scaling AI Agent Skills
Browse 360 skills related to scaling
spark-optimization
wshobsonOptimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.
vector-index-tuning
wshobsonOptimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
product-strategist
davila7Strategic product leadership toolkit for Head of Product including OKR cascade generation, market analysis, vision setting, and team scaling. Use for strategic planning, goal alignment, competitive analysis, and organizational design.
modal-serverless-gpu
davila7Serverless GPU cloud platform for running ML workloads. Use when you need on-demand GPU access without infrastructure management, deploying ML models as APIs, or running batch jobs with automatic scaling.
tensorrt-llm
davila7Optimizes LLM inference with NVIDIA TensorRT for maximum throughput and lowest latency. Use for production deployment on NVIDIA GPUs (A100/H100), when you need 10-100x faster inference than PyTorch, or for serving models with quantization (FP8/INT4), in-flight batching, and multi-GPU scaling.
notion-template-business
davila7Expert in building and selling Notion templates as a business - not just making templates, but building a sustainable digital product business. Covers template design, pricing, marketplaces, marketing, and scaling to real revenue. Use when: notion template, sell templates, digital product, notion business, gumroad.
moe-training
davila7Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.
pinecone
davila7Managed vector database for production AI applications. Fully managed, auto-scaling, with hybrid search (dense + sparse), metadata filtering, and namespaces. Low latency (<100ms p95). Use for production RAG, recommendation systems, or semantic search at scale. Best for serverless, managed infrastructure.
knowledge-distillation
davila7Compress large language models using knowledge distillation from teacher to student models. Use when deploying smaller models with retained performance, transferring GPT-4 capabilities to open-source models, or reducing inference costs. Covers temperature scaling, soft targets, reverse KLD, logit distillation, and MiniLLM training strategies.
slime-rl-training
davila7Provides guidance for LLM post-training with RL using slime, a Megatron+SGLang framework. Use when training GLM models, implementing custom data generation workflows, or needing tight Megatron-LM integration for RL scaling.
modal
davila7Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
cto-advisor
davila7Technical leadership guidance for engineering teams, architecture decisions, and technology strategy. Includes tech debt analyzer, team scaling calculator, engineering metrics frameworks, technology evaluation tools, and ADR templates. Use when assessing technical debt, scaling engineering teams, evaluating technologies, making architecture decisions, establishing engineering metrics, or when user mentions CTO, tech debt, technical debt, team scaling, architecture decisions, technology evaluation, engineering metrics, DORA metrics, or technology strategy.
server-management
davila7Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.
telegram-bot-builder
davila7Expert in building Telegram bots that solve real problems - from simple automation to complex AI-powered bots. Covers bot architecture, the Telegram Bot API, user experience, monetization strategies, and scaling bots to thousands of users. Use when: telegram bot, bot api, telegram automation, chat bot telegram, tg bot.
vector-index-tuning
sickn33Optimize vector index performance for latency, recall, and memory. Use when tuning HNSW parameters, selecting quantization strategies, or scaling vector search infrastructure.
spark-optimization
sickn33Optimize Apache Spark jobs with partitioning, caching, shuffle optimization, and memory tuning. Use when improving Spark performance, debugging slow jobs, or scaling data processing pipelines.
AgentDB Performance Optimization
ruvnetOptimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors.
Swarm Orchestration
ruvnetOrchestrate multi-agent swarms with agentic-flow for parallel task execution, dynamic topology, and intelligent coordination. Use when scaling beyond single agents, implementing complex workflows, or building distributed AI systems.
modal
K-Dense-AIRun Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
muapi-media-editing
SamurAIGPTEdit and enhance images and videos with AI via muapi.ai — prompt-based editing, upscaling, background removal, face swap, lipsync, video effects, and more
product-strategist
alirezarezvaniStrategic product leadership toolkit for Head of Product including OKR cascade generation, market analysis, vision setting, and team scaling. Use for strategic planning, goal alignment, competitive analysis, and organizational design.
k8s-autoscaling
openclawConfigure Kubernetes autoscaling with HPA, VPA, and KEDA. Use for horizontal/vertical pod autoscaling, event-driven scaling, and capacity management.
websocket-engineer
openclawUse when building real-time communication systems with WebSockets or Socket.IO. Invoke for bidirectional messaging, horizontal scaling with Redis, presence tracking, room management.
venice-ai-media
openclawGenerate, edit, and upscale images; create videos from images via Venice AI. Supports text-to-image, image-to-video (Sora, WAN), upscaling, and AI editing.
runware
openclawGenerate images and videos via Runware API. Access to FLUX, Stable Diffusion, Kling AI, and other top models. Supports text-to-image, image-to-image, upscaling, text-to-video, and image-to-video. Use when generating images, creating videos from prompts or images, upscaling images, or doing AI image transformation.
kubernetes
openclawComprehensive Kubernetes and OpenShift cluster management skill covering operations, troubleshooting, manifest generation, security, and GitOps. Use this skill when: (1) Cluster operations: upgrades, backups, node management, scaling, monitoring setup (2) Troubleshooting: pod failures, networking issues, storage problems, performance analysis (3) Creating manifests: Deployments, StatefulSets, Services, Ingress, NetworkPolicies, RBAC (4) Security: audits, Pod Security Standards, RBAC, secrets management, vulnerability scanning (5) GitOps: ArgoCD, Flux, Kustomize, Helm, CI/CD pipelines, progressive delivery (6) OpenShift-specific: SCCs, Routes, Operators, Builds, ImageStreams (7) Multi-cloud: AKS, EKS, GKE, ARO, ROSA operations
k8s-capi
openclawCluster API lifecycle management for provisioning, scaling, and upgrading Kubernetes clusters. Use when managing cluster infrastructure or multi-cluster operations.
flyio-cli
openclawUse the Fly.io flyctl CLI for deploying and operating apps on Fly.io. Default to read-only diagnostics (status/logs/config/releases). Only perform state-changing operations (deploys, SSH exec, secrets, scaling, machines, volumes, Postgres changes) with explicit user approval. Use when asked to deploy to Fly.io, debug fly deploy/build/runtime failures, set up GitHub Actions deploys/previews, or safely manage Fly apps and Postgres.
mongodb-atlas-admin
openclawManage MongoDB Atlas clusters, projects, users, backups, and alerts via the Atlas Admin API v2. Use when: (1) Creating, scaling, or deleting Atlas clusters, (2) Managing database users and IP access lists, (3) Configuring backups, snapshots, and restore jobs, (4) Setting up alerts and monitoring, (5) Managing projects and organizations, (6) Viewing cluster metrics and logs. Requires Atlas API keys (public/private) or service account credentials.
azure-microsoft-playwright-testing-ts
microsoftRun Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipelines, or publishing test results to the Azure portal.
azure-mgmt-fabric-dotnet
microsoftAzure Resource Manager SDK for Fabric in .NET. Use for MANAGEMENT PLANE operations: provisioning, scaling, suspending/resuming Microsoft Fabric capacities, checking name availability, and listing SKUs via Azure Resource Manager. Triggers: "Fabric capacity", "create capacity", "suspend capacity", "resume capacity", "Fabric SKU", "provision Fabric", "ARM Fabric", "FabricCapacityResource".
azure-mgmt-fabric-dotnet
Azure Resource Manager SDK for Fabric in .NET. Use for MANAGEMENT PLANE operations: provisioning, scaling, suspending/resuming Microsoft Fabric capacities, checking name availability, and listing SKUs via Azure Resource Manager. Triggers: "Fabric capacity", "create capacity", "suspend capacity", "resume capacity", "Fabric SKU", "provision Fabric", "ARM Fabric", "FabricCapacityResource".
azure-microsoft-playwright-testing-ts
Run Playwright tests at scale using Azure Playwright Workspaces (formerly Microsoft Playwright Testing). Use when scaling browser tests across cloud-hosted browsers, integrating with CI/CD pipelines, or publishing test results to the Azure portal.
windsurf-load-scale
Implement Windsurf load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Windsurf integrations. Trigger with phrases like "windsurf load test", "windsurf scale", "windsurf performance test", "windsurf capacity", "windsurf k6", "windsurf benchmark".
langfuse-performance-tuning
Optimize Langfuse tracing performance for high-throughput applications. Use when experiencing latency issues, optimizing trace overhead, or scaling Langfuse for production workloads. Trigger with phrases like "langfuse performance", "optimize langfuse", "langfuse latency", "langfuse overhead", "langfuse slow".
exa-load-scale
Implement Exa load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Exa integrations. Trigger with phrases like "exa load test", "exa scale", "exa performance test", "exa capacity", "exa k6", "exa benchmark".
replit-load-scale
Implement Replit load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Replit integrations. Trigger with phrases like "replit load test", "replit scale", "replit performance test", "replit capacity", "replit k6", "replit benchmark".
perplexity-load-scale
Implement Perplexity load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Perplexity integrations. Trigger with phrases like "perplexity load test", "perplexity scale", "perplexity performance test", "perplexity capacity", "perplexity k6", "perplexity benchmark".
customerio-load-scale
Implement Customer.io load testing and scaling. Use when preparing for high traffic, load testing, or scaling integrations for enterprise workloads. Trigger with phrases like "customer.io load test", "customer.io scale", "customer.io high volume", "customer.io performance test".
firecrawl-load-scale
jeremylongshoreImplement FireCrawl load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for FireCrawl integrations. Trigger with phrases like "firecrawl load test", "firecrawl scale", "firecrawl performance test", "firecrawl capacity", "firecrawl k6", "firecrawl benchmark".
clay-load-scale
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 like "clay load test", "clay scale", "clay performance test", "clay capacity", "clay k6", "clay benchmark".
supabase-load-scale
Implement Supabase load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Supabase integrations. Trigger with phrases like "supabase load test", "supabase scale", "supabase performance test", "supabase capacity", "supabase k6", "supabase benchmark".
openrouter-load-balancing
Execute distribute requests across multiple OpenRouter configurations. Use when scaling or implementing geographic distribution. Trigger with phrases like 'openrouter load balance', 'distribute requests', 'openrouter scaling', 'multi-key openrouter'.
analyzing-capacity-planning
jeremylongshoreExecute this skill enables AI assistant to analyze capacity requirements and plan for future growth. It uses the capacity-planning-analyzer plugin to assess current utilization, forecast growth trends, and recommend scaling strategies. Use this skill when the user needs to analyze code or data. Trigger with phrases like 'analyze', 'review', or 'examine'.
evernote-performance-tuning
jeremylongshoreOptimize Evernote integration performance. Use when improving response times, reducing API calls, or scaling Evernote integrations. Trigger with phrases like "evernote performance", "optimize evernote", "evernote speed", "evernote caching".
vercel-load-scale
Implement Vercel load testing, auto-scaling, and capacity planning strategies. Use when running performance tests, configuring horizontal scaling, or planning capacity for Vercel integrations. Trigger with phrases like "vercel load test", "vercel scale", "vercel performance test", "vercel capacity", "vercel k6", "vercel benchmark".
retellai-load-scale
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 with phrases like "retellai load test", "retellai scale", "retellai performance test", "retellai capacity", "retellai k6", "retellai benchmark".
configuring-auto-scaling-policies
jeremylongshoreThis skill configures auto-scaling policies for applications and infrastructure. It generates production-ready configurations based on user requirements, implementing best practices for scalability and security. Use this skill when the user requests help with auto-scaling setup, high availability, or dynamic resource allocation, specifically mentioning terms like "auto-scaling," "HPA," "scaling policies," or "dynamic scaling." This skill provides complete configuration code for various platforms.
