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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

setup-ralph

cedricfressin

Setup the Ralph autonomous AI coding loop - ships features while you sleep

GitHub

research-expert

mahamaneharouna9-cpu

Specialized research expert for parallel information gathering. Use for focused research tasks with clear objectives and structured output requirements.

GitHub

skill-creator

Ktita10

Creates new AI agent skills following the Agent Skills spec. Trigger: When user asks to create a new skill, add agent instructions, or document patterns for AI.

GitHub

prompt-engineering

Doyajin174

Advanced prompt engineering techniques for optimal AI responses. Use this when crafting prompts, optimizing AI interactions, or designing system prompts for applications.

GitHub

evaluation

Asmayaseen

Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.

GitHub

help

BLERBZ

Show Inference Confidenz help and documentation

GitHub

ai-collaborate-teaching

92Bilal26

Design co-learning experiences using the Three Roles Framework (AI as Teacher/Student/Co-Worker). Use when teaching AI-driven development workflows, spec-first collaboration, or balancing AI assistance with fou...

GitHub

assemble-dialogue

HsunGong

Instructions for Stage 3 dialogue assembly, combining requests, traces, and captions into final JSON format

GitHub

skill-maintenance

xiaden

Use when creating, updating, auditing, or validating Agent Skills. Provides validation scripts and guidance for keeping skills accurate and compliant with the Agent Skills specification.

GitHub

skill-converter

Donngi

スキルを各AI Agent固有のフォーマットに変換する。「スキルを変換」「convert skill」などと言われたときに使用する

GitHub

skill-importer

rolker

Standardized procedure to import external skills (e.g. from anthropics/skills) into the workspace.

GitHub

llm-doc-writer

Aceek

Write token-efficient documentation for LLM context. Use when creating CLAUDE.md, README, technical docs, agent instructions, or any documentation consumed by AI assistants.

GitHub

humanizer

Fohlio

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written.

GitHub

agent-skills

jyasuu

Create, use, and manage Agent Skills for Claude. Use when working with Skills, creating custom capabilities, or understanding how Skills extend Claude's functionality. Covers Skill architecture, file structure,...

GitHub

growth-hacker

enisbudancamanak

Generate growth strategies and ready-to-publish marketing content for product growth. Use when planning launches, assessing product-market fit, creating marketing content, designing experiments, optimizing acti...

GitHub

rlhf-feedback

IgorGanapolsky

Autonomous RLHF feedback capture - Claude self-captures mistakes and successes

GitHub

snowtower-maintainer

Database-Tycoon

Maintains SnowTower project documentation, README, and Claude configuration. Use when updating documentation, auditing .claude folder contents, syncing README with actual project state, or reviewing agent/patte...

GitHub

video-script-generator

sungaoxiang-backend

Generate short video scripts for oral broadcast from article content. Automatically analyzes content and outputs scripts in one of three template types. Outputs style analysis report, system instruction, and re...

GitHub

collaborative-design

tatsuki-washimi

実装方針・作業内容の吟味・修正を、ユーザーとAIの会話で行う。ユーザーからの指示があるまでは、勝手にコーディング作業に取りかからない

GitHub

create-game-assets

Fohlio

Generate game assets (sprites, UI icons, backgrounds, tilesets) using DALL-E 3 from a YAML specification file. Use when user asks to create game art, generate sprites, or make game graphics.

GitHub

qdrant-expert

HafizFasih

A specialized guide for managing Qdrant Cloud collections, optimizing vector schemas for RAG, and executing precise semantic search queries in Python.

GitHub

research-agent-optimization

BenderFendor

Optimize the research agent for rate limit handling, API call efficiency, web search integration fixes, and improved streaming UX with granular progress updates and source attribution.

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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