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概要と使いどころ
Internal implementation skill invoked by /add-native for native background GPS tracking with durable storage and Dataverse sync using @microsoft/power-apps-native-bglocation.
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。
Public entry point for native device capabilities and native controls — camera, image picker, barcode/QR scanner, document picker, file picker, secure storage, file system, sharing, haptic feedback, PDF generation/viewing, pen/signature capture, background GPS/geolocation tracking, or supported local file workflows — in a Power Apps mobile app. Also owns routing to internal camera/PDF/pen/geolocation implementation helpers and the guidance boundary between native wrappers and Dataverse File/Image host controls.
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。
Diagnose organic traffic changes (drops, stalls, or unexpected wins) using Ahrefs MCP plus Search Console data. Use this skill when traffic suddenly dropped, has been flat despite investment, after an algorithm update, after a migration or deploy, or when a competitor seems to be taking share. Triggers on traffic dropped, traffic decline, traffic stalled, organic decline, lost rankings, why is traffic down, algorithm update, post-migration traffic loss, traffic diagnosis. Also triggers when stakeholders are panicking about an organic traffic number they cannot explain. A panic about tracking, event, or dashboard setup is a measurement problem, not a traffic problem: route those to `analytics-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。
How to actually instrument product analytics correctly. Event taxonomy, property design, naming conventions, schema versioning, identity stitching, funnel design, retention cohorts, North Star metric selection, dashboard hygiene, instrumentation debt, and the failure modes that produce data nobody trusts. Triggers on product analytics setup, event taxonomy, tracking plan, instrumentation, schema versioning, North Star metric, retention cohorts, funnel design, naming conventions, instrument new feature, audit existing analytics, dashboard reconciliation, instrumentation debt, Mixpanel setup, Amplitude setup, PostHog setup, warehouse-native analytics. Also triggers when the team has data but cannot trust it, or when designing instrumentation for a new feature, or when auditing an existing setup that has drifted.
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。
Design and run a monitoring system for a website or web app. Use this skill when setting up uptime checks, defining SLOs, configuring error tracking, choosing what to alert on, designing on-call rotations, or fixing alert fatigue. Triggers on monitoring, alerts, uptime, SLO, SLA, error rate, on-call, pager, alert fatigue, observability, dashboards, what should we monitor. Also triggers when an incident reveals a gap in 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。
Designing in-product tours, tooltips, and contextual help that teach product capabilities without becoming friction. Trigger logic, tour architecture, contextual placement, completion tracking. Honest about tooltip-spam (visual noise that users develop blindness to), one-and-done (help invisible at the moment of need), and contextual-when-needed (surfaces help at the moment friction occurs) patterns. Triggers on product tour, in-product tooltip, contextual help, walkthrough, feature tour, hint system, in-app guidance, tour platform. Also triggers when feature adoption is low, when users miss key product capabilities, or when an in-product help system is being scoped for the first time.
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。
Biological data management and lineage tracking with LaminDB
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。
Hedge fund performance tracking and strategy 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。
Builds real-time communication systems with WebSockets or Socket.IO including bidirectional messaging, horizontal scaling with Redis, presence tracking, and room management.
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。
Infrastructure-first security audit across 14 phases: attack surface mapping, secrets archaeology (git history), supply chain analysis, CI/CD pipeline security, LLM/AI threat detection, OWASP Top 10, STRIDE threat modeling. Confidence gates, exploit scenarios, parallel verification, trend tracking. Read-only.
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。
Performance regression detection. Captures TTFB, FCP, LCP, bundle sizes, request counts. Regression thresholds: timing >50% or >500ms. Baseline comparison, trend tracking, budget compliance scorecard.
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。
Designs production-grade ML pipeline infrastructure with experiment tracking, Kubeflow/Airflow DAGs, feature store schemas, model registries, and automated retraining 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。
Milestone progress tracking and 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。
Sprint creation and tracking
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。
Technical debt tracking and prioritization
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。
Integrates with Atlassian products to manage project tracking and documentation via MCP protocol, including Jira issue management, Confluence page editing, sprint and backlog management.
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。
Program management for multi-project coordination, portfolio governance, dependency tracking, benefits realization, charters, and steering-committee reporting. Use to stand up or run a program and escalate program status.
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 budgeting and funding operations — study budget construction, cost per participant and per insight, burn against milestones, and portfolio prioritisation by decision value. Use when costing, tracking, or ranking 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。
Expert delivery management for release planning, deployment strategy, incident response, change management, SLA/error-budget tracking, and DORA metrics across continuous delivery pipelines.
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。
CAPA system management for medical device QMS, covering root cause analysis, corrective action planning, and effectiveness verification. Use for CAPA investigations, 5-Why and fishbone analysis, and corrective action tracking.
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。
Social media campaign analysis and performance tracking that calculates engagement rates, ROI, and cross-platform benchmarks. Use for analyzing social performance, calculating engagement rate, or measuring campaign ROI.
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。
Turn reflection into decisions by scoring predictions against outcomes and tracking whether commitments held. Use when running a quarterly review, scoring forecast calibration, or reflection keeps producing notes instead of change.
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 codebases for technical debt with AST parsing, prioritize by impact, and generate trend dashboards. Use when tracking tech debt, prioritizing refactoring, calculating cost-of- delay, planning sprint debt, or reporting debt to execs.
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。
App Store Optimization toolkit for researching keywords, optimizing metadata, and tracking mobile app performance on Apple App Store and Google Play Store.
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。