Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, Google Maps, Google Search, Google Trends, Booking.com, and TripAdvisor. Use for lead gener...
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。
673 件 ・ 関連度順
概要と使いどころ
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, Google Maps, Google Search, Google Trends, Booking.com, and TripAdvisor. Use for lead gener...
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。
Dashboard metric register: metric, source module, formula, period, value, target, trend, owner and last-updated, as CSV, SQL, JSON Schema or Notion on request. Use for KPI dashboards.
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 working with Coveralls — coveralls coverage tracking management. Covers coverage reporting, PR status checks, repository configuration, coverage history, and badge management. Use when managing Coveralls coverage reports, configuring coverage thresholds, debugging coverage uploads, or analyzing coverage trends.
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 working with Codeclimate — code Climate quality management. Covers maintainability analysis, test coverage tracking, issue detection, GPA scoring, and repository configuration. Use when managing Code Climate projects, reviewing maintainability ratings, tracking test coverage trends, or configuring analysis engines.
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 working with Codecov — codecov coverage tracking management. Covers coverage reporting, PR comments, flag management, component analysis, and coverage trend tracking. Use when managing Codecov configuration, analyzing coverage reports, debugging coverage uploads, or configuring coverage thresholds.
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 working with Codacy — codacy code quality management. Covers automated code reviews, pattern configuration, coverage tracking, security analysis, and repository settings. Use when managing Codacy projects, reviewing code patterns, configuring quality gates, or tracking code quality trends.
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 working with Blameless — blameless incident management, SLO tracking, retrospectives, and reliability insights. Covers incident lifecycle, blameless retrospective facilitation, follow-up tracking, reliability scorecards, and incident type categorization. Use when managing active incidents, conducting retrospectives, tracking SLO compliance, or analyzing reliability trends in Blameless.
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 working with Allure Testops — allure TestOps test management and analytics platform monitoring. Covers project dashboards, launch tracking, test case management, defect clustering, environment matrix analysis, and CI/CD integration review. Use when managing test cases in Allure TestOps, reviewing launch results, analyzing flaky tests, or tracking quality trends.
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 working with Apache Airflow Deep — apache Airflow deep management covering DAG inventory, task instance monitoring, scheduler health, executor status, pool and variable management, connection auditing, and SLA miss tracking. Use when investigating DAG failures, analyzing task duration trends, monitoring scheduler performance, or auditing Airflow configurations.
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 working with Azure Cost Management — azure Cost Management cost analysis, budget tracking, Advisor cost recommendations, export management, and spending trend analysis via Azure CLI.
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 working with Aws Billing — analyze, break down, and report AWS costs and bills. Covers cost breakdown by service, account, or usage type; monthly/daily billing trends; cost anomaly detection; RI/SP utilization; cost forecasting; credit/discount analysis; and multi-account cost comparison. Uses anti-hallucination rules, mandatory currency/credit detection workflow, and reusable Cost Explorer functions.
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 agentic commerce payments tasks. Candidate synthesized from trend radar; awaiting trial promotion.
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 enterprise agent deployment tasks. Candidate synthesized from trend radar; awaiting trial promotion.
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 health trend, anomaly, disk forecast
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 Developer 4 hours, 34 minutes ago For You Latest Trending Tech Updates: Week of Sep 14 4 updates Babylon.
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。
Choose typefaces based on voice and context, not trends. Use when selecting fonts for a project, evaluating type choices, or understanding what a typeface communicates before anyone reads a word.
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。
Tell the difference between design decisions that age well and decisions that follow the crowd. Use when evaluating whether a design choice is principled or fashionable, or when a client asks to 'make it look modern.'
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 the user wants to monitor competitor apps on an ongoing basis — tracking metadata changes, keyword shifts, screenshot updates, rating trends, or new features. Use when the user mentions "competitor monitoring", "track competitors", "competitor alert", "competitor changed their title", "watch a competitor app", "competitor weekly report", "competitive intelligence", or "what changed in competitor's listing". For a one-time deep competitive analysis, see competitor-analysis. For market-wide chart movements, see market-movers.
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 the user wants to analyze their own app's actual performance data from App Store Connect — real downloads, revenue, IAP, subscriptions, trials, or country breakdowns synced via Appeeky Connect. Use when the user asks about "my downloads", "my revenue", "how is my app performing", "ASC data", "sales and trends", "my subscription numbers", "App Store Connect metrics", or wants to compare periods or top markets. For third-party app estimates, see app-analytics. For subscription analytics depth, see monetization-strategy.
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 building or changing Skyline UI (apps/syn-ui, packages/syn-ui/*) from a design - "build this screen from the board", "implement the design", "match the canvas", "new board landed", "build the Eval trend panel", "port this screen to Skyline", "does this match the design", "update the Shipped table", "snapshot the boards". Covers reading a `*.dc.html` board and the Skyline spec, building from them, comparing 1440px and 390px screenshots against the board, and recording the shipped screen. Do NOT use for small tweaks to a screen that has already shipped (change the code directly, no board needed), for the frozen React app apps/syn-dashboard-ui (never edit it), or for refreshing the CI screenshot baselines alone (see design/README.md).
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。
Deep web research skill using Firecrawl MCP. Use when estimating market size (TAM/SAM/SOM), analyzing trends, or scraping competitors. For competitor teardowns, see competitor-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。
Multi-timeframe crypto technical analysis with scored trading signals, structured trade plans, and position sizing via Binance public API. Use when user asks to "analyze BTC", "what's the signal on ETH/USDT", "crypto analysis", "trade setup for SOL", "scan crypto pairs", "check the trend on BTC", "multi-timeframe analysis", "generate a trading signal", "what's the bias on ETH", "TA on BTC/USDT", "is it a good time to buy BTC", or "position size for a crypto trade".
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。
Busabase-backed App-in-Skill dashboard for a shared LLM gateway's cost and model governance — daily spend trend, cost breakdown by service/model, a canary-rollout status board, and a deterministic cost/error anomaly list. Use when the user invokes $kelly-llm-gateway or /kelly-llm-gateway, or wants to review LLM gateway spend, model routing, canary rollouts, rollback readiness, or cost/error anomalies for services routed through one shared gateway to multiple LLM providers/models. Human actions (promote/rollback/hold a rollout, acknowledge an anomaly) write directly onto the route's own Busabase record — this skill never changes a real routing config.
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。
Kelly Retail Intel: App-in-Skill daily industry intelligence cockpit for retail stores and consumer brands (Busabase App-in-Skill). Use when the user asks about retail, stores, promotions, merchandising, shopping trends, weather/event sales opportunities,零售, or门店 scenes. Prepares news/source signals, buyer-intent interpretation, approved sales actions, and channel drafts for review before any external handoff.
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。