Designs and builds Axiom dashboards via API. Covers chart types, APL and metrics/MPL query patterns, SmartFilters, layout, and configuration options. Use when creating dashboards, migrating from Splunk, or configuring chart options.
Set up monitoring, logging, and observability for applications and infrastructure. Use when implementing health checks, metrics collection, log aggregation, or alerting systems. Handles Prometheus, Grafana, ELK Stack, Datadog, and monitoring best practices.
Guidance for TimeProvider abstraction for testable time-dependent code. USE FOR: making time-dependent code testable, replacing DateTime.UtcNow and DateTimeOffset.UtcNow with injectable abstractions, controlling time in unit tests with FakeTimeProvider, testing expiration logic, scheduling, token lifetimes, and time-based business rules. DO NOT USE FOR: high-precision timing or benchmarking (use Stopwatch), NTP synchronization, or scenarios running on .NET versions prior to .NET 8.
Use ThemedTimePicker or ThemedTimeRangePicker in a layrz Flutter widget. Apply when adding a time-of-day selection field.
Query Flatline protocol knowledge base via NotebookLM integration
MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, tool calling, LoRA fine-tuning, and embeddings.
Installation and setup guide for Tesla vehicle control and telemetry via the tescmd node.
Query metrics via Prometheus API. Run PromQL queries and manage alerts.
Generate monitoring and alerting configuration. Use when setting up observability.
Generate monitoring and alerting configs for Prometheus and Grafana. Use when setting up observability.
Launch tokens on Streme (streme.fun) - the streaming token platform on Base. Use when deploying SuperTokens with built-in staking rewards, Uniswap V3 liquidity, and optional vesting vaults. Triggers on "launch token on streme", "deploy streme token", "create supertoken", or any Streme token deployment task.
Set up Railway CLI rules for this project by creating a symlink into .claude/rules/.
Set up SQLAlchemy async + Alembic rules for this project by creating a symlink into .claude/rules/.
AutoResearchClaw 23 阶段自主研究管线的中文技能。自动设置、交互式配置、执行监控和故障诊断。当用户提到 ResearchClaw、自主研究、论文生成、研究管线时使用。
AutoResearchClaw 23 阶段自主研究管线的中文技能。自动设置、交互式配置、执行监控和故障诊断。当用户提到 ResearchClaw、自主研究、论文生成、研究管线时使用。
Activate for: metrics, KPI, operational metrics, performance metrics, operational dashboard, performance measurement, operations reporting, monthly report operations, operations scorecard, leading indicator, lagging indicator, red amber green, RAG status, operational performance, KRI, key risk indicator, SLA metrics, efficiency metrics, throughput, cycle time, error rate, cost per transaction, operational excellence, metrics framework, dashboard design, metric definition. NOT for: generating status reports (use official /status-report), vendor performance scoring (use official /vendor-review), risk register building (use official risk-assessment auto-skill).
Set up Prometheus for comprehensive metric collection, storage, and monitoring of infrastructure and applications. Use when implementing metrics collection, setting up monitoring infrastructure, or configuring alerting systems.
Generates new Ralph hat collection presets through guided conversation. Asks clarifying questions, validates against schema constraints, and outputs production-ready YAML files.
