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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

lindy-core-workflow-a

jeremylongshore

Core Lindy workflow for creating and configuring AI agents. Use when building new agents, defining agent behaviors, or setting up agent capabilities. Trigger with phrases like "create lindy agent", "build lindy...

GitHub

langchain-reference-architecture

jeremylongshore

Implement LangChain reference architecture patterns for production. Use when designing LangChain systems, implementing scalable patterns, or architecting enterprise LLM applications. Trigger with phrases like "...

GitHub

retellai-load-scale

jeremylongshore

Implement Retell AI load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Retell AI integrations. Trigger wit...

GitHub

groq-core-workflow-a

jeremylongshore

Execute Groq primary workflow: Core Workflow A. Use when implementing primary use case, building main features, or core integration tasks. Trigger with phrases like "groq main workflow", "primary task with groq...

GitHub

incident-response-planner

jeremylongshore

Incident Response Planner - Auto-activating skill for Security Advanced. Triggers on: incident response planner, incident response planner Part of the Security Advanced skill category.

GitHub

inference-latency-profiler

jeremylongshore

Inference Latency Profiler - Auto-activating skill for ML Deployment. Triggers on: inference latency profiler, inference latency profiler Part of the ML Deployment skill category.

GitHub

retellai-performance-tuning

jeremylongshore

Optimize Retell AI API performance with caching, batching, and connection pooling. Use when experiencing slow API responses, implementing caching strategies, or optimizing request throughput for Retell AI integ...

GitHub

vastai-enterprise-rbac

jeremylongshore

Configure Vast.ai enterprise SSO, role-based access control, and organization management. Use when implementing SSO integration, configuring role-based permissions, or setting up organization-level controls for...

GitHub

agent-context-loader

jeremylongshore

Execute proactive auto-loading: automatically detects and loads agents.md files. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.

GitHub

vertex-agent-builder

jeremylongshore

Build and deploy production-ready generative AI agents using Vertex AI, Gemini models, and Google Cloud infrastructure with RAG, function calling, and multi-modal capabilities. Use when appropriate context dete...

GitHub

model-export-helper

jeremylongshore

Assist with model export helper operations. Auto-activating skill for ML Deployment. Triggers on: model export helper, model export helper Part of the ML Deployment skill category. Use when working with model e...

GitHub

tensorflow-model-trainer

jeremylongshore

Tensorflow Model Trainer - Auto-activating skill for ML Training. Triggers on: tensorflow model trainer, tensorflow model trainer Part of the ML Training skill category.

GitHub

klingai-cost-controls

jeremylongshore

Implement cost controls and budget management for Kling AI. Use when managing spending limits, tracking costs, or preventing budget overruns. Trigger with phrases like 'klingai cost', 'kling ai budget', 'klinga...

GitHub

providing-performance-optimization-advice

jeremylongshore

Provide comprehensive prioritized performance optimization recommendations for frontend, backend, and infrastructure. Use when analyzing bottlenecks or seeking improvement strategies. Trigger with phrases like...

GitHub

prefect-flow-builder

jeremylongshore

Prefect Flow Builder - Auto-activating skill for Data Pipelines. Triggers on: prefect flow builder, prefect flow builder Part of the Data Pipelines skill category.

GitHub

perplexity-known-pitfalls

jeremylongshore

Identify and avoid Perplexity anti-patterns and common integration mistakes. Use when reviewing Perplexity code for issues, onboarding new developers, or auditing existing Perplexity integrations for best pract...

GitHub

streaming-inference-setup

jeremylongshore

Streaming Inference Setup - Auto-activating skill for ML Deployment. Triggers on: streaming inference setup, streaming inference setup Part of the ML Deployment skill category.

GitHub

clay-load-scale

jeremylongshore

Implement Clay load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Clay integrations. Trigger with phrases...

GitHub

incident-response-planner

jeremylongshore

Configure incident response planner operations. Auto-activating skill for Security Advanced. Triggers on: incident response planner, incident response planner Part of the Security Advanced skill category. Use w...

GitHub

klingai-pricing-basics

jeremylongshore

Manage understand Kling AI pricing, credits, and cost optimization. Use when budgeting or optimizing costs for video generation. Trigger with phrases like 'kling ai pricing', 'klingai credits', 'kling ai cost',...

GitHub

vastai-prod-checklist

jeremylongshore

Execute Vast.ai production deployment checklist and rollback procedures. Use when deploying Vast.ai integrations to production, preparing for launch, or implementing go-live procedures. Trigger with phrases lik...

GitHub

building-automl-pipelines

jeremylongshore

Build automated machine learning pipelines with feature engineering, model selection, and hyperparameter tuning. Use when automating ML workflows from data preparation through model deployment. Trigger with phr...

GitHub

tensorflow-savedmodel-creator

jeremylongshore

Create tensorflow savedmodel creator operations. Auto-activating skill for ML Deployment. Triggers on: tensorflow savedmodel creator, tensorflow savedmodel creator Part of the ML Deployment skill category. Use...

GitHub

profiling-application-performance

jeremylongshore

This skill enables Claude to profile application performance, analyzing CPU usage, memory consumption, and execution time. It is triggered when the user requests performance analysis, bottleneck identification,...

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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