{"id":"856bb476-9604-48d7-9e7e-5bdb2835164c","shortId":"xYtqgF","kind":"skill","title":"Great Expectations Data Validation Pipeline","tagline":"Validate data quality using the Great Expectations Python library. Define expectations as unit tests for your data, run validation suites, and generate human-readable data quality reports.","description":"# Great Expectations Data Validation Pipeline\n\nValidate data quality using the Great Expectations Python library. Define expectations as unit tests for your data, run validation suites, and generate human-readable data quality reports.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- pip install great_expectations\n\nRequirements and caveats from upstream:\n- [![Python Versions](https://img.shields.io/pypi/pyversions/great_expectations.svg)](https://pypi.python.org/pypi/great_expectations)\n- GX Core supports Python 3.10 through 3.13.\n- Experimental support for Python 3.14 and later can be enabled by setting a GX_PYTHON_EXPERIMENTAL environment variable when installing great_expectations.\n\nBasic usage or getting-started notes:\n- GX recommends deploying GX Core within a virtual environment. 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'qualiti':8,32,41,65 'raw.githubusercontent.com':179 'raw.githubusercontent.com/great-expectations/great_expectations/head/readme.md':178 'readabl':30,63 'recommend':130 'report':33,66 'requir':83 'run':23,56,155 'see':147 'set':111 'setup':73 'skill':183 'skill-great-expectations-data-validation-pipeline' 'sourc':170,181 'source-agentskillexchange' 'start':127,143 'suit':25,58 'support':95,101 'test':19,52 'topic-agent-skills' 'topic-ai-agents' 'topic-ai-tools' 'topic-awesome-list' 'topic-claude-code' 'topic-codex' 'topic-cursor' 'topic-llm' 'topic-mcp' 'topic-npx-skills' 'topic-openclaw' 'topic-skills-catalog' 'unit':18,51 'upstream':70,87,176 'usag':123 'use':9,42,68 'valid':4,6,24,37,39,57 'variabl':117 'version':89 'virtual':136 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