documentation
Centralizes Diataxis documentation framework guidance so Claude can write, review, or improve documentation following the four distinct types (tutorials, how-to guides, reference, explanation).
发现 devops llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Centralizes Diataxis documentation framework guidance so Claude can write, review, or improve documentation following the four distinct types (tutorials, how-to guides, reference, explanation).
Autonomous AI coding loop that ships features while you sleep. Use when the user wants to run Ralph, start an autonomous coding session, work overnight, or let Claude implement multiple user stories autonomousl...
Centralizes persona-driven code reviews (Carmack, React core, Anders, React Router, Next.js, etc.) so Claude can pick or combine expert viewpoints when the user asks for a code review or perspective-specific cr...
Analyze coding sessions to detect corrections and preferences, then propose targeted improvements to Skills used in the session. Use this skill when the user asks to "learn from this session", "update skills",...
Simple API for interacting with locally hosted models via vLLM. Use when you need to chat with a model, send messages, or generate responses from a local model server.
Guide for evaluating models using scenarios specified by the user. This skill should be used when users ask Claude to evaluate a model using a specific scenario.
ユーザープロンプトを分析し、topic_type(instruction/question/context)を判定する。
タスクの性質を LLM ベースで深く分析し、適切な executor(claudecode/codex/coderabbit/user)を判定する専門 Skill。キーワードベースの単純判定を置き換える。
Create Claude Code sub-agents with optimal configuration. Use when users ask to create a new agent, custom agent, specialized assistant, or want to configure task-specific AI workflows.
Autogenerate formula implementations from formula specifications (F-*). Converts mathematical formulas, calculations, and algorithms into production code with tests. Use when F-* includes formula specifications...
Expert-level AI implementation, deployment, LLM integration, and production AI systems
Expert-level AI system design, MLOps, architecture patterns, and AI infrastructure
Strategic AI council for product vision, innovation, and future planning
Master the Arcanean Prompt Language - advanced prompt engineering using mythological frameworks, constraint architecture, and the Centaur Principle for human-AI co-creation
Educational AI system with personalized learning, curriculum design, and adaptive mentorship
Strategic AI council for product vision, creative direction, and long-term planning. Multiple perspectives from Strategist, Innovator, Futurist, and Synthesizer archetypes. Premium skill for decision-making.
Personalized AI mentorship for learning any creative or technical skill. Adaptive teaching that meets you where you are and guides you to mastery. Premium skill for deep learning journeys.
Advanced human-AI co-creation methodology - the Centaur Principle in practice. Master the art of combining human creativity with AI capability for results neither could achieve alone.
Story structure, voice development, and narrative craft for AI-assisted writing
Multi-agent coordination patterns for building effective AI teams
Guidelines and standards for scraping recipes from external sources using automated tools.
Converts blog posts into podcast audio using Kokoro TTS engine. Use this when asked to generate podcasts, create audio, or run TTS for blog posts.
Fetch, analyze, and respond to PR review comments. Use when asked to check PR comments, address review feedback, respond to reviewers, or fix issues raised in code reviews.
Automatic learning from session command patterns
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。