Analytics & Monitoring Agent Skills

Use when mapping code paths, entrypoints, and likely hot files before profiling.

Use when profiling CPU/memory hot paths, generating flame graphs, or capturing JFR/perf evidence.

Use when generating performance hypotheses backed by git history and code evidence.

Designs multi-agent systems with coordinated agent swarms, task distribution, inter-agent communication, and emergent collective behavior.

Capture browser console logs and dev server output to files with agent-tail.

Diagnoses AI agent execution traces, tool logs, and failure cascades to pinpoint root causes with visual Mermaid flowcharts and evidence…

Show the current state of a run — stages, roles, write locks, and gates.

Cost optimization patterns for LLM API usage — model routing by task complexity, budget tracking, retry logic, and prompt caching.

When to activate: AI agents, LLM agents, ReAct, LangChain agents, tool use, memory, multi-agent, CrewAI, AutoGen, agent orchestration

Conduct a structured ethical review of an AI or ML feature, model, or product.

Design and implement an AI feature integration — model selection, architecture pattern, system prompt, data flow, error handling, cost…

Use before adding any AI feature to a BRICKS app — chat, Q&A, voice interface, transcription, semantic search / RAG, or AI-generated media.

Evaluates AI-generated images and text-to-image models across standard benchmarks, alignment metrics, and visual quality scores.

Use this skill when a browser/Web app (React, Vue, Angular, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI) needs AI models via…

Transfers dance and motion sequences to generated AI characters or replaces video subjects using LightX2V animate workflows.

Identifies root causes and prioritizes solutions through a multi-dimensional analysis of technology, processes, people, and business.

Structure AI and ML product decisions with the rigour of any product decision.

Rigor Explore compatible skill slug for meaningful and potentially novel deep learning research candidates.

Extracts work summaries, token metrics, and modified file paths from local AI coding logs to accurately attribute activity across projects.

Poll AI-Trader heartbeat and notifications reliably through the primary pull-based mechanism.

Attach to a running agent loop's live output stream