发现 testing security 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。
This skill should be used when the user asks to "create a FastAPI app", "add an API endpoint", "create a REST API", "implement authentication", "add OAuth2", "create Pydantic models", "add request validation",...
This skill should be used when the user asks to "create a FastAPI app", "add an API endpoint", "create a REST API", "implement authentication", "add OAuth2", "create Pydantic models", "add request validation",...
Leverage AI (Nano Banana/Imagen) to generate high-quality game sprites and integrate them with real-time background removal for Liquid Galaxy demos.
This skill should be used when the user asks to "create a PRD for Replit", "write product requirements", "document app specifications", "prepare a product spec", or needs a comprehensive specification document...
This skill should be used when the user asks to "create note", "capture thought", "save this", "document idea", "write note", "jot down", "quick note", "remember this", "capture this", or mentions wanting to sa...
This skill should be used when the user asks to "create a secondbrain", "scaffold knowledge base", "init documentation portal", "set up second brain", "create TDA project", or mentions wanting to build a person...
This skill should be used when the user asks to "create a replit prompt", "write a prompt for replit", "optimize for replit agent", "prepare instructions for replit", or mentions building something with Replit...
OpenAI Codex CLIを使用したコードレビュー、分析、コードベースへの質問を実行する。使用場面: (1) コードレビュー依頼時、(2) コードベース全体の分析、(3) 実装に関する質問、(4) バグの調査、(5) リファクタリング提案、(6...
Use the Gemini CLI to search the web for current information. Use this skill whenever the user explicitly asks to "ask gemini" or wants to query Gemini with web search capabilities.
Deep interview for gathering requirements to refine the current plan (user)
Foundational Roc patterns covering platform/application architecture, records, tags, pattern matching, abilities, and functional idioms. Use when writing Roc code, understanding the platform model, or needing g...
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or...
Foundational SPARQL patterns covering RDF querying, triple patterns, graph patterns, and semantic web fundamentals. Use when querying RDF data or working with knowledge graphs. This is the entry point for SPARQ...
Generate a skeleton template for a new Claude Code Skill.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, optimizing for cost or latency, implementing long-running agent systems, agents exhaust m...
Foundational Cypher (Neo4j) patterns covering graph pattern matching, MATCH/CREATE/MERGE/DELETE operations, relationships, path patterns, aggregation, filtering, and common graph query patterns. Use when writin...
Audit an Anthropic Cookbook notebook based on a rubric. Use whenever a notebook review or audit is requested.
Manages and syncs skills across AI CLI tools (Claude, Cursor, Codex) from a single source of truth. Use when asked to "sync my skills", "pull skills", "show skillshare status", "list my skills", "install a skil...
Request an external review from Codex (OpenAI) to get a second perspective on designs, implementations, diffs, or architecture decisions
Provides a curated list of 10+ classic and obscure dad jokes. Use this skill when an AI needs to quickly generate some humorous dad jokes, such as in casual conversation or to lighten the mood.
Assists in creating Agent Skills of varying complexity levels (simple, moderate, complex). Use when the user wants to create, design, or build a new Agent Skill, or when they need guidance on skill architecture...
Amazon Bedrock Runtime API for model inference including Claude, Nova, Titan, and third-party models. Covers invoke-model, converse API, streaming responses, token counting, async invocation, and guardrails. Us...
Amazon Bedrock Automated Reasoning for mathematical verification of AI responses against formal policy rules with up to 99% accuracy. Use when validating healthcare protocols, financial compliance, legal regula...
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。