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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

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GitHub

prompt-improver

severity1

This skill enriches vague prompts with targeted research and clarification before execution. Should be used when a prompt is determined to be vague and requires systematic research, question generation, and exe...

GitHub

lark-doc

XiaoMi

Fetch Lark/Feishu document and convert to Markdown. Use this skill to get troubleshooting guides and operation instructions from Lark documents.

GitHub

knowledge

XiaoMi

Search WeKnora knowledge base for documentation, guides, and best practices. Use when user asks "how to", "what is", or needs configuration guides, feature docs, usage instructions, or troubleshooting steps.

GitHub

skill-creator

XiaoMi

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...

GitHub

improve-skill

mitsuhiko

Analyze coding agent session transcripts to improve existing skills or create new ones. Use when asked to improve a skill based on a session, or extract a new skill from session history.

GitHub

pi-share

mitsuhiko

Load and parse session transcripts from shittycodingagent.ai/buildwithpi.ai/buildwithpi.com (pi-share) URLs. Fetches gists, decodes embedded session data, and extracts conversation history.

GitHub

onboard

ballred

Load CLAUDE.md context files from vault for comprehensive understanding. Discovers hierarchical context, recent notes, and project states. Use at start of session or when Claude needs full vault context.

GitHub

skill-creator

AIPexStudio

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends AIPex's capabilities with specialized knowledge, workflows, or too...

GitHub

skill-creator

hotovo

Design and create Agent Skills using progressive disclosure principles. Use when building new skills, planning skill architecture, or writing skill content.

GitHub

domain-classifier

huangserva

AI领域分类器 - 智能分析提示词内容,准确判断所属领域(人像/艺术/设计/产品/视频)

GitHub

prompt-analyzer

huangserva

提示词分析与洞察 - 查看Prompt详情、对比差异、推荐相似提示词、元素库统计

GitHub

prompt-generator

huangserva

提示词生成器 - 根据用户主题描述智能生成完整的AI图像提示词,基于元素数据库

GitHub

prompt-master

huangserva

提示词主控 - 智能选择合适的领域skill并生成提示词,支持自动领域分类和调度

GitHub

prompt-extractor

huangserva

自动化提取AI绘画提示词的模块化结构,从海量提示词中提炼可复用的模块组件

GitHub

bedrock

itsmostafa

AWS Bedrock foundation models for generative AI. Use when invoking foundation models, building AI applications, creating embeddings, configuring model access, or implementing RAG patterns.

GitHub

lambda

itsmostafa

AWS Lambda serverless functions for event-driven compute. Use when creating functions, configuring triggers, debugging invocations, optimizing cold starts, setting up event source mappings, or managing layers.

GitHub

messaging-agents

letta-ai

Send messages to other agents on your server. Use when you need to communicate with, query, or delegate tasks to another agent.

GitHub

searching-messages

letta-ai

Search past messages to recall context. Use when you need to remember previous discussions, find specific topics mentioned before, pull up context from earlier in the conversation history, or find which agent d...

GitHub

initializing-memory

letta-ai

Comprehensive guide for initializing or reorganizing agent memory. Load this skill when running /init, when the user asks you to set up your memory, or when you need guidance on creating effective memory blocks...

GitHub

finding-agents

letta-ai

Find other agents on the same server. Use when the user asks about other agents, wants to migrate memory from another agent, or needs to find an agent by name or tags.

GitHub

creating-skills

letta-ai

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, o...

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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