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Skills IA tools llm ai

Découvrez les skills tools llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: tools llm ai

2,209–2,232 sur 13,071

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GitHub

parallel-dispatch

jmagly

Generic parallel agent orchestration utility for launching multiple agents concurrently. Use when relevant to the task.

GitHub

skill-enhancer

jmagly

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

GitHub

decision-support

jmagly

Facilitate data-driven technical decisions using embedded decision matrices and trade-off analysis. Use when relevant to the task.

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

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

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

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

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

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

voice-blend

jmagly

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

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

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

nl-router

jmagly

Route natural language requests to appropriate skills and workflows. Use when relevant to the task.

GitHub

sanity-groq

sanity-io

Expert assistance for writing, optimizing, and debugging GROQ queries. Use when writing queries or debugging performance.

GitHub

add-neon-docs

neondatabase

Use this skill when the user asks to add documentation, add docs, add references, or install documentation about Neon. Adds Neon best practices reference links to project AI documentation (CLAUDE.md, AGENTS.md,...

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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