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Skills IA data ai testing

Découvrez les skills data ai testing, comparez leurs dépôts et consultez leurs instructions.

Catégories: data ai testing

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testing-expert-2026

Ghostspeak

Expert testing patterns for GhostSpeak monorepo (January 2026). Use when (1) Writing unit tests, (2) Building integration tests, (3) Creating E2E tests with Playwright, (4) Testing Solana programs, (5) Testing...

GitHub

test-gen

jawwad-ali

Generate comprehensive pytest integration tests for MCP tools and FastAPI endpoints. Includes fixtures, edge cases, and validation tests.

GitHub

ui-testing

Grimblaz

Resilient React component testing strategies focusing on user behavior. Use when writing or reviewing UI tests, fixing flaky tests, or establishing testing patterns.

GitHub

testing-patterns

IvanTorresEdge

Test design patterns, best practices, and examples for comprehensive Solidity testing. Use when writing tests for smart contracts or improving test coverage.

GitHub

testing-standards

IvanTorresEdge

Standards and best practices for writing effective tests including the testing pyramid, test structure patterns, and coverage guidelines

GitHub

coverage-analysis

IvanTorresEdge

Test coverage analysis and improvement strategies for Solidity contracts. Use when analyzing or improving test coverage.

GitHub

testing-patterns

IvanTorresEdge

Table-driven tests, mocking strategies, and comprehensive testing patterns. Use when writing tests.

GitHub

spec-writing

IvanTorresEdge

Standards and templates for writing detailed feature specifications. Use when transforming requirements into implementation-ready specs.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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