48 tagged data quality, measured the same way as everything else here.
Browse within: data-pm 17healthcare-data 17product-management 17data-engineering 9duckdb 7ETL 6dbt 6docker 5langgraph 5
Skill Claude CodeCodex
Use when the user wants to fact-check an article or verify factual claims in a document. Triggers on: "fact-check", "verify article", "check facts", "文章事实核查", "验证文章". Runs Dingo's ArticleFactChecker via SDK to extract and verify all factual claims with web search evidence.
Skill Claude CodeCodex
clawhub/SKILL.md.
Skill Claude CodeCodex
Dingo: A Comprehensive AI Data, Model and Application Quality Evaluation Tool.
limingrui679-design/high-stakes-analytics-decision-lab
Skill Claude CodeCodex
Build or review source-backed descriptive, diagnostic, predictive, and prescriptive analysis for consequential decisions. Use when an agent must profile and safely prepare uploaded data, turn a real dataset or research question into a reproducible study, investigate drivers without overstating causality, validate a…
Skill Claude CodeCodex
Use when analysts, finance teams, or operators need to clean financial datasets, check data quality, analyze revenue, margin, cash flow, customer value, anomalies, or trends, and produce traceable management-ready insights with confidence caveats.
Skill Claude CodeCodex
CSS and UI animation patterns for responsive, polished interfaces. Use when implementing hover effects, tooltips, button feedback, transitions, or fixing animation issues like flicker and shakiness.
Skill Claude CodeCodex
Static analysis and health checks for dbt projects. Use before committing SQL/YAML or when enforcing CI quality gates.
Skill Claude CodeCodex
Profiles CSV, JSON, JSONL, and Parquet files with dataprof to report schema, null rates, detected patterns, and data-quality scores. Use when inspecting an unfamiliar dataset, debugging data quality, comparing two dataset versions for drift, or preparing compact evidence for a data-cleaning or pipeline decision.
Skill Claude CodeCodex
Repository-specific review checklist for dataprof pull requests. Use when reviewing a diff in this repository, especially one touching an engine, a parser, a metric, type inference, or the quality score. Directs review effort at the defect class that actually ships here — a change that is correct where it was made and…
Skill Claude CodeCodex
Audit a dbt project for agent-readiness: what would an AI agent get wrong if you pointed it at this data today? Produces a prioritized report organized by failure modes (wrong numbers, wrong table, wrong column, can't join, query fails). Scales via two-pass architecture with parallel subagents. Each subagent reads its…
Skill Claude CodeCodex
Agentic data quality validation across warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres) with LLM diagnosis, root cause analysis, and audit trail.
hollandkevint/data-product-operator
Skill Claude CodeCodex
3 diagnostic questions for evaluating data product markets through the arbitrage gap lens. Identifies whether your data product sits on a durable or closing advantage. Use when assessing data product positioning, evaluating market risk, or when someone asks "is AI going to replace this?" or "what's our moat?".
hollandkevint/data-product-operator
Skill Claude CodeCodex
Convert dashboard requests into decision specifications. The missing layer between "build me a dashboard" and "help me decide." Use when receiving dashboard requests, reviewing analytics backlogs, prioritizing data team work, or when someone asks "what dashboard do you need?" Apply this BEFORE building anything.
hollandkevint/data-product-operator
Skill Claude CodeCodex
Automated data quality checks for pipelines. Testing pyramids, dbt test patterns, data contracts, circuit breakers, and monitoring. Use when implementing data quality checks, writing dbt tests, defining data contracts, setting up pipeline validation, building automated quality monitoring, or when someone asks "how do…
Skill Claude CodeCodex
This skill should be used when the user asks to "check if an API is fresh", "verify endpoint health", "is this data stale", "measure API latency", "check TLS certificate status", "validate data freshness", "is this endpoint alive", "run a freshness check", "probe this URL", or "check endpoint reliability". Also…
Skill Claude CodeCodex
After producing or editing any data analysis artifact (report, Excel file, summary table), write an andon verification spec and run it. Use whenever numbers are derived from data and are about to be presented as results.
Skill Claude CodeCodex
A data-validation and audit tool. It checks whether data ranges, types, formulas, and files meet expected quality standards.
Skill Claude CodeCodex
Use this skill when a source schema change has broken, or is about to break, a downstream transformation and the user wants a fix they can merge — not a summary. Triggers on: "a column was renamed, fix the dbt model", "this field is gone downstream", "schema drift", "our model still selects the old column", "generate…
Skill Claude CodeCodex
A data-quality repair process in which one role proposes database fixes and another independently checks them on a copy before changes are saved.
Skill Claude CodeCodex
Use this skill when the user runs open source DataHub (self-hosted, not Acryl Cloud) and wants to write quality signals, not just read them: raise or resolve incidents on a dataset, or register external assertions with pass/fail results so they appear in the Validations tab. Triggers on: "raise incident on OSS"…
Skill Claude CodeCodex
Run Operator ETL locally — MVP demo, pytest, FOIA graph pipeline, Streamlit dashboard. Use when proving the system works or demoing to reviewers.
Skill Claude CodeCodex
Deploy Operator ETL to GCP — Terraform, Docker, Cloud Build, Cloud Run, BigQuery. Use when lifting from local DuckDB MVP to staging/production infrastructure.
Skill Claude CodeCodex
Bootstrap and verify Operator ETL in one command — Python check, uv install, sync deps, full proof gate. Use on first clone, "does it work", setup, or before any other operator skill.