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概要と使いどころ
Optimize ElevenLabs conversational AI agents for real estate applications. Use when creating new agents, improving conversation quality, selecting voices, engineering system prompts, configuring agent parameters, or analyzing agent performance metrics. Includes voice selection, model tuning, prompt engineering, and A/B testing 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 and report agent invocation metrics including usage counts, success/failure rates, and completion times. Use for understanding which agents are utilized, identifying underused agents, and optimizing agent delegation patterns.
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。
Testing and benchmarking LLM agents including behavioral testing, capability assessment, reliability metrics, and production monitoring—where even top agents achieve less than 50% on real-world benchmarks Use when: agent testing, agent evaluation, benchmark agents, agent reliability, test agent.
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 a MotherDuck dashboard as a Dive, choosing the analytical story, metrics, and section queries.
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 branded entry point to ServiceGraph — use whenever the user explicitly names **ServiceGraph** — "use ServiceGraph to…", "what datasets does ServiceGraph have", "search ServiceGraph for…", "look this up in ServiceGraph", "pull contacts from ServiceGraph for these domains", "how many credits do I have on ServiceGraph". ServiceGraph is a multi-dataset platform of metrics-enriched business data for founders — where to launch, who to email, who to hire. This skill explains how to drive the API (api.servicegraph.co / mcp.servicegraph.co) against ANY dataset — discover what datasets exist, discover a dataset's schema and filters, search free brief rows, and unlock contact + metric detail with credits. Dataset-agnostic by design — it discovers everything through the API and never assumes which datasets or fields exist. When the user describes an intent WITHOUT naming ServiceGraph (e.g. "find a PR agency in NY"), defer to the matching specific skill (find-pr-agency, find-marketing-agency, find-law-firm, …); this skill is for explicit ServiceGraph requests and for datasets no specific skill covers yet. Skip non-US firms, consumer/personal services, and individual freelancers.
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。
Query and manage Datadog monitoring data — logs, metrics, monitors, dashboards, events, SLOs, traces, and incidents. Use this whenever the user wants to search logs, look at a metric, check which monitors are alerting, investigate a trace, pull SLO status, mute an alert, or ask "what's happening in Datadog" — even if they don't say "API". Also use it for any URL under *.datadoghq.com. Always start from this skill when interacting with this service — its bundled scripts and recipes are the fastest path.
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 generating weekly GTM performance reports, summarizing pipeline activity, reviewing outreach metrics, or creating executive updates. Triggers: 'weekly report', 'GTM report', 'pipeline review', 'weekly update', 'outreach summary', 'Friday report'.
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。
Fetches tweets from Twitter List, scores them using data metrics and AI analysis, and generates topic recommendation reports for content creators.
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。
Weekly engineering retrospective. Analyzes commit history, work patterns, and code quality metrics with persistent history and trend tracking. Team-aware: breaks down per-person contributions with praise and growth areas.
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。
Client-ready HTML presentation builder for Kai audit and report folders. Converts weekly audits, monthly audits, marketing reports, scorecards, findings, data-source notes, and action plans into a polished single-file HTML deck with sourced metrics, executive slides, speaker notes, and delivery-ready styling. Use when "HTML presentation", "HTML deck", "client-ready audit deck", "turn this audit into slides", "present the weekly audit", "present the monthly audit", or any request to deliver Kai reports as HTML slides.
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。
Analytics and attribution setup — tracking plan, UTM conventions, dashboard design, and attribution model selection. Use when "analytics setup", "attribution", "tracking plan", "UTM", "marketing analytics", "dashboard setup", "measurement strategy", "how do I track", "which metrics", or any request to set up or improve marketing measurement and attribution.
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。
Daily ad performance check-in across platforms. Pulls live metrics from Meta, Google, and LinkedIn via deterministic scripts, compares against benchmarks and previous period, flags overspend/underperformers/policy issues, and outputs a quick daily summary with action items. Use when "daily ad review", "how are my ads doing today", "ad check-in", "morning ad report", "daily ad summary", "check ad performance", "ad dashboard", "daily ads", or any request for a recurring or quick-glance ad performance review.
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。
Crypto Fundamental Analysis — evaluates project viability, team quality, technology, adoption metrics, and competitive moat with a composite Fundamental Score (0-100)
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。
On-Chain Analytics Agent — whale movements, exchange flows, active addresses, network growth, holder distribution, and transaction metrics with On-Chain Score (0-100)
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。
Head-to-Head Token Comparison — compares two tokens across market cap, tokenomics, on-chain activity, DeFi metrics, sentiment, technicals, and risk profile with a scored comparison table and overall recommendation
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。
Work with a running QDash instance through qdash-client and saved local profiles. Use when an agent needs to inspect chips, metrics, task results, calibration data, provenance, issues, flows, executions, project files, project-scoped QDash API data, or OpenAPI endpoints from QDash using qdash-client, ~/.config/qdash/config.ini, XDG_CONFIG_HOME/qdash/config.ini, QDASH_* environment variables, or a local oqtopus-team/qdash checkout.
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。
度量项目交付效能时使用。适用于团队效能分析、季度复盘、改进决策。优先使用 Google DORA 四大指标（部署频率、前置时间、失败率、恢复时间）。
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。
设计指标体系时使用。适用于北极星指标、AARRR 海盗模型、漏斗指标、GSM（Goals-Signals-Metrics）框架。帮助团队从业务目标出发，建立可量化、可追踪、可行动的指标体系。
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。
Customer discovery framework using Jobs-To-Be-Done theory — uncover the functional, social, and emotional jobs customers hire products to do. Produces JTBD canvases with job statements, outcome metrics, and competing solutions. Use alongside cm-brainstorm-idea for evidence-based product decisions.
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。
Diagnoses firing AWS CloudWatch alarms by querying CloudWatch Metrics, alarm history, and related AWS Config resource snapshots via the AWS SDK. Correlates metric anomalies with recent infrastructure changes to suggest root cause hypotheses. Outputs a structured incident summary with remediation options.
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。
Uses AWS CloudWatch SDK (boto3) to configure anomaly detection bands on metrics via PutAnomalyDetector API. Integrates with SNS for notifications and CloudWatch Synthetics for canary-based uptime monitoring.
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 CloudWatch Logs Insights queries and metric alarms using AWS SDK v3 (@aws-sdk/client-cloudwatch-logs, @aws-sdk/client-cloudwatch). Generates cross-account observability dashboards with CloudWatch Metrics Insights.
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。
Executes automated diagnostics using the AWS Systems Manager Automation API and SSM Documents. Collects system metrics via the CloudWatch GetMetricData API and correlates with AWS Health events.
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。
Apache Superset is a widely adopted open-source BI platform for SQL exploration, chart building, and dashboard delivery. This skill is useful when an agent needs to query warehouse data, assemble dashboards, or explain metrics using a mature analytics interface instead of ad hoc notebook code.
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。