Analytics & Monitoring Agent Skills

Access European Nucleotide Archive via API/FTP.

When the user wants to optimize energy supply chains, coordinate oil and gas logistics, or manage energy infrastructure.

Git-based engineering retrospective analyzing commits, PRs, and velocity over configurable windows with monorepo path scoping.

Comprehensive market overview using EODHD data — major indices, sector performance, Treasury yield curve, macro snapshot, and commodities.

Dispatch ATAC-seq, ChIP-seq, CUT&RUN, or CUT&Tag requests to assay-specific QC, alignment, signal-track, peak-calling, consensus, and…

Estimate market size using TAM, SAM, and SOM with top-down and bottom-up approaches.

Ring 3 evolution engine: analyze session observations, generate/improve evolved skills, show metrics dashboard.

Guides work on `packages/frontend/editor-ui` experiments. Use when creating, extending, wiring, testing, reviewing, or retiring editor-ui experiments, PostHog feature flags, experiment key indexes,…

Investigate AI observability evaluations — `hog` (deterministic code-based), `llm_judge` (LLM-prompt-based), and `sentiment` (user-message…

Debug and inspect LLM/AI agent traces using PostHog's MCP tools.

Explore PostHog MCP intent clusters — agent goals grouped by semantic similarity, with each cluster's tool distribution and error rates…

Investigate the quality of PostHog MCP tool calls — error rates, latency, reach, and which tools are failing or slow.

Starting point for exploring how a PostHog MCP server's tools are used — routes a broad question to the typed tool that answers it.

How to explore and make sense of PostHog Signals scouts — the scheduled agents that scan a project and write reports into the Signals inbox.

Export portfolio balances and transaction history to CSV or JSON files.

Locates, lists, filters, and extracts structured data from Claude Code native session logs.

Rewrite any prompt so it performs at its best on Claude Fable 5 (and Mythos 5).

Execute create, select, and transform features to improve machine learning

Show federation health — peers, sessions, trust levels, and message metrics.

Feedback synthesis — cluster support tickets, NPS verbatims, app store reviews, and churn surveys by theme, separate signal from noise…

Fetch detailed information about a Component Readiness regression from the Sippy API