461 skills found Ā· Page 12 of 16
BagelHole / llm-cachingImplement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API costs by 30ā70%, cut latency, and improve throughput using Redis, GPTCache, and provider caching APIs.
BagelHole / llm-cost-optimizationReduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and self-hosting strategies. Track spend by team and model, set budgets, and implement cost-aware routing.
BagelHole / model-serving-kubernetesDeploy ML models on Kubernetes with KServe (formerly KFServing) and NVIDIA Triton Inference Server. Includes canary deployments, autoscaling, model versioning, A/B testing, and GPU resource management for production model serving.
BagelHole / llm-fine-tuningSet up infrastructure for fine-tuning LLMs with QLoRA, LoRA, and full fine-tuning using Hugging Face TRL, Axolotl, and distributed training with DeepSpeed or FSDP. Covers dataset prep, training runs, and model export.
BagelHole / llm-inference-scalingAuto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. Handle traffic spikes, implement queue-based scaling, and optimize cost with spot instances for AI workloads.
BagelHole / vllm-serverDeploy and manage vLLM for high-throughput LLM inference. Configure continuous batching, tensor parallelism, quantization, and OpenAI-compatible API endpoints for production LLM serving.
BagelHole / llm-gatewayDeploy an API gateway for LLM traffic with load balancing, rate limiting, key management, semantic caching, fallback routing, and cost tracking. Covers LiteLLM Proxy, OpenRouter-compatible setup, and custom Nginx/Traefik patterns.
BagelHole / gpu-server-managementSet up and manage NVIDIA GPU servers for AI workloads ā driver installation, CUDA toolkit, container toolkit, MIG partitioning, GPU health monitoring, and multi-GPU configuration for LLM inference and training.
matlab / matlab-train-networkTrain, evaluate, and export neural networks to Simulink in MATLAB. Migrate legacy (fitnet, patternnet) and discouraged (trainNetwork, DAGNetwork) code to modern, recommended R2024a+ APIs (trainnet, dlnetwork, testnet, imagePretrainedNetwork), diagnose and fix dlaccelerate issues or detect dlacceleraā¦
matlab / matlab-use-machine-learning-appsUse when the user wants to train, compare, or export machine learning models using Classification Learner or Regression Learner ā including opening the app, loading data, training models, evaluating metrics, comparing results, visualizing plots, testing on held-out data, exploring model interpretabiā¦
matlab / matlab-model-rfRF Toolbox and RF Blockset in MATLAB -- S-parameter I/O, network conversions (S/Z/Y/ABCD/T/H/G, mixed-mode), cascade/de-embedding, rfbudget analysis, circuit composition, matching networks, amplifier stability, mixer spurs, rational fitting, SI channels, baseband processing, Circuit Envelope simulatā¦
agentlas-ai / hephaestus-networkUse when the user types $hephaestus-network, /hep-network, or /agentlas-network, mentions @Hephaestus, or asks Agentlas to staff a durable goal from registered Local, owner Cloud, and public Hub agents or teams.
agentlas-ai / hephaestus-cloudUse when the user types /hep-cloud or /agentlas-cloud, or asks to staff from THEIR OWN Agentlas cloud packages only. Cloud is one exact source scope; Network means Local + owner Cloud + public Hub.
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hashgraph-online / falsegreen-skillLLM-based semantic analysis for false-positive test detection. This skill judges whether a test genuinely verifies correct behavior, across Python, TypeScript, JavaScript, and Robot Framework - and catches semantic patterns no static tool can see.
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hashgraph-online / foundation-models-on-deviceApple FoundationModels framework for on-device LLM ā text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
hashgraph-online / seo-dataforseoLive SEO data via DataForSEO MCP server. SERP analysis (Google, Bing, Yahoo, YouTube), keyword research (volume, difficulty, intent, trends), backlink profiles, on-page analysis (Lighthouse, content parsing), competitor analysis, content analysis, business listings, AI visibility (ChatGPT scraper, Lā¦
hashgraph-online / seo-geoOptimize content for AI Overviews (formerly SGE), ChatGPT web search, Perplexity, and other AI-powered search experiences.
hashgraph-online / exa-searchNeural search via Exa MCP for web, code, and company research
hashgraph-online / article-writingWrite articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance
nexscope-ai / cross-border-ecommerceCross-border e-commerce expansion advisor. Scores target markets on 8 weighted dimensions (market size, ecommerce penetration, competition, regulatory complexity, logistics infrastructure, payment ecosystem, cultural distance, IP protection), compares 5 fulfillment models with cost and transit data,ā¦
nexscope-ai / warehouse-optimizationE-commerce warehouse and inventory optimization advisor. Analyzes inventory health, calculates safety stock and reorder points, performs ABC analysis, evaluates fulfillment costs, and provides actionable recommendations for improving efficiency.
rampstackco / chatbot-flow-designDesigning conversational flows for website chatbots and AI agents. Intent recognition architecture, branching logic, fallback handling, escalation to human, conversation analytics.
rampstackco / seo-aeo-geoOptimize content and site structure for AI-driven search experiences including AI overviews, large language model citations, generative answer engines, and AI assistants.
taracodlabs / indian-tax-calcIndia tax calc: income, STCG/LTCG, advance tax, TDS (FY 2025-26)
taracodlabs / opencodeDelegate coding to OpenCode CLI (multi-LLM open-source coding agent)
indranilbanerjee / aeo-auditRun a one-time AEO audit of six AI answer engines, scored per surface. \"check our AI search visibility\"
indranilbanerjee / narrative-trackerTrack the brand narrative in AI engines against desired positioning, flag misstatements. \"is AI misrepresenting our brand\"
coreyhaines31 / second-brainWhen you want to capture into, compile, query, lint, or connect your personal Second Brain. Wraps the Karpathy LLM Wiki schema (Obsidian or any markdown vault) ā raw/ (unprocessed sources), wiki/ (AI-compiled interlinked topic pages), outputs/ (generated artifacts).
