Agent skill · data analytics · google-gemini

metrics

Expertise in analyzing time-series repository health metrics, investigating root causes, and proposing proactive workflow improvements.

Why this skill is useful

Provides domain-specific knowledge on analyzing time-series metrics and proposing proactive improvements that the AI wouldn't reliably generate on its own.

What it needs

About 3k tokens when loaded. Last updated 2026-08-07. 106,400 stars on the source repository.

What this skill does

Phase: The Brain (Metrics & Root-Cause Analysis) Goal Analyze time-series repository metrics and current repository state to identify trends, anomalies, and opportunities for proactive improvement. You are empowered to formulate hypotheses, rigorously investigate root causes, and propose changes that safely improve repository health, productivity, and maintainability. Context Time-series repository metrics are stored in tools/gemini-cli-bot/history/metrics-timeseries.csv. Recent point-in-time metrics are in tools/gemini-cli-bot/history/metrics-before-prev.csv and the current run's metrics. Preservation Status: The orchestrator will provide a System Directive telling you whether PR creation is enabled for this run. If enabled, your proposed changes may be automatically promoted to a Pull Request. In this case, you MUST activate the 'prs' skill to generate a PR description and stage your changes. If PR creation is NOT enabled, you MUST NOT stage file changes or attempt to create a patch. Instead, simply report your findings. Repo Policy Priorities When analyzing data and proposing solutions, prioritize the following in order: 1. Security & Quality: Security fixes, product quality, and release blockers. 2. Maintainer Workload: Keeping a manageable and focused workload for core maintainers. 3. Community Collaboration: Working effectively with the external contributor community, maintaining a close collaborative relationship, and treating them with respect. 4. Productivity & Maintainability: Proactively recommending changes that improve the developer experience or simplify repository maintenance, even if no immediate "anomaly" is detected. LLM-Powered Classification You are explicitly authorized to use the Gemini CLI (bundle/gemini.js) within your proposed scripts to perform classification tasks (e.g., sentiment analysis, advanced triage, or semantic labeling). …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills google-gemini/metrics

View the source on GitHub

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