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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

显示第 5,521–5,544 个,共 13,084 个

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GitHub

brainstorm

rhuss

Use when starting from rough ideas - refines concepts into executable specifications through collaborative questioning, alternative exploration, and incremental validation, use this skill when called from a com...

GitHub

teach

adamos486

Transforms technical documents into adaptive learning sessions with just-in-time prerequisite assessment, foundation building via web search, and verified understanding through quizzes and exercises. Use when u...

GitHub

skill-frontmatter-optimizer

IngmarKrusch

Analyze and optimize skill frontmatter for reliable automatic invocation. Use this skill when: (1) improving an existing skill's description for better triggering, (2) diagnosing why a skill isn't being invoked...

GitHub

skill-creator

kay-ou

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...

GitHub

langgraph-development

hhhh124hhhh

专业的LangGraph AI应用开发技能,提供从概念到生产的完整开发指导。基于Context7最新调研,涵盖StateGraph设计、多代理协作、RAG系统实现、生产部署等核心场景。使用此技能构建有状态、多参与者、长期运行的AI代理应用。

GitHub

toolfs-skill

IceWhaleTech

Execute WASM-based skills mounted to virtual paths. Use this skill when the user requests skill execution such as "Execute the RAG skill", "Run the analytics skill", or "Call the skill at this path".

GitHub

prompt-engineering

Jsebayhi

Use this skill when asked to create, refine, analyze, or optimize prompts for Large Language Models (LLMs). This skill ensures adherence to prompt engineering best practices and enforces a rigorous design workf...

GitHub

prompt-optimizer

shihan-1147

Prompt engineering expert that helps users craft optimized prompts using 57 proven frameworks. Use when users want to optimize prompts, improve AI instructions, create better prompts for specific tasks, or need...

GitHub

agnostic-prompt-standard

chris-buckley

The reference framework to generate, compile, and lint greenfield prompts that conform to the Agnostic Prompt Standard (APS) v1.0.

GitHub

add-provider

agentconfig

Add a new AI provider to agentconfig.org's comparison system. Use when integrating a new coding assistant (e.g., Cursor, Claude Desktop, GitHub Copilot alternative) with proper type system updates, implementati...

GitHub

copilot-flow

Aykahshi

AI collaboration workflow plugin - Implements automated collaborative development process between Claude and Copilot through structured 5-stage workflow

GitHub

documentation-writer

C0ntr0lledCha0s

Expert technical writer for Logseq Template Graph project. Generates comprehensive, accurate, and well-structured documentation for modules, features, guides, and APIs. Activates when asked to "write docs", "do...

GitHub

media-factory

eddiebe147

AI-powered media production pipeline using Nano Banana Pro (images), KLING AI (video/transitions), and ElevenLabs (voiceover). Use when creating video content, product demos, social media assets, or any multime...

GitHub

prp-ralph-loop

NanoBoom

Autonomous iteration execution guide for PRP Ralph loops. Use when .claude/prp-ralph.state.md exists, when continuing Ralph iterations, or when executing plans autonomously until all validations pass. Provides...

GitHub

llm-infrastructure

phrazzld

Comprehensive LLM audit. Model currency, prompt quality, evals, observability, CI/CD. Ensures all LLM-powered features follow best practices and are properly instrumented. Auto-invoke when: model names/version...

GitHub

agent-documenting-references

wahidyankf

Standardized reference documentation section structure for agents - project guidance, conventions, related agents, and Skills. Use when implementing or updating agent documentation.

GitHub

agent-developing-agents

wahidyankf

AI agent development standards including frontmatter structure, naming conventions, tool access patterns, model selection, and Bash-only file operations for .opencode/ folders

GitHub

repo-defining-workflows

wahidyankf

Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coo...

GitHub

workflow-name

wahidyankf

Workflow pattern standards for creating multi-agent orchestrations including YAML frontmatter (name, description, tags, status, agents, parameters), execution phases (sequential/parallel/conditional), agent coo...

GitHub

agent-selecting-models

wahidyankf

Guidance for selecting appropriate AI model (sonnet vs haiku) based on task complexity, reasoning requirements, and performance needs. Use when implementing agents or justifying model selection.

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