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Skills IA Données et IA

Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.

Catégories: Données et IA

12,817–12,840 sur 83,104

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GitHub

flaky-fix

jmagly

Suggest and apply fixes for flaky tests based on detected patterns. Use after flaky-detect identifies unreliable tests that need repair. Use when relevant to the task.

GitHub

voice-apply

jmagly

Applies a voice profile to transform content. Use when user asks to write in a specific voice, match a tone, apply a style, or transform content to sound like a particular voice profile.

GitHub

quality-checker

jmagly

Validate skill quality, completeness, and adherence to standards. Use before packaging to ensure skill meets quality requirements. Use when relevant to the task.

GitHub

venv-manager

jmagly

Create, manage, and validate Python virtual environments. Use for project isolation and dependency management.

GitHub

llms-txt-support

jmagly

Detect and use llms.txt files for LLM-optimized documentation. Use when checking if a site has LLM-ready docs before scraping.

GitHub

skill-enhancer

jmagly

AI-powered enhancement of skill SKILL.md files. Use to transform basic templates into comprehensive, high-quality skill documentation. Use when relevant to the task.

GitHub

generate-factory

jmagly

Auto-generate test data factories from schemas, types, or models. Use when creating test data infrastructure, setting up fixtures, or reducing test setup boilerplate.

GitHub

mutation-test

jmagly

Run mutation testing to validate test quality beyond code coverage. Use when assessing test effectiveness, finding weak tests, or validating test suite quality.

GitHub

pytest-runner

jmagly

Execute Python tests with pytest, supporting fixtures, markers, coverage, and parallel execution. Use for Python test automation.

GitHub

voice-blend

jmagly

Combine multiple voice profiles with weighted mixing to create hybrid voices. Use when relevant to the task.

GitHub

repo-analyzer

jmagly

Analyze GitHub repositories for structure, documentation, dependencies, and contribution patterns. Use for codebase understanding and health assessment.

GitHub

incident-triage

jmagly

Rapid incident classification, severity assessment, and response coordination. Use when relevant to the task.

GitHub

source-unifier

jmagly

Merge multiple documentation sources (docs, GitHub, PDF) with conflict detection. Use when combining docs + code for complete skill coverage.

GitHub

ai-pattern-detection

jmagly

Detects AI-generated writing patterns and suggests authentic alternatives. Auto-applies when reviewing content, editing documents, generating text, or when user mentions writing quality, AI detection, authentic...

GitHub

test-sync

jmagly

Detect orphaned tests, obsolete assertions, and test-code misalignment. Use for test suite maintenance, cleanup, and traceability validation.

GitHub

skill-packager

jmagly

Package skills into uploadable ZIP files for Claude. Use after skill-builder/skill-enhancer to create final upload package. Use when relevant to the task.

GitHub

config-validator

jmagly

Validate AIWG configuration files and project setup for correctness and completeness. Use when relevant to the task.

GitHub

qa-protocol

jmagly

Multi-stage quality assurance protocol for marketing assets with channel-specific validation. Use when relevant to the task.

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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