914 skills found · Page 17 of 31
brycewang-stanford / acl-related-workUse when positioning an ACL submission against the NLP literature, covering ACL Anthology citation practice, arXiv-versus-published version citation, concurrent LLM-era preprints, prior-cycle ARR resubmission overlap, anonymity-preserving self-citation, and the fast-moving baseline problem in comput…
brycewang-stanford / acl-reproducibilityUse when strengthening reproducibility evidence for an ACL paper reviewed through ACL Rolling Review, covering the Responsible NLP checklist end to end, hyperparameter and compute reporting, prompt and decoding disclosure for LLM experiments, data contamination auditing, variance across runs, and ch…
brycewang-stanford / acl-writing-styleUse when revising an ACL paper for computational-linguistics house style, covering task-first framing, linguistic examples tied to quantitative error analysis, scoping language claims to tested languages, LLM-era claim discipline, anonymous self-reference, Limitations prose, and compressing into the…
brycewang-stanford / aistats-artifact-evaluationUse when packaging AISTATS code, data, proofs, simulation scripts, notebooks, random seeds, and logs as anonymous supplementary evidence or public post-acceptance artifacts, even when there is no separate artifact badge.
brycewang-stanford / aistats-topic-selectionUse when deciding whether a project is a strong AISTATS fit, comparing AISTATS with NeurIPS, ICML, ICLR, UAI, COLT, JMLR, statistics journals, or application venues, identifying the statistical primitive of the contribution, and sharpening the AI-statistics framing before writing begins.
fcakyon / mongodb-search-and-aiGuides MongoDB users through implementing and optimizing Atlas Search (full-text), Vector Search (semantic), and Hybrid Search solutions.
fcakyon / debugging-livekit-agentsDrives a multi-turn conversation with a LiveKit agent running locally to see what it does
fcakyon / testing-livekit-agentsWrites turn-level tests for a LiveKit agent in the user''s normal test suite: pytest (Python) or Vitest (Node.js)
MoizIbnYousaf / best-practicesTransforms vague prompts into optimized Claude Code prompts. Adds verification, specific context, constraints, and proper phasing. Invoke with /best-practices.
dpearson2699 / natural-languageTokenize, tag, and analyze natural language text using Apple's NaturalLanguage framework and translate between languages with the Translation framework
dpearson2699 / vision-frameworkImplement computer vision features including text recognition (OCR), face detection, barcode scanning, image segmentation, object tracking, and document scanning in iOS apps.
dpearson2699 / apple-on-device-aiBuild private, on-device AI features on iPhone, iPad, and Mac with Foundation Models, Core ML, MLX Swift, or llama.cpp
dpearson2699 / paperkitAdd drawings, shapes, and a consistent markup experience using PaperKit
Spark-To-Paper-Skills / ts-figure-optimizeThe suite's SOLE figure vectorizer: turn ONE raster scientific figure (a PNG/JPG, e.g. a gpt-image-2 schematic) into an editable, publication-ready figure via DrawAI's **key-free HYBRID** — local perception (SAM3 region detection + PaddleOCR + Box-IR layout, no account) then a deterministic hybrid b…
Spark-To-Paper-Skills / ts-kg-buildBuild a reusable research-PATTERN knowledge graph from a paper corpus, so ts-idea2story can recall prior problem→solution→story patterns.
TencentCloudBase / ai-model-nodejsUse this skill for Node.js backend AI via @cloudbase/node-sdk (>=3.16.0) — cloud functions, CloudRun, Express/Koa/NestJS, serverless APIs, scheduled jobs, LLM proxies, agent orchestration. The only SDK supporting image generation (ai.createImageModel + generateImage).
atlassian / atlassian-mcp-serverOfficial remote MCP server for Atlassian. Securely connect Jira, Confluence, Jira Service Management, Bitbucket, and Compass to Claude, ChatGPT, Cursor, VS Code, and other AI tools using OAuth 2.1 or API tokens.
higgsfield-ai / higgsfield-generateGenerate images/videos/3D assets/audio via Higgsfield AI. Defaults: GPT Image 2.5 for image/design/text, Seedance 2.5 for video, Nano Banana 2 for cartoon characters, Marketing Studio for ads, Seed Audio 1.0 for audio.
higgsfield-ai / higgsfield-product-photoshootGenerate brand-quality product images through Higgsfield product-photoshoot prompt enhancement on GPT Image 2 / gpt_image_2. Entry point for professional brand/product visuals.
BagelHole / ai-sre-incident-responseBuild AI-focused SRE incident response practices for LLM outages, degraded quality, runaway cost events, and safety regressions.
BagelHole / llm-cachingImplement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API costs by 30–70%, 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 — 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 dlaccelera…
matlab / matlab-use-machine-learning-appsUse when the user wants to train, compare, or export machine learning models using Classification Learner or Regression Learner — including opening the app, loading data, training models, evaluating metrics, comparing results, visualizing plots, testing on held-out data, exploring model interpretabi…
