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Skills IA devops llm ai

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

Catégories: devops llm ai

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Explorer

GitHub

brand-identity

aagii9912

Provides the single source of truth for brand guidelines, design tokens, technology choices, and voice/tone. Use this skill whenever generating UI components, styling applications, writing copy, or creating use...

GitHub

creating-skills

aagii9912

Generates high-quality, predictable, and efficient .agent/skills/ directories based on user requirements. Use when the user asks to create a new skill or defining a new agent capability.

GitHub

opencode-zen

osoleve

Invoke the 'opencode' CLI in headless mode for AI-powered code analysis, reviews, and second opinions. Use when you need a different AI perspective, the user mentions opencode, or requests batch code analysis.

GitHub

gemini

osoleve

Invoke Google's Gemini AI via CLI in headless mode for AI-powered analysis, code generation, and reasoning tasks. Use when you need a second opinion, the user mentions Gemini, needs Google AI capabilities, or r...

GitHub

animejs-mastery

frogody

Autonomous agent for systematically upgrading applications with polished anime.js animations. Use when asked to add animations, improve UI polish, upgrade visual experience, or make an app feel more alive. Trig...

GitHub

web-artifacts-builder

Jackliu-miaozi

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, rou...

GitHub

rlm-context-scout

Magic8Ballin

Reconnaissance techniques for exploring large contexts before reading them. Teaches agents to probe, filter, and map data structures without consuming context window.

GitHub

rlm-repl-environment

Magic8Ballin

Technical implementation guide for the RLM REPL environment. Covers code patterns, llm_query usage, answer signaling, and common implementation patterns.

GitHub

rlm-orchestrator

Magic8Ballin

Master skill for Recursive Language Model thinking — orchestrates long-context reasoning by treating prompts as environments, not inputs. Spawns sub-agents and manages recursive decomposition.

GitHub

debugging

ProteoWizard

Use this skill any time you need to debug something or figure out why a problem is happening.

GitHub

outer-review

unfinishablemap

Commission and process external AI analysis to reduce blind spots. Manual invocation only.

GitHub

research-voids

unfinishablemap

Research voids (cognitive gaps, unchartable territories). Daily. Outputs research notes for voids articles.

GitHub

refine-draft

unfinishablemap

Improve the quality of draft content. Runs review and applies improvements while preserving voice.

GitHub

deep-review

unfinishablemap

Comprehensive single-document review combining pessimistic and optimistic analysis with improvements. Modifies content.

GitHub

codex-subagent

mps

Spawn subagents to offload context-heavy work. Use for: deep research (3+ searches), codebase exploration (8+ files), multi-step workflows, exploratory tasks, long-running operations, documentation generation,...

GitHub

documentation

lastdays03

Use when writing or updating documentation - generates function docs, API specs, architecture diagrams (Mermaid), READMEs, code explanations. Activates when user says "document this", "write README", "explain t...

GitHub

obsi-concept-distiller

lastdays03

AI를 활용해 핵심 개념을 추출하고, 문맥을 분석하여 지식 베이스(20_Learning)와 양방향으로 연결합니다.

GitHub

auto-learner

vibelang-org

Use this skill to learn from mistakes. Activate when Claude makes tool call errors, incorrect assumptions, oversights, or when the user corrects Claude. Maintains auto-learning.md as a knowledge base of lessons...

GitHub

skill-creation

vibelang-org

Use this skill when the user asks to create a new skill, custom command, or wants to know how skills work in Claude Code.

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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