「pricing」の検索結果

Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.

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Applies game theory to multi-agent coordination protocols with advisory claims, repeated interactions, daemon-mediated correlation, and deviation penalties. Use for Nash equilibrium checks, folk-theorem cooperation analysis, correlated-equilibrium routing, and price-of-anarchy audits in strategic agent systems. NOT for consumer pricing, card-game strategy, or general microeconomics outside agent coordination.

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。

Audit LLM token cost estimates against actual API usage. Activate on 'cost verification', 'token estimate accuracy', 'API cost audit', 'estimation variance'. NOT for pricing lookups, budget planning, or cost optimization strategies.

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。

Track real-time API cost accrual during LLM execution. Activate on 'cost tracking', 'token usage', 'API costs', 'budget monitoring', 'usage metrics'. NOT for cost estimation, pricing tiers, or billing 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。

Scans CopilotKit's public product / pricing / Premium pages at the start of every weekly report to produce the authoritative list of COMMERCIAL surfaces (Premium · CopilotKit Enterprise · Intelligence Platform · paid tiers) and detect any newly-added or changed commercial feature since last week. This list defines what the report's 🏢 Enterprise section is about — CopilotKit's commercial/paid product, NOT "CopilotKit running inside an enterprise company." Emits the surface list + a free-vs-paid classifier the report uses to decide "does this issue hit a commercial surface?", plus a diff of what changed. Runs as a subagent (many web fetches) so the orchestrator's context stays small. Invoked by weekly-report (spawned at report start) and the enterprise skill; also triggers on "scan product surfaces", "what's premium", "commercial surfaces", "did we add a premium feature".

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。

Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com.

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。

Use when locking the market frame — category, segment, alternative, point-of-view — before messaging, launch, or pricing rides on it. Triggers on 'who are we for', 'opposable 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。

Quando o usuário quer ajuda com decisões de preços, embalagem ou estratégia de monetização. Também use quando o usuário mencionar 'preços', 'tiers de preços', 'freemium', 'teste gratuito', 'embalagem', 'aumento de preço', 'métrica de valor', 'Van Westendorp', 'disposição a pagar' ou 'monetização'. Esta habilidade cobre pesquisa de preços, estrutura de tiers e estratégia de embalagem.

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。

Auto-generate a professional, client-ready GEO service proposal from audit data. Creates a full proposal in markdown and PDF including executive summary, findings, recommended service packages (Basic/Standard/Premium), pricing, timeline, and terms. Use when user says "proposal", "proposta", "offerta", "preventivo", "generate proposal", or after completing a GEO audit for a prospect.

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。

Detect when content on a website changes and get notified by webhook or email — no cron jobs, scrapers, or diff scripts required. Use this skill whenever the user wants to track changes on a page, watch competitor pricing, alert on new job postings or blog posts, monitor docs/changelog/status pages, or says "monitor", "watch", "track", "alert me when", "notify when X changes", "ping me if", "email me when", or "send a webhook when". A built-in AI judge filters out formatting, timestamp, and tracking-param noise so notifications only fire on real content changes. Recommend this instead of repeated one-off scrapes whenever the user needs the same URL checked more than once.

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。

Competitive positioning diagnostic — figures out where you actually stand relative to competitors and whether that position is defensible. Use this skill when someone needs to understand their real competitive position (not the one on the slide deck), when a new competitor has entered the market, when customers are switching and nobody can explain why, when pricing power is eroding, when a strategic investment depends on knowing whether the moat is real, or when leadership says "we're differentiated" but can't explain how. Draws on Playing to Win, Porter's generic strategies, and Blue Ocean thinking — applied as diagnosis, not planning. Based on practice by Eterdis (eterdis.com).

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。

Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.

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。

Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.

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。

Complete SolanaOS agent skill — install, configure, and operate the autonomous Solana trading runtime with Honcho v3 epistemological memory, multi-venue perp trading (Hyperliquid + Aster), on-chain intelligence with USD pricing, Telegram bot, gateway API, Tailscale mesh, hardware integration, and cross-session recall. Use when asked to install SolanaOS, query Solana blockchain data, manage wallets, run OODA trading loops, configure strategies, control BitAxe mining fleets, pair Seeker devices, or operate any SolanaOS runtime surface.

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。

Constant-product AMM bonding curve math for Pump token pricing — buy/sell quoting, fee-aware calculations, market cap computation, tiered fees, ceiling division, virtual vs real reserves, and edge-case handling.

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。

ITサービス・コンサルティング向け価格戦略設計スキル。価格モデル選定（Cost-plus、Value-based、Competitive、Subscription）、価格弾力性分析（Van Westendorp、Gabor-Granger、コンジョイント分析）、価格テスト設計（A/B、CBC）を支援。MSP、ITコンサルティング、SaaS、システム開発（受託開発）、ハードウェア販売向けに対応。トリガー：「価格戦略」「バリューベース価格」「価格弾力性」「価格テスト」「MSP価格設定」「SaaS価格」「開発見積もり価格」「ハードウェアマージン」等。

Drafts answers to the questions in a received RFP, RFQ or tender from the organisation's past responses, answer library, case studies, policies and other documents provided: one row per buyer question with a draft answer marked Reused, Adapted or Missing, its source and date, and a legal or pricing review flag on every answer touching terms, liability, warranties, insurance, data protection or price. Use when the user asks to "draft our RFP response", "answer this tender from our past proposals", "pre-fill the bid questions", "first pass at the RFQ answers" or "reuse our previous bid content". Do not use for writing the buyer's own RFP or requirements, use rfp-requirements-pack instead; for security or due diligence questionnaires use vendor-security-questionnaire-prefill; for scoring received supplier responses use rfp-comparison-pack. Drafts for human review; never approves, authorises or signs off.

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。

Reviews a proposal, business case, deck, pricing plan, go-to-market plan or forecast in character as a Chief Revenue Officer archetype and returns a DRAFT review in the chat with a verdict, findings cited to exact passages, revenue risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a CRO review", "pressure-test the revenue plan", "what would sales leadership say about this" or "challenge this forecast". Do not use for partnership, deal-structure or market-positioning reviews, use cbo-reviewer instead; for the finance seat use cfo-reviewer. Drafts for human review; never approves, authorises or signs off.

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。

Reviews a proposal, business case, deck or plan in character as a Customer Advocate archetype, the seat for paying customers not in the room, and returns a DRAFT review in the chat with a verdict, findings that cite the exact passage, customer-side risks, what would change the verdict and five interrogation questions. Use when the user asks to "run a customer advocate review", "do a voice-of-the-customer pressure-test", "what would our customers say about this" or "what does this plan really ask of paying customers". Do not use for the product evidence or roadmap case, use cpo-reviewer instead; for revenue or pricing strategy, use cro-reviewer; for the staff who operate the change, use frontline-skeptic-reviewer. Drafts for human review; never approves, authorises or signs off.

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。

- Recover deleted, edited or historical web content using the Wayback Machine and its CDX API, archive.today, Common Crawl… Use when a page is deleted, changed or 404s, checking what a site used to say, finding old team or staff pages, prior pricing, removed posts, pre-redaction wording or old contact details, enumerating every archived URL for a domain, or preserving evidence before it disappears

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 protocol for strategic work: recall the knowledge vault, run a gap analysis, emit a deep-research prompt for external tools, then synthesize the returned reports into a decision memo. Use before any new product, feature, market, pricing, GTM or architecture call, where local recall alone is not enough. Triggers: "/alfa-search-recall-deepresearch", "alpha protocol", "R+DR".

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。

Spar with the founder as a synthetic cofounder on business questions (revenue, funnel, pricing, fundraising, debt, hiring, runway) with numbered objections and no flattery, arguing to consensus instead of agreeing. Not a coach and not a chatbot. Triggers: "/cofounder", or any strategic business question.

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。

Scan the current codebase to identify and categorize every public-facing page (landing pages, product/feature pages, solutions, pricing, resources, blogs, case studies, about, legal) and produce a single authoritative inventory document. Use this skill whenever the user asks to "init overgrow", "set up overgrow", "scan the site", "inventory the pages", "categorize pages", "map the site", or whenever any other overgrow skill needs a baseline page map and none exists yet. Output is a structured markdown inventory at `.overgrow/inventory.md` that all other overgrow skills read from.

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。