GitHub
rag-builder
Build Retrieval-Augmented Generation systems with vector databases
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testing security llm ai AI 技能
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。
分类目录: testing security llm ai
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GitHub
agent-builder
Build specialized sub-agents for the workflow system
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GitHub
knowledge-ingestion-patterns
Patterns for ingesting knowledge into vector databases and RAG systems
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GitHub
prompt-template
Create and manage reusable prompt templates
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GitHub
task-decomposition
Break down complex tasks into actionable, atomic steps that can be executed by individual agents.
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GitHub
embedding-comparison
Compare and evaluate embedding models for semantic search
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GitHub
ai-video-generation
AI video generation patterns using Sora, Runway, Pika, and other AI video tools. Use when generating videos from text prompts, image-to-video conversion, AI video editing, or integrating AI video APIs.
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GitHub
qdrant-patterns
Store and retrieve documents using Qdrant for RAG workflows. Use for persistent memory, research storage, and semantic search.
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GitHub
rag-wrapper
Patterns for wrapping any agent with RAG context from Qdrant. Use to add persistent memory to imported or external agents.
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GitHub
mcp-server-builder
Build Model Context Protocol servers for Claude Code integration
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GitHub
skill-creator
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
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GitHub
deep-research
Conduct comprehensive, multi-source research on any topic using web search, documentation lookup, and critical analysis. This skill should be used when users request thorough investigation, deep research, or co...
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GitHub
mcp-builder
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...
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GitHub
artifacts-builder
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...
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GitHub
nano-banana
Generate images using Google's Nano-Banana (Gemini 2.5 Flash Image) model. Use when the user asks to generate, create, or make an image, picture, or illustration.
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GitHub
realistic-ugc-video
Create realistic long-form AI talking head/UGC videos that don't look AI-generated. Use when user wants to make "realistic AI video", "UGC video", "talking head video", "AI spokesperson", "AI ad content", "vide...
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GitHub
writing-guide
Use when creating or reviewing technical documentation. Provides guidelines for natural, readable Japanese writing without AI-generated artifacts. Triggers: (1) creating technical documents or READMEs, (2) proo...
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GitHub
claude-code-frontmatter
Use when creating or editing Claude Code skills, agents (subagents), or slash commands. Provides complete YAML frontmatter property reference.
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GitHub
gemini
Use when delegating tasks to Gemini. Two execution modes: (1) CLI mode (default): Subagent runs gemini CLI iteratively until task complete. Progress visible, suitable for large investigations. (2) MCP mode: Dir...
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GitHub
spec-kit-feedback
Capture workflow usage data for spec-kit optimization. Auto-activates when: (1) completing a spec-kit workflow (/speckit.review, final commit), (2) encountering friction or confusion during workflows, (3) user...
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GitHub
rl-optimization
Apply reinforcement learning principles when working on spec-kit-extensions. Auto-activates when: (1) editing command prompts in commands/*.md, (2) modifying workflow templates in extensions/workflows/, (3) dis...
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GitHub
self-learning
Self-learning capability for agents. Captures execution traces, extracts insights, and adapts agent behavior. Use after completing complex tasks, when agents encounter recurring issues, or to optimize workflows...
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GitHub
trading-wisdom
Core trading insights learned from Agent Arena competition. Use when making any trading decision to apply institutional knowledge.
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GitHub
map-reduce
When it would yield better results to explore mulitple approaches to a problem, load this skill to orchestrate multiple agents using a diverge and converge strategy.
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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。