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。
Conversational elicitation of someone's predictive worldview through natural dialogue. Use when someone shares a prediction, forecast, or opinion about what will happen. Understands what they believe, why they...
Analyzes conversation history to improve CLAUDE.md files. Use when you notice patterns in how Claude misunderstands requests, want to consolidate repeated guidance, or improve instruction clarity based on actua...
Guide for authoring slash commands. Use when creating, building, reviewing, or improving commands, learning command best practices, or deciding when to use commands vs skills.
Validates agent configurations for model selection, tool permissions, focus areas, and approach quality. Use when reviewing, auditing, improving agents, or learning agent best practices.
Analyzes development sessions to extract patterns, preferences, and learnings. Use after significant work sessions to capture insights, document system understanding, and improve future interactions.
Guide for authoring specialized AI agents. Use when creating, updating, or improving agents, choosing models, defining focus areas, configuring tools, or learning agent best practices.
Guide for authoring output-styles that transform Claude's behavior and personality. Use when creating, writing, designing, building, reviewing, or improving output-styles, persona modes, or behavior modificatio...
Runs systematic tests on Claude Code customizations. Executes sample queries, validates responses, generates test reports, and identifies edge cases for agents, commands, skills, and hooks.
Guide for authoring effective skills that extend Claude's capabilities. Use when creating, updating, or improving skills, learning skill structure, progressive disclosure, or troubleshooting skill issues.
Audits command files for correctness and best practices. Use when reviewing, improving, or validating commands, checking frontmatter, assessing structure, or learning command quality standards.
スキルを作成・更新・プロンプト改善するためのメタスキル。 **collaborative**モードでユーザーと対話しながら共創し、 抽象的なアイデアから具体的な実装まで柔軟に対応する。 **orchestrate**モードでタスクの実行エンジン...
Compress and simplify prompts to preserve meaning while reducing use of context
Add and manage evaluation results in Hugging Face model repositories using the new .eval_results/ format. Supports extracting scores from model cards, importing from Artificial Analysis API, and batch processin...
Create and execute PRPs (Product Requirements Prompts) for feature implementation using Context Engineering principles. Use when planning new features, initializing PRP setup, executing existing PRPs, or when t...
This skill should be used when creating commits or pull requests, enforcing a human-written PR structure, intent capture, and evidence in agentic workflows.
Edit images with Gemini using the nanobanana CLI. Use when the user asks to transform or retouch images and wants concrete output files.
Use when user asks to generate, create, or draw an image, photo, picture, logo, illustration, or art. Triggers include 'сгенерируй', 'нарисуй', 'создай картинку', 'сделай фото', 'фотографию', 'изображение', 'ил...
Search the web using Kagi. Use for web searches with Quick Answer AI summaries.
Designs robust function/tool calling schemas for LLMs with JSON schemas, validation strategies, typed interfaces, and example calls. Use when implementing "function calling", "tool use", "LLM tools", or "agent...
Builds repeatable evaluation systems with golden datasets, scoring rubrics, pass/fail thresholds, and regression reports. Use for "LLM evaluation", "testing AI systems", "quality assurance", or "model benchmark...
Generates Request for Comments documents for technical proposals including problem statement, solution design, alternatives, risks, and rollout plans. Use for "RFC", "technical proposals", "design docs", or "ar...
Converts documents into clean, chunked datasets suitable for embeddings and vector search. Produces chunked JSONL files with metadata, deduplication logic, and quality checks. Use when preparing "training data"...
Builds document embedding pipelines with text chunking, embedding generation, indexing, and retrieval optimization. Use when users request "embedding pipeline", "document indexing", "text chunking", "RAG prepro...
Builds LLM applications with LangChain including chains, agents, memory, tools, and RAG pipelines. Use when users request "LangChain setup", "LLM chain", "AI workflow", "conversational AI", or "RAG pipeline".
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。