Automate creation and updating of pytest unit tests for changed code.
npx skills add https://github.com/JetBrains/databao-cli --skill write-tests-jetbrains
Please help me install this Agent Skill. Skill: write-tests Source: https://github.com/JetBrains/databao-cli/tree/main/.claude/skills/write-tests Command: npx skills add https://github.com/JetBrains/databao-cli --skill write-tests-jetbrains
Automates the creation and updating of unit tests for changed code, ensuring consistency with project conventions and maintaining 80% coverage.
Run the write-tests workflow to generate or update tests for modified modules and verify coverage targets are met.
High-intent search queries and answers about installing and using this skill.
Automate unit test generation by identifying changed source modules and mirroring them under tests/ with properly named pytest files, ensuring 80% coverage. The workflow creates or updates tests automatically to match project conventions and maintain target thresholds.
Structure pytest files by mirroring source modules from src/ under tests/ with properly named test files following project layout conventions. The automation enforces one-behavior-per-test discipline and applies naming conventions to support reliable, reproducible results.
Mock external I/O in pytest by isolating CLI command handlers and source modules during automated test creation. The workflow mocks external dependencies to enforce deterministic, reproducible results and maintain the one-behavior-per-test discipline.
Yes, the automated testing workflow applies to CLI command handlers across the project alongside source modules under src and tests under tests. It guides test placement and naming conventions for CLI handlers to ensure consistency with project conventions.
Unit test coverage drops below 80% when changed code lacks corresponding test updates. The automation identifies modified modules, determines which tests to create or update, and validates coverage targets to ensure the 80% threshold is consistently maintained.
Yes, pytest automation enforces one-behavior-per-test discipline to support reliable, reproducible results. Each generated test validates a single behavior, mocking external I/O and following project conventions to maintain 80% coverage across changed modules.
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