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Skills IA Bases de données

Découvrez les skills Bases de données, comparez leurs dépôts et consultez leurs instructions.

Catégories: Bases de données

1,657–1,680 sur 85,283

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GitHub

arxiv-pattern-discovery

nibzard

Search arXiv for academic papers describing agentic AI patterns. Use when user asks to find new patterns from academic literature, search arXiv, discover patterns from papers, or review academic sources for pat...

GitHub

humanizer

callstack

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fi...

GitHub

code-review-excellence

callstack

Master effective code review practices to provide constructive feedback, catch bugs early, and foster knowledge sharing while maintaining team morale. Use when reviewing pull requests, establishing review stand...

GitHub

doc-coauthoring

callstack

Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow help...

GitHub

html-injection-testing

zebbern

This skill should be used when the user asks to "test for HTML injection", "inject HTML into web pages", "perform HTML injection attacks", "deface web applications", or "test content injection vulnerabilities"....

GitHub

metasploit-framework

zebbern

This skill should be used when the user asks to "use Metasploit for penetration testing", "exploit vulnerabilities with msfconsole", "create payloads with msfvenom", "perform post-exploitation", "use auxiliary...

GitHub

api-fuzzing-for-bug-bounty

zebbern

This skill should be used when the user asks to "test API security", "fuzz APIs", "find IDOR vulnerabilities", "test REST API", "test GraphQL", "API penetration testing", "bug bounty API testing", or needs guid...

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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