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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

10,657–10,680 sur 13,071

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GitHub

multi-model

FlexNetOS

Multi-model orchestration for ARIA. Activate when dispatching tasks to different LLM providers (OpenAI, local models, cloud providers) or when optimizing cost/latency tradeoffs.

GitHub

aios-cerebrum

FlexNetOS

AIOS Agent Operating System and Cerebrum SDK for building, deploying, and orchestrating AI agents

GitHub

llama

FlexNetOS

AI model inference and serving. Activate when: (1) Setting up LocalAI or vLLM, (2) Configuring model serving, (3) Working with GGUF/GGML models, (4) Implementing inference pipelines, or (5) Optimizing model per...

GitHub

transcript-condenser

OrasesLabs

Condenses Claude Code session transcripts into readable summaries by filtering metadata, system notifications, and command artifacts. Use when the user wants to review, analyze, or understand what happened in a...

GitHub

session-analyzer

OrasesLabs

Discovers and lists Claude Code session transcripts from .claude/logs/ for analysis. Use when the user wants to find available sessions, view session timelines, identify which sessions to analyze for workflow i...

GitHub

sync-specs-from-session

thlandgraf

This skill should be used when the user asks to "sync specs", "update specs from work", "record what we did", "add to speclan", "document implemented features", or wants to capture session work as SPECLAN speci...

GitHub

do-ai-nano-banana

yejune

콘텐츠 생성, 이미지 생성 및 AI 기반 워크플로우를 위한 Nano-Banana AI 서비스 통합. AI 서비스를 콘텐츠 생성에 통합할 때 사용

GitHub

agent-communication

juljus

Principles for writing token-efficient, action-oriented instructions to agents. Use when creating agent prompts, rules, documentation, or improving agent communication.

GitHub

skill-authoring

juljus

Guide for creating effective agent skills. Use when users want to create a new skill (or update an existing skill) that extends an agent's capabilities with specialized knowledge, workflows, or tool integration...

GitHub

skillcreator-codex

therealityreport

Codex-native skill creator. Self-contained 4-phase methodology for creating production-ready Claude Code skills. Adapted from SkillCreator v3.2 for Codex agents with embedded methodology and simulated synthesis...

GitHub

skillcreator

therealityreport

Ultimate meta-skill for creating production-ready Claude Code skills. Uses deep iterative analysis with 11 thinking models, regression questioning until exhausted, evolution and timelessness as core lens, and m...

GitHub

pipeline-insights

therealityreport

AI-powered pipeline diagnostics. Explains why faces weren't detected, tracked, embedded, or clustered using OpenAI GPT-4o analysis. Use when debugging pipeline issues, reviewing unclustered tracks, or understan...

GitHub

using-grok

mortenbrudvik

Integrate xAI's Grok models for multi-model collaboration. Triggers on "Ask Grok", "What does Grok think", "Have Grok analyze", or similar phrases. Provides access to grok_query, grok_analyze_code, grok_reason,...

GitHub

subagent-creator

dmitriiweb

Create, configure, and document custom Claude Code subagents, including choosing scope, defining YAML frontmatter, selecting tools, model, permission mode, hooks, and usage examples.

GitHub

self-check

IbdotBoss

Adversarial self-validation skill for verifying outputs before delivery. Applies systematic counter-argument challenges including "why is this wrong", "prove this is incorrect", and "why doesn't this make sense...

GitHub

codex-exec

kecbigmt

Execute codex CLI as sub-agent for thorough code reviews (codex's specialty), alternative approaches when stuck, or complex problems requiring extended investigation. Note that inference takes significant time.

GitHub

internal-comms

Cissou34730

A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Copilot should use this skill whenever asked to write some sort of internal communicatio...

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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