「pet」の検索結果

Splits scarce time, budget or traffic across competing products, channels, campaigns or variants by treating them as a multi-armed bandit - Thompson sampling over beta posteriors, with optimism for anything not yet tried enough to judge. Use when deciding what to work on next, how to divide a marketing budget, which product to prioritise, whether to kill something that is underperforming, or when picking a winner among test variants.

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。

Separates signal from noise in metrics you cannot observe directly, updating a belief from evidence instead of reacting to the latest reading - Bayesian updates over competing explanations, and a filter that says whether this week's move is real. Use when a metric moves and someone wants to act, when diagnosing why traffic or revenue changed, when a dashboard number contradicts intuition, or when deciding whether a trend is real yet.

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。

Prices research, tests, surveys, dashboards and experiments before running them, by computing how much the result would raise expected utility - which is zero whenever no outcome would change the decision. Use when someone proposes an A/B test, user survey, market study, competitor analysis, analytics build, consultant, pilot, or "let's gather more data", and when deciding how large a study needs to be.

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。

> Game theory, Monte Carlo simulations, behavioral economics, and competitive war gaming.

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。

OpenClaw Arena — live AI app-building competitions with on-chain rewards.

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。

Expert-level biomedical imaging covering X-ray, CT, MRI, ultrasound, nuclear medicine, optical imaging, and image processing for clinical and research applications.

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。

Conduct market research on competition and customers. Use when the user says they need market research

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 orchestrating implementer/judge subagents — form gate + nine modes (do-and-judge ±two-stage, steps/parallel/worktrees, competitively, debate, live-app-judge, adversarial-council).

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 a bug has multiple plausible causes across layers — competing hypotheses, validation loops, evidence-based conclusions — even when the user just says 'why is this happening?'.

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 ranking competing initiatives for a roadmap, breaking a tie between two features, or auditing a backlog for hidden low-value work via Reach × Impact × Confidence ÷ Effort.

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 user wants to learn a topic or verify real understanding — rapid-competence session, error drills, learning sprint, gap probe, Feynman check. Triggers 'teach me X', 'quiz me'.

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。

Paste a URL/snippet before you borrow it — detects its license, runs the derived compatibility policy, and drafts a provenance ledger entry — even before any code is written, not after

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。

Agents work in parallel on the same task; judges evaluate and select the winner.

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。

Agents with competing priorities reach consensus through structured trade-offs.

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。

Quando o usuário quer adicionar, corrigir ou otimizar schema markup e dados estruturados no seu site. Use também quando o usuário menciona "schema markup", "dados estruturados", "JSON-LD", "rich snippets", "schema.org", "FAQ schema", "product schema", "review schema" ou "breadcrumb schema". Para problemas de SEO mais amplos, consulte seo-audit.

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。

Kit de ferramentas de liderança estratégica de produto para Head of Product incluindo geração em cascata de OKRs, análise de mercado, definição de visão e escalabilidade de equipes. Use para planejamento estratégico, alinhamento de objetivos, análise competitiva e desenho organizacional.

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。

Quando o usuário quer planejar, avaliar ou construir uma ferramenta gratuita para fins de marketing — geração de leads, valor em SEO ou conscientização de marca. Use também quando o usuário menciona "engenharia como marketing", "ferramenta gratuita", "ferramenta de marketing", "calculadora", "gerador", "ferramenta interativa", "ferramenta de geração de leads", "construir uma ferramenta para leads" ou "recurso gratuito". Esta competência conecta engenharia e marketing — útil para fundadores e profissionais de marketing técnico.

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。

Extrai e analisa anúncios de concorrentes de bibliotecas de anúncios (Facebook, LinkedIn, etc.) para entender que mensagens, problemas e abordagens criativas estão funcionando. Ajuda a inspirar e melhorar suas próprias campanhas de anúncios.

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。

Cria planos de implementação detalhados e segmentados através de pesquisa, entrevistas com stakeholders e revisão multi-LLM. Use quando planejar features que precisam de análise pré-implementação aprofundada.

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。

Skill de pesquisa profunda alimentado por NotebookLM MCP. Conduz pesquisa estruturada em múltiplas fontes (análise de mercado, inteligência competitiva, análise de tendências, pesquisa de prospects) usando Google NotebookLM como mecanismo de pesquisa, depois entrega briefs formatados e artefatos opcionais de estúdio (slides, podcasts de áudio, vídeos, infográficos, relatórios, mapas mentais).

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。

[Research] Use when you need to analyze market landscape: competitors, sizing (TAM/SAM/SOM), trends, SWOT, customer segments.

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。

Explore competing approaches through independent agents before selecting an 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。

Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.

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。