run-my-ops-review

Aggregate recent skill outputs into an operational review with next-move recommendations.

2|Updated May 8, 2026
One-click install
npx skills add https://github.com/akiotanaka847/qaio-desktop --skill run-my-ops-review
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: run-my-ops-review
Source: https://github.com/akiotanaka847/qaio-desktop/tree/main/store/agents/operations/.agents/skills/run-my-ops-review
Command: npx skills add https://github.com/akiotanaka847/qaio-desktop --skill run-my-ops-review

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill turns scattered weekly operational activity into a single, evidence-based ops review by aggregating outputs across skills, reconciling them with active priorities and renewals, and surfacing gaps and the one most impactful next move.

Core Features & Use Cases

  • Weekly aggregation across your whole ops surface: Rolls up what shipped and what moved in the last 7 days by scanning every skill output, then evaluates it against your active priorities to produce an on-track, at-risk, or off-track verdict per priority.
  • Metrics week-over-week rollup: Computes week-over-week changes for every tracked metric, classifies trend direction (improved/stable/degraded), highlights anomalies, and ranks movers by biggest movement first.
  • Deadline and gap surfacing: Flags renewals due in the next 30 days and identifies items that appear stale (started but not touched for 3+ weeks).
  • Evidence-first decision support: Only claims progress that is evidenced in outputs.json, and avoids inventing metric movement when data is missing.

Quick Start

Ask to run the ops review for this Monday by setting period=weekly, and be ready to provide your 2 to 3 active priorities if they are not already in your operations context.

Frequently Asked Questions about run-my-ops-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate a weekly ops review that aggregates metrics and tracks anomalies?

To automate a weekly ops review, this skill aggregates the last 7 days of operational outputs, computes week-over-week metric deltas, classifies trends, and ranks anomalies. It reconciles these metrics against active priorities to recommend a single next move.

What is the best way to roll up week-over-week metrics and identify anomalies for a Monday review?

The best way to roll up week-over-week metrics is using the alternative metrics-rollup mode. It calculates metric deltas from daily snapshots, classifies trend directions as improved, stable, or degraded, and highlights ranked anomalies for your review.

Do I need specific context files to run an automated ops review and priority tracking?

Yes, running an automated ops review requires reading context-ledger.json and operations-context.md. You also need config/metrics.json, metrics-daily.json snapshots, and outputs.json to track priorities and surface operational gaps.

How does an automated ops review handle missing metrics or incomplete operational data?

An automated ops review handles missing data by avoiding invented metric movements. It only claims progress that is explicitly evidenced in outputs.json, ensuring evidence-first decision support even when data is incomplete.

Can I track upcoming renewals and stale operational items using a weekly metrics rollup?

Yes, you can track renewals and stale items during a weekly metrics rollup. The review flags renewals due within 30 days and identifies items that remain untouched for 3 or more weeks as stale gaps.