Manage device adoption and onboarding, maintain device inventory, and monitor device configurations across your UniFi network infrastructure.
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →Manage device adoption and onboarding, maintain device inventory, and monitor device configurations across your UniFi network infrastructure.
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Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pattern, summary vs time-series output, and common aggregation functions. For percentile metrics (tdigest), see analyzing-tdigest-metrics skill.
Validate alignment quality with insert size distribution, proper pairing rates, GC bias, strand balance, and other post-alignment metrics. Use when verifying alignment data quality before variant calling or quantification.
Define analytics tracking plan for features and initiatives
Start Android screen mirroring using scrcpy. Displays device screen in real-time on Mac with optional console logs. Use when viewing Android screen, mirroring device, or monitoring app with logs.
Quality control metrics for ATAC-seq data including fragment size distribution, TSS enrichment, FRiP, and library complexity. Use when assessing ATAC-seq library quality before or after peak calling to identify problematic samples.
Run and monitor existing jobs, import/export site archives (IMPEX). Use when executing batch jobs, importing site data, running search indexing, checking job status, or viewing job logs. For creating new job code, use b2c-custom-job-steps instead.
Design reliable background job processing with retries and monitoring.
Agent logs, reasoning, and token tracking. Use when logging interactions, saving reasoning, tracking tokens, or managing events.
Unified error handling, batching, and logging for CFN Loop. Use when you need to capture agent errors, batch multiple errors for processing, log structured error data, or categorize and recover from agent failures.
Activate when users need help setting up cloud security monitoring for AWS, Azure, or GCP, including adapter configuration, detection rules, and threat response.
Run Codex tasks via the ai_cli Task Tool runner.
Measure and report code complexity metrics with actionable recommendations.
context-monitor
Alice's couch-to-5K morning routine with training context and recovery protocols.
Manage AI training data, monitor content freshness, detect repetition, and update training samples for continuous learning. Use when managing training data, checking content quality, updating AI models, or preventing repetitive content.
Use when investigating inbox placement, reputation, and compliance signals
Detect empty catch blocks and exception swallowing anti-patterns. Finds catch blocks that silently ignore errors without logging or rethrowing. Works across all languages. Use when user asks about error handling issues.
Monitor blood glucose via Dexcom G7/G6 CGM
Monitor environmental conditions on construction sites. Track air quality, noise levels, vibration, dust, and weather to ensure compliance and worker safety.
Find and fix unsafe error handling in Leavn - try! force unwraps, empty catch blocks, silent try? failures
Run python examples in auto mode with logging, rerun helpers, and background control.
Analyze control flow, concurrency models, and event architectures in agent frameworks. Use when (1) understanding async vs sync execution patterns, (2) classifying execution topology (DAG/FSM/Linear), (3) mapping event emission and observability hooks, (4) evaluating scalability characteristics, or (5) comparing execution models across frameworks.
Integrate Trackio for experiment tracking in Kaggle competitions. Use PROACTIVELY when user trains models, logs metrics, or manages experiments. Keywords: 実験, 訓練, train, training, tracking, metrics, 指標, ログ
ML operations: fine-tuning (LoRA, QLoRA), model evaluation, cost optimization, observability.
监视文件和目录变化，支持事件回调和过滤。
Deep investigation to find actual root cause (not just symptoms)
Query Fitbit health data including sleep, heart rate, activity, SpO2, and breathing rate. Use when user asks about their fitness, sleep quality, steps, or health metrics.
fix-observability
Grasp planning and execution for robotic manipulation tasks
Growth Analyst Agent. 성장 지표 분석, 코호트 분석, 퍼널 분석을 담당합니다.
Audit infrastructure status, health, and compliance without modifications - provides observability and drift detection
This skill installs a complete Claude Code skill tracking system using hooks to automatically log skill usage, execution duration, token usage, and user prompts for later analysis. Use this skill when setting up activity tracking in a Claude Code project to identify patterns, monitor costs, and discover opportunities for new skills.
Expert-level Istio service mesh management, traffic control, security, and observability for Kubernetes
Task management via CLI for agent loops. Balls are tasks with acceptance criteria; sessions group related balls. Use when working on a project with a .juggle/ directory, when user mentions juggle/balls/sessions, when planning tasks before agent loops, or when updating task state and logging progress during execution.
**Role**: LLM Observability Architect
Use this skill when conducting competitor analysis, sentiment monitoring, or user research for Leavn.
Track and manage construction lien waivers. Monitor conditional and unconditional waivers, ensure compliance before payments, and prevent lien exposure.
LinkedIn Content-Erstellung, Engagement und Monitoring für B2B/Manufacturing. Regionale Anpassung (US/EU/Asien), Artikel mit Teasern, Bildgenerierung via Gemini, Kommentar-Monitoring.
Expert-level Linkerd service mesh management, traffic control, reliability, and production operations
log-observability-issues
日志最佳实践，强调宽事件（canonical log lines），便于调试与分析。
Identify EMERGING trends by connecting dots across unrelated sources. Monitor niche communities, academic research, GitHub, patents, funding, regulatory changes. Predict what will trend in 3-6 months based on weak signals.
Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Use when user needs competitive intelligence, competitor analysis, market positioning insights, or strategic leverage opportunities.
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Assess risk metrics for a stock or position including volatility, beta, VaR, and drawdown analysis. Use when user asks about risk, volatility, beta, VaR, value at risk, drawdown, or position sizing.