Analytics & Monitoring Agent Skills for Codex CLI

Routes NeuralForecast time-series forecasting, data,

Use when packaging NeurIPS code, data, models, demos, benchmarks, or other research artifacts for anonymous review, reproducibility…

Use when drafting or triaging NeurIPS OpenReview author responses, rebuttals, and discussion-period replies under the current year's…

Use when deciding whether a paper belongs at NeurIPS, choosing main-track versus another NeurIPS track, selecting contribution type, or…

Use live BCI cognitive and mood state from NeuroSkill.

Configure New Relic observability platform for infrastructure and application

Diagnose OpenClaw Control UI browser and native Android, iOS, or macOS node connection failures across route, auth, pairing…

Resolve a conjecture that dream projected — confirmed or refuted, always with evidence.

NinjaOne device management: device details and updates, Windows service control, inventory, maintenance windows, reboot modes, and…

Implement AI-powered video generation capabilities using the z-ai-web-dev-sdk.

Use this skill when the user needs to query, analyze, automate, or operate Nonce mining resources: workspaces, farms, miners, agents, task…

Use when handling numerical, computational, or empirical content in a Journal of Economic Theory (JET) paper — JET is theory-first, so…

Use when designing or auditing the numerical-experiments part of a Mathematical Finance (Wiley) manuscript — at this theory-first venue…

Design and review production logs, metrics, traces, health signals, alerts, SLIs/SLOs, correlation, telemetry cost, and incident…

Use when the task is to design or assess production diagnosability and operator readiness through logs, metrics, traces, alerts…

Behavior-driven taste model built from real consumption signals.

Analyzes occupational health data to identify work-related risks and provides personalized ergonomic and wellness recommendations.

Audit ML benchmark generation and evaluation pipelines against official repositories.

Analyze Elixir/Phoenix performance — N+1 queries, assign bloat, ecto optimization, genserver bottlenecks.

Ollama

Expert guide for pushing metadata, lineage, and query logs to Monte Carlo from any data warehouse.