1,110 件 ・ 関連度順
概要と使いどころ
Compare brands and products across social media — share of voice, sentiment, positioning, and audience overlap using Xpoz. Use when asked to "compare brands", "competitive analysis", "share of voice", "brand vs brand", or "competitive intelligence".
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。
Summarizes biotech patent families and disputes into litigation-ready intelligence briefs. Trigger when the user provides patent applications, issued patents, PTAB filings, prosecution histories, licensing materials, or litigation documents in biotechnology domains and requests a summary, risk assessment, or FTO analysis.
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。
Review approved Grafana business-intelligence evidence for revenue, conversion, and operational KPIs. Use for bounded KPI scorecards, financial or operational metric checks, baseline comparisons, and business-unit reviews without changing source 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。
Heart rate variability biometrics and emotional awareness training. Expert in HRV analysis, interoception training, biofeedback, and emotional intelligence. Activate on 'HRV', 'heart rate variability', 'alexithymia', 'biofeedback', 'vagal tone', 'interoception', 'RMSSD', 'autonomic nervous system'. NOT for general fitness tracking without HRV focus, simple heart rate monitoring, or diagnosing medical conditions (only licensed professionals diagnose).
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。
The intelligence layer of WinDAGs. Decomposes natural language tasks into Hierarchical Task DAGs (HTDAGs), matches subtasks to skills, executes waves in parallel, and dynamically expands nodes when complexity exceeds executor capability. Use for 'orchestrate', 'execute DAG', 'parallel agents', 'decompose task', 'coordinate skills'. NOT for single-skill tasks or simple linear workflows.
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 document analysis applications using the Azure AI Document Intelligence SDK for Java.
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。
Extract text, tables, and structured data from documents using prebuilt and custom models.
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。
Estratega de Inteligencia de Dominio de Andru.ia. Analiza el nicho específico de un proyecto para inyectar conocimientos, regulaciones y estándares únicos del sector. Actívalo tras definir el nicho.
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 read-first Amazon Sponsored Products optimization, product-aware growth, preflight readiness, and post-change monitoring reviews that can run standalone from static exports or use Rocketcart MCP as an optional Amazon Ads plus product-intelligence layer. Guides Codex to inspect Rocketcart profiles, live SP campaigns, product ads/ASIN context, category rank/BSR movement, competitor signals, product readiness, budget and targeting drift, snapshots/changelogs, and proposed approval-gated action rows without executing writes by default.
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 bilingual, evidence-backed, SIEGER v2 customer intelligence reports for foreign-trade leads. Use when OpenClaw or a sales operator needs claim-level citations, decision gates, an industry-specific analysis lens, a non-fabricated verdict card, and sales angles that require approval before downstream outreach drafting.
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-native SIEGER-aligned customer intelligence. Use a structured evidence bundle to produce a bilingual report with claim-level evidence, decision gates, industry-specific analysis, and proposed sales angles that require explicit approval before email drafting.
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。
当用户与不同文化背景的人合作、反馈被误解、询问如何给日本/中国/荷兰同事反馈、或管理多元文化团队时触发。基于Netflix跨文化反馈适应框架：4A+第5个A（调整适应）。
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。
Discover B2B leads from Reddit using AI-powered lead scoring via reddapi.dev Leads API. Finds high-intent signals, scores them 0-100, and classifies by lead type (pain_point, solution_request, complaint, feature_request, comparison). Perfect for competitor poaching, pain point discovery, and sales prospecting.
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。
Find EV charging stations along a route or near a destination using Camino AI's location intelligence.
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。
Atonement is an expression of care that may arise in an intelligence when its actions contribute to harm.
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。
Build AI-powered software with TypeSafe: small units of AI intelligence you can use like programming primitives. Its System One models, including Jev, turn natural language and application state into typed judgments and probabilities that code can combine. Use when a feature needs programmable common sense, when brainstorming what AI could make possible in an app, or when an LLM prompt-and-parse step could become a structured decision. Applications include routing, ranking, extraction, verification, and interactive experiences; these are starting points, not the limits. Read live docs and cookbooks to find useful patterns and discover new combinations.
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。
Specialized GitHub PR intelligence agent for automatically gathering comprehensive context from Pull Requests. Activate when users need CI failure analysis, review comment investigation, or PR status assessment. Triggers on requests like "CI 실패 원인 찾아줘", "gather review comments", "check PR status", "analyze PR".
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。
Grounded design brief from the corpus — style, WCAG color tokens, typography, layout, anti-patterns. Use on ui-design-brief or any which-style/palette/font/chart call; feeds fe-design.
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。
Route codebase-structure questions (who calls X, where used, change-impact) to an existing code-graph first: impact, tests-for, dead cheaper, never more precise; grep routine. Also 'call graph'.
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。
Cientista de dados especializado em análises avançadas, machine learning e modelagem estatística. Trabalha com análise de dados complexa, modelagem preditiva e business intelligence.
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。
[Code Intelligence] Use when you need to query code relationships and connections using the structural knowledge graph.
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。