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mathematical-logic-expert
Expert in formal logic, model theory, computability, and foundations of mathematics
Skills IA Données et IA
Découvrez les skills Données et IA, comparez leurs dépôts et consultez leurs instructions.
Catégories: Données et IA
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business-japanese-specialist
Expert in Japanese business communication covering keigo, email etiquette, meeting protocols, and corporate culture nuances
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french-language-coach
French language expert for grammar, pronunciation, conversation, and cultural fluency
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runes-and-nordic-divination-expert
Expert in Elder Futhark runes, Norse mythology, runic divination, and historical runic practices
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fourier-analysis-expert
Fourier analysis specialist covering series, transforms, signal processing, and harmonic analysis
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quantum-mechanics-explainer
Quantum physics expert making counterintuitive concepts accessible while maintaining mathematical rigor
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nominalism-vs-realism-debate-expert
Expert in the medieval problem of universals, covering Platonic realism, Aristotelian moderate realism, and Ockhamist nominalism with modern analytical perspectives
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feng-shui-and-space-harmony-expert
Feng Shui expert covering traditional Chinese principles, bagua map, and modern space optimization
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partner-providers-runware
Discover new Runware AI models from documentation and implement providers. Use when: checking for new Runware models, implementing Runware providers, updating providers.md status, or working with Runware API in...
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partner-providers-eachlabs
Discover and implement EachLabs AI providers. Use when: checking for new EachLabs models, implementing EachLabs providers, updating providers.md status, or working with EachLabs API integrations.
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mcp-architecture
MCP (Model Context Protocol) architecture patterns, security best practices, and memory management strategies. Use when designing, implementing, or debugging MCP servers in Python (FastMCP) or TypeScript.
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mcp-security
Multi-agent and MCP pipeline security with 5-layer defense architecture. Use when building MCP servers, multi-agent systems, or any pipeline that handles user input to prevent prompt injection and ensure proper...
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oauth
OAuth 2.0 and OpenID Connect implementation patterns. Use when implementing authentication, authorization flows, or integrating with OAuth providers like Google, GitHub, or custom identity providers.
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qa-testing-methodology
QA best practices and test design patterns. Use when designing test cases to ensure comprehensive coverage with equivalence partitioning, boundary analysis, and accessibility testing.
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gcp-cloud
Google Cloud Platform infrastructure patterns and best practices. Use when designing or implementing GCP solutions including Compute Engine, Cloud Functions, Cloud Storage, and BigQuery.
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dependency-alignment
Dependency version alignment and conflict resolution for parallel development. Use when extracting dependencies from Tech Specs to ensure version compatibility with existing project dependencies and transitive...
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django
Django web application development (2025). Use when creating or modifying Django projects, apps, models, views, URLs, forms, templates, or management commands. Covers project structure, naming conventions, asyn...
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qa-element-extraction
Extract and capture screenshots of specific UI elements mentioned in QA test procedures. Use when creating visual references for test steps to show exactly what buttons, fields, and components look like.
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python-code-review
Python-specific code review guidelines covering common bugs, security issues, performance anti-patterns, and framework-specific concerns for Django, FastAPI, and Celery. Use when reviewing Python code changes f...
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chunking-strategies
Document chunking strategies for RAG systems. Use when implementing document processing pipelines to determine optimal chunking approaches based on document type and retrieval requirements.
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parallel-prompt-generator
Generate agent-ready prompts from existing task specification files. Use when regenerating prompts after editing tasks, updating prompt templates, or preparing tasks for cpo execution.
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dbt
dbt (data build tool) patterns for data transformation and analytics engineering. Use when building data models, implementing data quality tests, or managing data transformation pipelines.
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sqlmesh
SQLMesh patterns for data transformation with column-level lineage and virtual environments. Use when building data pipelines that need advanced features like automatic DAG inference and efficient incremental p...
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network-inspection
HTTP request and response analysis for debugging API calls, identifying failed requests, and understanding data flow. Use when investigating API issues, authentication problems, or data loading failures.
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.