发现 测试与安全 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。
Guide for creating valid skills. This skill should be ALWAYS used when users want to create a new skill or update an existing skill that extends Claude's capabilities with specialized knowledge, workflows, or t...
Nemotron-Personas-Japan (1M件) から最適ペルソナを選定し、Instagram実データで検証・統合する全自動ペルソナ分析Skill。Instagram分析、ペルソナ作成依頼時に自動起動。
AWS Prescriptive Guidance for best practices and architectural patterns. Use for AWS architecture recommendations, SageMaker AI endpoints guidance, deployment patterns, and AWS solution architectures.
Retrieve project-specific insights from file-based memory. Use when working on features, encountering domain-specific questions, or user says "--project-recall" or "--recall" (you decide which scope, may use bo...
Expert in creating visual grammar cheatsheets for Kabardian language with morphological breakdowns and corpus examples. Generates cheatsheets with ASCII-tree morpheme visualization (like verb_translation_cheats...
Google ADK (Agent Development Kit) architecture and core concepts. Covers agent types (LLM, Sequential, Parallel, Loop, Multi-agent), tool ecosystem, execution flows, deployment options, and observability. Mode...
Guidelines for selecting appropriate AI model (Sonnet vs Haiku) based on task complexity, ensuring cost efficiency while maintaining quality. Use when assigning work.
効果的なスキルを作成するためのガイド。ユーザーが専門知識、ワークフロー、ツール統合でClaudeの能力を拡張する新しいスキルを作成（または既存のスキルを更新）したい場合に使用します。
Expert in Kabardian morphological analysis. Provides word structure breakdown, verb template analysis ([PRAGM]-[GEOM]-[ARGS]-[STEM]-[TAM]-[SUBORD]), prefix/suffix identification, derivational patterns, and mult...
根据用户给出的搜索关键语句，调用zhipu的搜索引擎得到搜索结果。
Systematic AI extraction prompt design expert with Socratic methodology
Context management patterns for multi-source AI agents in Clojure+Vertex AI. Covers 4 context types (static/query/API/previous-result), lifecycle management (load/cache/invalidate), TTL strategies, and LGPD-com...
Multi-agent workflow orchestration patterns for Clojure+Vertex AI. Covers sequential/parallel/DAG topologies, state management (stateless/stateful/hybrid), error handling (retry/circuit breaker), and monitoring...
Phase 2-5 autonomous execution guidance - Activate when Claude needs to decide technical choices during implementation/testing/review/release phases
A simple demonstration skill that greets users and provides helpful information
Comprehensive overview of Claude Code features, architecture, and capabilities. Learn about hooks, skills, commands, permissions, and best practices for configuring Claude Code as your AI development assistant....
This skill should be used when the user asks to "move candidate through pipeline", "schedule an interview", "manage applications", "track hiring progress", "source candidates", "advance to next stage", or menti...
効果的なスキルを作成するためのガイド。ユーザーがClaudeの機能を専門知識、ワークフロー、ツール統合で拡張する新しいスキルを作成（または既存のスキルを更新）したい場合に使用すべきスキルです。
ChromaDB vector database client for storing and retrieving text embeddings with hybrid search (dense + sparse). Use for RAG operations, contextual retrieval, and similarity search in clinical notes.
Use when creating AGENTS.md files, writing SKILL.md files, or improving agentic coding developer experience. Triggers include create AGENTS.md, write SKILL.md, agent configuration, agentic DX, AI assistant cont...
standardized protocols for agent collaboration. Use this to implement the Agent2Agent (A2A) protocol and Agent Cards to transform isolated agents into a collaborative ecosystem.
extended MCP features beyond tools, including Resources (data access), Prompts (templates), and Sampling (server-initiated model calls). Use this to implement rich, two-way agent interactions.
Create, modify, and manage Claude Code subagents with specialized expertise. Use when you need to "work with agents", "create an agent", "modify an agent", "set up a specialist", "I need an agent for [task]", o...
core cognitive architectures for Gemini agents. Use this to implement reasoning loops (ReAct, Chain-of-Thought) and understand the orchestration layer.
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。