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SkillsMP a collecté 863 skills depuis 420company/artemis. Ouvrez un skill pour examiner sa source et ses détails.
420company/artemisAffichage de 40 skills collectés sur 863.
Generates standalone Markdown reference documentation for QML components and applications. Use this skill whenever you want to document QML files, create API reference docs for a QML component or module, document a Qt Quick application, or produce…
Langue du texte source : anglais
Invoke when the user asks to review, check, audit, or look over Qt6 QML code -- or suggest before committing. Runs deterministic linting (47+ rules) then six parallel deep- analysis agents covering bindings, layout, loaders, delegates, states, and…
Langue du texte source : anglais
Applies QML best practices when producing or working with QML source code. Use whenever QML code is the primary subject: writing, reviewing, fixing, refactoring, optimizing, or debugging QML files, components, or bindings. Do NOT trigger for purely…
Langue du texte source : anglais
Operate Railway infrastructure: create projects, provision services and databases, manage object storage buckets, deploy code, configure environments and variables, manage domains, troubleshoot failures, check status and metrics, and query Railway docs. Use…
Langue du texte source : anglais
Retrieve public API keys for SDK initialization. Use when the user needs or asks for API keys for their iOS, Android, or web app.
Langue du texte source : anglais
Step-by-step guide for setting up an iOS or Android app in RevenueCat. Use when configuring a new app with RevenueCat.
Langue du texte source : anglais
Guided product creation for RevenueCat. Use when creating subscriptions, consumables, or one-time purchases.
Langue du texte source : anglais
Get a quick overview of your RevenueCat project configuration including apps, products, entitlements, offerings, and webhooks.
Langue du texte source : anglais
Save session state for clean continuation next session.
Langue du texte source : anglais
Retrieve public API keys for SDK initialization. Use when the user needs or asks for API keys for their iOS, Android, or web app.
Langue du texte source : anglais
Step-by-step guide for setting up an iOS or Android app in RevenueCat. Use when configuring a new app with RevenueCat.
Langue du texte source : anglais
Guided product creation for RevenueCat. Use when creating subscriptions, consumables, or one-time purchases.
Langue du texte source : anglais
Get a quick overview of your RevenueCat project configuration including apps, products, entitlements, offerings, and webhooks.
Langue du texte source : anglais
Validates dataset formatting and quality for SageMaker model fine-tuning (SFT, DPO, or RLVR). Use when the user says "is my dataset okay", "evaluate my data", "check my training data", "I have my own data", or before starting any fine-tuning job. Detects file…
Langue du texte source : anglais
Generates a Jupyter notebook that transforms datasets between ML schemas for model training or evaluation. Use when the user says "transform", "convert", "reformat", "change the format", or when a dataset's schema needs to change to match the target format —…
Langue du texte source : anglais
Manages project directory setup and artifact organization. Use when starting a new project, resuming an existing one, or when a PLAN.md needs to be associated with a project directory. Creates the project folder structure (specs/, scripts/, notebooks/) and…
Langue du texte source : anglais
Selects a base model and fine-tuning technique (SFT, DPO, or RLVR) for the user's use case by querying SageMaker Hub. Use when the user asks which model or technique to use, wants to start fine-tuning, or mentions a model name or family (e.g., "Llama",…
Langue du texte source : anglais
Generates a Jupyter notebook that fine-tunes a base model using SageMaker serverless training jobs. Use when the user says "start training", "fine-tune my model", "I'm ready to train", or when the plan reaches the finetuning step. Supports SFT, DPO, and RLVR…
Langue du texte source : anglais
Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Use when users need to collect diagnostics from HyperPod cluster nodes, generate issue…
Langue du texte source : anglais
Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to…
Langue du texte source : anglais
Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions,…
Langue du texte source : anglais
Generates a Jupyter notebook that deploys fine-tuned models from SageMaker Serverless Model Customization to SageMaker endpoints or Bedrock. Use when the user says "deploy my model", "create an endpoint", "make it available", or asks about deployment options.…
Langue du texte source : anglais
Generates python code that evaluates SageMaker models. Supports two evaluation types: LLM-as-Judge and Custom Scorer. Use when the user says "evaluate my model", "test model performance", "how did my model perform", "compare models", or other similar requests.
Langue du texte source : anglais
Discovers user intent and generates a structured, step-by-step plan for SageMaker AI model customization workflows (fine-tuning, data preparation, evaluation, deployment). Activate when the user's request relates to these areas or when the user asks to modify…
Langue du texte source : anglais
Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization…
Langue du texte source : anglais
Deploy Sanity schema to the Content Lake with verification.
Langue du texte source : anglais
Review code for Sanity best practices and common issues.
Langue du texte source : anglais
Sanity development best practices for schema design, GROQ queries, TypeGen, Visual Editing, images, Portable Text, Studio structure, localization, migrations, Sanity Functions, Blueprints, and framework integrations such as Next.js, Nuxt, Astro, Remix,…
Langue du texte source : anglais
Lists available Sanity skills and help topics.
Langue du texte source : anglais
Run Sanity TypeGen and troubleshoot type generation issues.
Langue du texte source : anglais
Generate SEO-optimized content for a specific topic or keyword. Creates a full article with title, meta description, headings, body, internal links, and schema markup.
Langue du texte source : anglais
Research and generate a complete topic plan with keyword mapping, content angle, audience targeting, and competitive positioning. Use before writing content to ensure you're targeting the right topic the right way.
Langue du texte source : anglais
Generate JSON-LD structured data / schema markup for a page. Outputs ready-to-paste schema based on the page content.
Langue du texte source : anglais
Cluster a list of keywords into topical groups mapped to content pages. Paste or provide keywords and get organized clusters with content recommendations.
Langue du texte source : anglais
Quick SEO check on the current file or page. Instantly evaluates title, meta, headings, images, and structured data for SEO best practices.
Langue du texte source : anglais
Translate and localize content for international SEO. Translates with keyword research, hreflang tags, and cultural adaptation — not just word-for-word translation.
Langue du texte source : anglais
Ask natural language questions about your Sentry environment and get detailed insights using the Sentry MCP server
Langue du texte source : anglais
Full Sentry SDK setup for Android. Use when asked to "add Sentry to Android", "install sentry-android", "setup Sentry in Android", or configure error monitoring, tracing, profiling, session replay, or logging for Android applications. Supports Kotlin and Java…
Langue du texte source : anglais
Full Sentry SDK setup for browser JavaScript. Use when asked to "add Sentry to a website", "install @sentry/browser", or configure error monitoring, tracing, session replay, or logging for vanilla JavaScript, jQuery, static sites, or WordPress.
Langue du texte source : anglais
Full Sentry SDK setup for Cloudflare Workers and Pages. Use when asked to "add Sentry to Cloudflare Workers", "install @sentry/cloudflare", or configure error monitoring, tracing, logging, crons, or AI monitoring for Cloudflare Workers, Pages, Durable…
Langue du texte source : anglais