Analytics & Monitoring Agent Skills

When to activate: Rust tracing, logging, metrics, spans, instruments, OpenTelemetry, tracing-subscriber, prometheus, structured logging

Run health checks on Claude Code configuration and sessions.

Analyzes raw SaaS financial data to calculate key unit economics, benchmark performance against industry standards, and deliver actionable…

Train sparse autoencoders to interpret model features.

Use when the user asks to design a multi-agent system, pick an orchestration pattern (supervisor/swarm/pipeline), generate tool schemas…

Design production-grade multi-agent workflows with clear pattern choice (sequential, parallel, hierarchical), handoff contracts, failure…

Set up, audit, and debug analytics tracking implementation — GA4, Google Tag Manager, event taxonomy, conversion tracking, and data quality.

Use when reviewing or rebalancing direct vs. partner-led channel economics — computing fully-loaded cost-to-serve per channel, channel ROI…

Chief Data Officer advisory for startups: AI training data rights and consent provenance, data product strategy (warehouse vs lakehouse vs…

Use when building a quarterly bookings forecast, ARR projection, pipeline forecast, NRR projection, or commit/best-case/pipe-only board…

Revenue leadership for B2B SaaS companies.

Router/index for the 2 finance skills bundled in this plugin: financial-analyst (ratio analysis, DCF valuation, budget variance, rolling…

Performs financial ratio analysis, DCF valuation, budget variance analysis, and rolling forecast construction for strategic decision-making.

Use proactively whenever LLM API costs come up -- or should.

Use when doing upstream market-research methodology — sizing a market as TAM/SAM/SOM computed BOTH top-down and bottoms-up (never a single…

Design production-ready observability strategies combining metrics, logs, and traces.

Cross-functional organizational health check combining signals from all C-suite roles.

Systematic performance profiling for Node.js, Python, and Go applications.

Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends…

Audit datasets for completeness, consistency, accuracy, and validity.

Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics…