Analytics & Monitoring Agent Skills for Zed

Generate and open an interactive visualization of Buddy guard-mode reasoning data using Buddy's local CLI command.

Build a source-backed dashboard or monitoring view with clear metrics, filters, visual hierarchy, definitions, refresh context, and QA.

Build a production-ready prompt package — system prompt, few-shot examples, output format, edge case handling, eval criteria.

This skill empowers Claude to build AutoML pipelines using the automl-pipeline-builder plugin.

This skill enables Claude to construct and evaluate classification models using provided datasets or specifications.

Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights.

This skill should be used when the user wants to "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent…

Research and build evidence-backed causal strategy models and condition-aware policy paths for consequential decisions.

Sets up, audits, and reports on marketing measurement — tracking plans, event schemas, attribution models, and the dashboards built on them.

Reactive input for NVIDIA OO agents — Channel/QueueManager for queued and event-mode input, race() turn dispatch, spawn() background jobs…

Send chat completions, stream responses, and start an interactive REPL session from the CLI.

Inspect codebases w/ pygount: LOC, languages, ratios.

Optimizes web application performance through code splitting, lazy loading, caching strategies, and Core Web Vitals monitoring.

Competitor landscape — rival suppliers, awarded-value market share, head-to-head and concentration, from the UK Tenders MCP

Fires when a fellow is ready to design how the AI product is actually built — "architect the product", "how do we build the AI system"…

Create, revise and audit publication-grade pipeline, framework, teaser and module figures for CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, AAAI…

Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.

Run a dbt Fusion project with Astronomer Cosmos.

Investigate a Linux workstation crash or unexpected reboot.

Create a new built-in classification evaluator for Phoenix evals.

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models.