Generate pytest test cases from SoT documents and target source code.
npx skills add https://github.com/wade56754/AI_ad_spend02 --skill ai-ad-test-gen
Please help me install this Agent Skill. Skill: ai-ad-test-gen Source: https://github.com/wade56754/AI_ad_spend02/tree/main/.claude/skills/ai-ad-test-gen Command: npx skills add https://github.com/wade56754/AI_ad_spend02 --skill ai-ad-test-gen
This Skill generates pytest tests for backend services/routers in alignment with SoT docs, covering happy paths, boundaries, and error states.
Provide a task and target_files (tested code), and choose test_type (service/api/state_machine/ledger) to generate corresponding tests.
High-intent search queries and answers about installing and using this skill.
Generate pytest tests by providing your service code and SoT documents (STATE_MACHINE.md, DATA_SCHEMA.md, BUSINESS_RULES.md, ERROR_CODES_SOT.md). The Skill creates test cases covering happy paths, boundaries, and error scenarios with pytest fixtures and parameterization, outputting structured test files aligned to your SoT rules.
Yes. Specify your test type (service, API, state machine, or ledger) and target source files. The Skill generates corresponding pytest suites with SoT-aligned test cases, input validation, naming conventions, and coverage summaries for each context.
SoT-based test generation covers happy-path flows, boundary conditions, and error states. It enforces business rules from your SoT documents, applies error codes, validates state transitions, and produces pytest-compatible structures with fixtures and parameterized cases.
Yes. Provide STATE_MACHINE.md, DATA_SCHEMA.md, BUSINESS_RULES.md, and ERROR_CODES_SOT.md as input. The Skill generates tests that reference and enforce these documents, ensuring coverage aligns with your defined states, schemas, rules, and error handling.
Select your test type during generation: service, API, state machine, or ledger. The Skill adapts test structure and scenarios to each context, applying domain-specific SoT rules and producing context-appropriate test case summaries and coverage notes.
The Skill outputs updated pytest test files with structured test_case summaries, coverage notes, input validation, and pytest-compatible fixtures. Generated tests enforce naming conventions and parameterization while staying compliant with SoT rules.
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