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Dora Metrics Reviewer
Benchmark your DevOps performance against DORA standards and generate a prioritized 90-day improvement roadmap.
$15
Works with the AI tools you already use
dora-metrics-reviewer
Example session with this skill installed
3-person startup. We deploy to production maybe 2–3 times per week. Lead time from branch to prod is about 3 days on average. Change failure rate is rough — maybe 25%? Things break in prod about 1 in 4 deploys. MTTR is around 3–4 hours.
- Read your context and instructions
- Compiled the dora-metrics-reviewer
- Generated the document
DORA METRICS REPORT
════════════════════════════════════════
Team: 3-person startup
Period: Current (self-reported estimate)
Overall Tier: MEDIUM
════════════════════════════════════════
METRIC BREAKDOWN
──────────────────────────────────────────────────────
Metric Current Tier vs. Elite
Deployment Frequency 2–3×/week HIGH Elite = multiple/day
Lead Time for Changes ~3 days HIGH Elite = < 1 hour
Change Failure Rate ~25% MEDIUM Elite = 0–15%
Mean Time to Restore 3–4 hours HIGH Elite = < 1 hour
──────────────────────────────────────────────────────
BOTTLENECK: Change Failure Rate — at 25%, roughly 1 in 4 deployments causes a
production incident. This is dragging the overall tier to MEDIUM and inflating MTTR.
Until failure rate drops, increasing deployment frequency will only multiply incidents.
IMPROVEMENT ROADMAP
──────────────────────────────────────────────────────
Priority 1: Change Failure Rate (MEDIUM → HIGH)
Current: ~25%
Target: < 15% (moves from MEDIUM to HIGH/Elite boundary)
[... abbreviated ...]
dora-metrics-reviewer.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
Measure and Accelerate Software Delivery Performance
The DORA Metrics Reviewer is a specialized diagnostic skill designed for engineering leads and DevOps practitioners. Based on the industry-standard DevOps Research and Assessment (DORA) framework, it transforms raw team data into a strategic 90-day execution plan.
What it does
This skill goes beyond simple calculation. It benchmarks your team across the four key metrics: Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Restore (MTTR). It identifies your delivery tier (Elite, High, Medium, or Low) based on the latest research and provides:
- Bottleneck Identification: Pinpoints the specific metric acting as a "binding constraint" on your team's velocity.
- Outlier Analysis: Explains how a single low-performing metric impacts your overall delivery stability.
- Actionable Roadmaps: Generates concrete, technical tasks—like implementing feature flags or trunk-based development—to move you to the next performance tier.
Why use this skill?
Prompting a generic AI for DevOps advice often leads to vague suggestions like "communicate better." This skill enforces high-leverage engineering practices and follows a strict hierarchical logic: for example, prioritizing Lead Time to unlock Deployment Frequency. The output follows a professional, standardized report format ready for stakeholder review.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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Click the path to copy it. Create the folder if it does not exist yet.
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