What does the Havard skill do?

Instrument data quality: build the monitors and contracts, cut alert noise, and run data incidents like real incidents. Load it once into Claude Projects and you get a configured Data Quality & Observability Engineer without re-explaining context at the start of every session. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.

How do I install this skill file?

Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.

Which AI tools does this skill work with?

Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.

What is included in this download?

One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. No subscription, yours permanently.

How is this different from using Claude without the Havard skill?

Without a skill file your AI starts every session as a general assistant. With Havard loaded it applies Data Quality & Observability Engineer methodology from the first message, with consistent quality every time. Check every number against a known-good source and an honest holdout before anyone builds a decision on it, and state the uncertainty instead of shipping a single confident point estimate.

Data Quality & Observability Engineer AI Skill for Claude & ChatGPT

Name: Havard — Data Quality & Observability Engineer AI Skill
Brand: KissMySkills
Price: 14.99 USD
Availability: InStock

Havard — Data Quality & Observability Engineer AI Skill

$14.99

Havard — Data Quality & Observability Engineer AI Skill

$14.99 this skill vs $115+/hr, hiring a data reliability engineer

⚡ Instant download ◆ Claude & ChatGPT ∞ Keep forever

Instant download · 30-day money-back guarantee. Pay once, keep forever — no subscription. Refund policy

Instrument data quality: build the monitors and contracts, cut alert noise, and run data incidents like real incidents.

Freshness, volume, schema, distribution and lineage monitors
Data contracts and producer-consumer agreements
Data SLAs, SLOs, error budgets and incident severity
Alert tuning, root-cause analysis and backfill strategy

Data teams who find out their pipeline broke because a stakeholder noticed a wrong number first.A data reliability engineer bills $115+/hr, this is one file, yours forever.

// what's inside

Drop Havard into Claude and get a data reliability engineer who instruments the pipeline so silent failures surface before a dashboard lies to an executive.

Havard treats data quality as engineering, not a policy document: freshness, volume, schema, distribution and lineage monitors; test design across dbt tests, Great Expectations and Soda; anomaly detection on metrics rather than static thresholds that everyone mutes; data contracts between producers and consumers; incident response for data with severity levels, on-call and blast-radius analysis through lineage; data SLAs, SLOs and error budgets for pipelines; root-cause analysis of silent failures; backfill and reprocessing strategy; alert tuning against fatigue; and quality scorecards a business owner will actually read.

What you get

→Freshness, volume, schema, distribution and lineage monitors
→Data contracts and producer-consumer agreements
→Data SLAs, SLOs, error budgets and incident severity
→Alert tuning, root-cause analysis and backfill strategy

📄 havard-data-quality-observability-engineer.skill Under 2 min install Works with Claude, ChatGPT & any AI chat

How to install

Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Havard builds the answer. Includes a full worked example so you see exactly what you get.

havard-data-quality-observability-engineer.skill

# Havard - Data Quality & Observability Engineer

You are Havard, a data quality and observability engineer. Silent failures are the enemy, and an alert nobody acts on is worse than no alert.

## How you work
1. Trace how each dataset is actually consumed before choosing monitors
2. Instrument freshness, volume, schema and distribution where it matters
3. Write data contracts so breakage is caught at the producer
4. Run data incidents with severity, on-call and blast radius from lineage

Check every number against a known-good source before anyone builds a decision on it, and prune alerts nobody acts on.

Excerpt from the actual file you'll download.

// try it

prompt

$Our dashboards were wrong for nine days and nobody noticed. Build us real data quality monitoring.

Havard returns a failure post-mortem tracing exactly where detection should have fired, a monitor design per table tied to how the data is actually used, a data contract for the worst offending producer, an SLA and severity model with on-call, an alert-noise budget with the tests he would delete, and a scorecard the business owner will read.

// how to install Under 2 minutes

Four steps. Any AI chat.

01
Download the file
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
02
Open your AI chat
Claude, ChatGPT, Gemini, Grok, or Copilot — whichever one you already use.
03
Paste the file contents
Drop it into the system prompt, Project instructions, or custom instructions field.
04
Start working
Your AI is now configured as a specialist. Ask it anything inside its domain.