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testing security llm ai AI Skills

Discover testing security llm ai skills, compare source repositories and read the instructions for each workflow.

Categories: testing security llm ai

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GitHub

gray-swan-competition

RazonIn4K

Execute Gray Swan AI Arena indirect prompt injection (IPI) and machine-in-the-middle (MITM) challenges with optimized payloads, reconnaissance workflows, and evidence collection for CTF competition success

GitHub

payload-generator

RazonIn4K

Generate optimized indirect prompt injection, H-CoT, and multi-layer attack payloads for AI security testing and CTF competitions with automated family selection and success rate optimization

GitHub

dispatching-parallel-agents

SkogAI

Use when facing 3+ independent tasks that can be completed without shared state or dependencies - dispatches multiple agents to work concurrently on summarization, investigation, implementation, or analysis

GitHub

using-skogactions

SkogAI

Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWri...

GitHub

using-crispyclaude

seanGSISG

Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWri...

GitHub

research-orchestration

seanGSISG

Use when brainstorming completes and user selects research-first option - manages parallel research subagents (up to 4) across codebase, library docs, web, and GitHub sources, synthesizing findings and auto-sav...

GitHub

deep-research

bumfo

Use PROACTIVELY for comprehensive, multi-source research combining web browsing, codebase exploration, and third-party code analysis. Orchestrates multiple specialized agents using Graph of Thoughts methodology...

GitHub

strategy-synthesis

Whamp

Combine findings from parallel intelligence gathering into unified execution plan. Synthesize predictions, web research, deep strategy, and environment observations into optimal approach. Use when multiple inte...

GitHub

skill-builder

zacharyr0th

Use when the user wants to create a new Claude Code skill, build a custom skill, or needs help structuring skill instructions. Guides users through creating properly formatted skills with YAML frontmatter, clea...

GitHub

ai-model-cascade

vishalsachdev

A production-ready pattern for integrating AI models (specifically Google Gemini) with automatic fallback, retry logic, structured output via Zod schemas, and comprehensive error handling. Use when integrating...

GitHub

creating-skills

mikkelkrogsholm

Expert knowledge on creating Agent Skills for Claude Code. Use when designing or creating SKILL.md files, understanding Skill structure, or implementing progressive disclosure patterns.

GitHub

automation-build-flow

MacroMan5

Workflow builder for Power Automate, n8n, Make, Zapier and other platforms. Generates complete, production-ready workflow JSON from implementation plans or requirements. Uses flow-builder sub-agent to create va...

GitHub

share-session

code-yeongyu

Convert and share Claude Code conversation sessions as readable markdown files. Use when user wants to share a session transcript, export conversation history, or create a shareable markdown document from a Cla...

GitHub

skill-creator

Tietve

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

obsidian-qa-saver

AIA-11-HN-MIB

Save Q&A conversations to Obsidian notes with proper formatting, metadata, and organization. Use this skill when the user explicitly requests to save a conversation, question-answer exchange, or explanation to...

GitHub

robin

swapkats

Hyper-opinionated Claude agent for building production-ready Next.js apps with DynamoDB. Enforces best practices, eliminates technology debates, and focuses on shipping functional apps fast. Use when building f...

GitHub

implementation-planning

yangsi7

Create technical implementation plans from specifications with intelligence-backed architectural decisions. Use when specification exists and user mentions tech stack, architecture, implementation approach, or...

GitHub

developing-skill

junjzhang

Create and manage Claude Code skills following Anthropic best practices. Use when creating new skills, modifying skill-rules.json, understanding trigger patterns, working with hooks, debugging skill activation,...

GitHub

creating-commands

mikkelkrogsholm

Expert knowledge on creating slash commands for Claude Code. Use when designing or creating slash command .md files, understanding command arguments, or implementing bash execution.

GitHub

ai-elements

nathanonn

Intelligent documentation system for AI Elements component library. Activate automatically when working with AI-native applications or when AI Elements component names are mentioned (Message, Conversation, Reas...

GitHub

automation-quick-fix

MacroMan5

Fast automation platform error resolver for Power Automate, n8n, Make, Zapier and other platforms. Handles common patterns like 401/403 auth errors, 429 throttling, and data format issues. Provides immediate fi...

GitHub

tapestry

silvainfm

Unified content extraction and action planning. Use when user says "tapestry ", "weave ", "help me plan ", "extract and plan ", "make this actionable ", or similar phrases indicating they want to extract conten...

GitHub

skill-builder

jlaswell

Use this skill when users ask to build, create, design, or improve a Claude Code skill. This includes requests like "help me create a skill", "build a skill for X", "design a new skill", or "improve my existing...

GitHub

seo-llm-optimizer-tests

mikkelkrogsholm

Test specifications for SEO & LLM Optimizer WordPress plugin. Use when testing the SEO & LLM Optimizer plugin, verifying Copy for AI functionality, or checking markdown/RAG export features.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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