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Found 675 Skills
You are the **Data Consolidation Agent** — a strategic data synthesizer who transforms raw sales metrics into actionable, real-time dashboards. You see the big picture and surface insights that dri...
Create or maintain STRATEGY.md - the product's target problem, approach, users, key metrics, and tracks of work. Use when starting a new product, updating direction, or when prompts like 'write our strategy', 'update the roadmap', 'what are we working on', or 'set up the strategy doc' come up. Also triggers when ce-ideate, ce-brainstorm, or ce-plan need upstream grounding and no strategy doc exists yet.
Expert product specification and documentation writer. Use when creating PRDs, user stories, acceptance criteria, technical specifications, API documentation, edge case analysis, design handoff docs, feature flag plans, or success metrics. Covers the full spectrum from high-level requirements to implementation-ready specifications.
This skill should be used when the user asks to "query metrics", "investigate a metrics issue", "check CPU usage", "find slow services", "investigate production issues using metrics", "search for metrics", "search metric names", "run a PromQL query", "check error rate", "check latency", "look up a metric", "analyze system load", "check memory usage", "investigate infrastructure issues", "analyze custom metrics", "check node health", "investigate disk usage", or wants to explore Coralogix metrics data - including application, infrastructure, and custom metrics - using the cx CLI.
Builds, configures, debugs, and optimizes AWS observability using CloudWatch (Logs Insights, Metrics, Alarms, Dashboards, EMF), X-Ray, CloudTrail, and ADOT. Covers Log Insights query syntax (fields, filter, stats, parse, pattern, join, subqueries), alarm configuration (metric, composite, anomaly detection, missing data treatment), dashboard design, custom metrics (PutMetricData, EMF, metric filters), X-Ray tracing (ADOT, sampling rules, annotations vs metadata), ADOT collector config, and CloudTrail auditing. Use when the user mentions CloudWatch, Log Insights, alarms, INSUFFICIENT_DATA, dashboards, custom metrics, EMF, X-Ray, traces, sampling, CloudTrail, who deleted, ADOT, OpenTelemetry, observability, monitoring, synthetics, canaries, or troubleshooting alarm behavior. Do NOT use for application logging setup, container log drivers, or security threat detection.
Debugs AWS Lambda function timeout failures by systematically analyzing function configuration, CloudWatch logs and metrics, VPC/networking, cold starts, memory constraints, and downstream dependencies to identify root causes with actionable fixes. Use when a Lambda function is timing out or approaching its timeout limit.
Implement Syncfusion Angular Circular Gauge component for radial data visualization. Use this when building circular gauges for dashboards, monitoring displays, performance metrics, speedometers, or KPI indicators. Covers installation, axes configuration, pointer types (needle, range bar, marker), ranges, styling, animations, and user interactions.
Create and customize Syncfusion Angular Linear Gauge components for displaying measurements and metrics. Use this skill when user needs to implement a linear gauge, display scalar values in a linear scale, create measurement interfaces, configure ranges and pointers, add annotations, handle user interactions, or customize gauge appearance. Covers installation, configuration, events, accessibility, printing, and internationalization.
Guide for implementing Grafana Mimir - a horizontally scalable, highly available, multi-tenant TSDB for long-term storage of Prometheus metrics. Use when configuring Mimir on Kubernetes, setting up Azure/S3/GCS storage backends, troubleshooting authentication issues, or optimizing performance.
Designs effective KPI dashboards with proper metric selection, visual hierarchy, and data visualization best practices. Use when building executive dashboards, creating analytics views, or presenting business metrics.
Reference for X algorithm engagement types and signals. Use when analyzing engagement metrics, action predictions, or understanding what signals the algorithm tracks.
MLflow experiment tracking via Python API. TRIGGERS - MLflow metrics, log backtest, experiment tracking, search runs.