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Data Quality Frameworks · dokhacgiakhoa | DecimalAI

databy dokhacgiakhoa

Data Quality Frameworks

dokhacgiakhoa/data-quality-frameworks

Source dokhacgiakhoa/agent-skills-4-vibe-coding-cli ↗License NOASSERTION

Implement data quality validation with Great Expectations, dbt tests, and data contracts.

SkillScore73Maintained

Automatic

Data Engineer pack

Last verified 8/29/2026

What it changes

Passed 16 of 22 test cases with the skill, and 12 of 22 without it.

Without skill55%

With skill73%

Checks it passed that the model alone missed

Recommends specifying owner metadata in dbt schema.yml model definitions using the meta: key.
Recommends configuring Checkpoint action_list properties to generate static Data Docs HTML reports in cloud storage.
Recommends using declarative contract schemas like datacontract.yaml to validate upstream migrations before execution.

and 2 more in the full report

5 fixed11 passed either way5 still failing1 broke

Pass-rate lift: +18 pp
Tokens: +8%
Agent turns: 0%
Response time: -2%

Model gemini-3.6-flashMeasured 8/29/2026v116 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/dokhacgiakhoa-data-quality-frameworks/SKILL.md https://app.decimal.ai/s/dokhacgiakhoa-data-quality-frameworks/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add dokhacgiakhoa-data-quality-frameworks, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/dokhacgiakhoa-data-quality-frameworks/ and pins it in .decimal/skills.lock

decimalai skills add dokhacgiakhoa-data-quality-frameworks

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/dokhacgiakhoa-data-quality-frameworks/SKILL.md https://app.decimal.ai/s/dokhacgiakhoa-data-quality-frameworks/SKILL.md

Raw file: /s/dokhacgiakhoa-data-quality-frameworks/SKILL.md ↗ · machine-readable summary at /s/dokhacgiakhoa-data-quality-frameworks.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 5

Prompt

When setting up automated schema contract validation between microservice PostgreSQL databases and Snowflake data warehouses, should schema enforcement be placed exclusively inside downstream warehouse dbt transformations?

What was checked, without and with the skill
Checked	Without skill	With skill
Recommends enforcing schema contracts at the upstream producer boundary or upstream CI/CD pipeline rather than downstream in warehouse models.	Passed	Passed
Recommends using declarative contract schemas like datacontract.yaml to validate upstream migrations before execution.	Missed	Passed

case-12 · gemini-3.6-flash · 8/29/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md40 linessingle file

Data Quality Frameworks

Production patterns for implementing data quality with Great Expectations, dbt tests, and data contracts to ensure reliable data pipelines.

Use this skill when

Implementing data quality checks in pipelines
Setting up Great Expectations validation
Building comprehensive dbt test suites
Establishing data contracts between teams
Monitoring data quality metrics
Automating data validation in CI/CD

Do not use this skill when

The data sources are undefined or unavailable
You cannot modify validation rules or schemas
The task is unrelated to data quality or contracts

Instructions

Identify critical datasets and quality dimensions.
Define expectations/tests and contract rules.
Automate validation in CI/CD and schedule checks.
Set alerting, ownership, and remediation steps.
If detailed patterns are required, open resources/implementation-playbook.md.

Safety

Avoid blocking critical pipelines without a fallback plan.
Handle sensitive data securely in validation outputs.

Resources

resources/implementation-playbook.md for detailed frameworks, templates, and examples.

🧠 Knowledge Modules (Fractal Skills)

1. implementation-playbook

Track record

Benchmark

16 / 22

test cases passed, vs 12 / 22 without

Adoption

Users: 2
Times used: 33

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/10/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

dokhacgiakhoa / agent-skills-4-vibe-coding-cli

.agent/skills/data-quality-frameworks/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 8/10/2026Version v1

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More skills from the same source and nearby in the registry, with their headline benchmark lift.

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See it in action

What's inside

Data Quality Frameworks

Use this skill when

Do not use this skill when

Instructions

Safety

Resources

🧠 Knowledge Modules (Fractal Skills)

1. implementation-playbook

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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