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Skills IA testing security llm ai

Découvrez les skills testing security llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: testing security llm ai

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GitHub

building-userstory

qte77

Interactive Q&A to build UserStory.md from user input. Use when the user wants to create a user story document or start the assisted workflow.

GitHub

idea-machina

Spectaculous-Code

Expert assistant for developing the IdeaMachina app - an ideas management system with CRUD, tagging, ratings, and "Continue to..." actions that convert ideas into projects, goals, workflows, or prompts. Use wh...

GitHub

kitt-create-meta-prompts

utahdws

Create optimized prompts for agent-to-agent pipelines with research, planning, and execution stages. Use when building prompts that produce outputs for other prompts to consume, or when running multi-stage work...

GitHub

ha-rest-api

dawiddutoit

Interact with Home Assistant REST API for entity discovery, state retrieval, and service calls. Use when working with Home Assistant integrations, controlling devices, querying sensor data, or automating Home A...

GitHub

context-manager

yousufjoyian

Maintain compiled context artifacts for stateless agent spawning. This skill produces BOOT_CONTEXT (stable project brain), DELTA_CONTEXT (recent changes), and feature bundles so any agent can spawn with deep un...

GitHub

voice-live

pascalvanderheiden

Implement real-time voice agent capabilities using Azure Voice Live API. Use when building conversational AI voice agents, speech-to-speech applications, real-time audio processing, voice-enabled bots, or when...

GitHub

moonshot-classify-task

munlucky

Classifies a user request into task types (feature, modification, bugfix, refactor) and extracts intent keywords. Use at the start of PM analysis.

GitHub

gemini-memory-lifecycle

abhishekmmgn

strategies for the agent memory lifecycle (Extraction, Consolidation, Retrieval). Use this to implement long-term learning and personalization beyond a single session.

GitHub

langchain-agent-builder

cnn-cnn-creatoe

基于 LangChain 框架构建 AI Agent 机器人的技能。当用户需要创建 LangChain agent、选择 agent 框架、实现工具调用、管理对话记忆或构建复杂工作流时使用此技能。涵盖 LangGraph、CrewAI、AutoGen 等热门框架,提供最佳实践、...

GitHub

minimax-mcp

AI-Original-Steak-Sauce

MiniMax MCP server integration with token-efficient AI delegation. Use for web search, image analysis, MCP server integration in terminal/desktop Claude, and Claude-MiniMax collaboration patterns. Provides work...

GitHub

team-comm-style

mps

Process team communication style assessments at the individual level. Use when analyzing "What's My Communication Style" results, creating individual profiles, or preparing coaching notes.

GitHub

kpi-calculation

profmikegreene

Calculate and track key performance indicators (KPIs) from pilot data and defined metrics. Use when deriving success metrics, benchmarking performance against objectives, or preparing quantitative reports and d...

GitHub

ralph-spec

djmittens

Write Ralph specification documents - structured feature specs with clear requirements, acceptance criteria, and implementation guidance for autonomous task execution

GitHub

mcp-python-design

HafizFasih

A strict protocol for architecting Model Context Protocol (MCP) servers using FastMCP Python SDK, enforcing Tools vs Resources separation, type safety for LLM schema generation, and context-first thinking.

GitHub

bias-and-fairness-auditing

profmikegreene

Audit pilot data, models, and workflows for bias and inclusivity issues. Use when evaluating fairness across demographic groups, identifying algorithmic biases, and recommending mitigation strategies to ensure...

GitHub

agent-framework

pascalvanderheiden

Build agentic AI solutions using Microsoft Agent Framework (Python). Use when creating AI agents, multi-agent workflows, chatbots, or assistants that need tool calling, streaming, orchestration patterns (sequen...

GitHub

tooling-strategies

abhishekmmgn

decision matrix for agent tools. Use this to choose between Extensions, Functions, and Data Stores based on security, execution location, and data type.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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