors split — even if the user says 'why does this keep breaking?'.
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 the rule set is over the Augment budget, when a new rule would breach it, or when asked to audit / merge / prune rules — runs the audit pipeline and proposes a verdict per rule.
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。
Before stating any specific fact about an LLM provider's product — models, pricing, limits, context windows, SDK/API — for OpenAI, Gemini, Claude & others, verify against official docs, not memory.
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。
Writes or edits PHP code — controllers, classes, type hints, SOLID refactors, modern idioms — even without naming PHP. NOT for writing tests (use pest-testing) or explaining PHP concepts.
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。
When scoring a roadmap, PR review, ADR, or ticket for completeness — risk, tests, migration, maintainability. Dispatched by /refine-ticket, /adr-create, /review-changes; never auto-gates.
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 implementing, debugging, refactoring, or reviewing code — enforces the think → analyze → verify → execute workflow — even when the user just says 'implement X' without naming it.
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。
Blind dual-implementation pattern where two agents independently create artifacts, then a third agent judges which is better and synthesizes learnings.
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。
Two agents co-create an artifact through turn-based iteration until both signal DONE.
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。
Check any artifact against an explicit specification and report adherence using the add-comments workspace format. Use when validating plans, scripts, docs, or code changes against a source-of-truth spec.
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。
Multi-agent web research with cross-fact-checking and verified synthesis.
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。
Suite de ferramentas para criar artefatos HTML elaborados e multi-componentes para claude.ai usando tecnologias web frontend modernas (React, Tailwind CSS, shadcn/ui). Use para artefatos complexos que requerem gerenciamento de estado, roteamento ou componentes shadcn/ui - não para artefatos HTML/JSX simples em arquivo único.
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。