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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

12,793–12,816 sur 83,104

Données et IA Effacer les filtres

Explorer

GitHub

sdlc-reports

jmagly

Generate comprehensive SDLC reports including iteration status, metrics dashboards, and executive summaries. Use when relevant to the task.

GitHub

quality-checker

jmagly

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

GitHub

voice-create

jmagly

Generate custom voice profiles from natural language descriptions. Use when relevant to the task.

GitHub

artifact-orchestration

jmagly

Orchestrate multi-agent artifact generation with the Primary Author → Parallel Reviewers → Synthesizer → Archive pattern. Use when relevant to the task.

GitHub

voice-analyze

jmagly

Reverse-engineer voice profiles from sample content by analyzing writing patterns. 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

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-packager

jmagly

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

GitHub

audience-synthesis

jmagly

Synthesize audience insights from multiple data sources into unified personas and segments. Use when relevant to the task.

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.

GitHub

pdf-extractor

jmagly

Extract text, tables, and images from PDF files. Use when converting PDF documentation, manuals, or reports to searchable text.

GitHub

data-pipeline

jmagly

Orchestrate marketing data collection, transformation, and reporting workflows. Use when relevant to the task.

GitHub

doc-scraper

jmagly

Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.

GitHub

flaky-detect

jmagly

Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.

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

vitest-runner

jmagly

Execute JavaScript/TypeScript tests with Vitest, supporting coverage, watch mode, and parallel execution. Use for JS/TS test automation.

GitHub

brand-compliance

jmagly

Unified brand compliance validation across visual, verbal, and legal dimensions. Use when relevant to the task.

GitHub

doc-scraper

jmagly

Scrape documentation websites into organized reference files. Use when converting docs sites to searchable references or building Claude skills.

GitHub

skill-builder

jmagly

Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages. Use when relevant to the task.

GitHub

skill-builder

jmagly

Build Claude skills from extracted documentation. Use after doc-scraper/pdf-extractor to generate uploadable skill packages.

GitHub

review-synthesis

jmagly

Aggregate multi-reviewer feedback into consolidated, actionable recommendations. Use when relevant to the task.

GitHub

flaky-detect

jmagly

Identify flaky tests from CI history and test execution patterns. Use when debugging intermittent test failures, auditing test reliability, or improving CI stability.

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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