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Found 1,936 Skills
Use this skill when users need to create, generate, or validate Salesforce Custom Field metadata. Trigger when users mention custom fields, field types, Roll-up Summary fields, Master-Detail relationships, Lookup relationships, formula fields, picklists, dependent (controlling) picklists, referencing a value set from a field, or scoping/limiting picklist values for a specific record type. Also use when users encounter field deployment errors, especially around Roll-up Summary format, Master-Detail constraints, formula issues, or a record type that won't deploy without a business process. Use this skill for custom field metadata work, field generation, and field troubleshooting. DO NOT TRIGGER for creating or customizing the value set itself — defining a new GlobalValueSet, or modifying a StandardValueSet catalog like Industry or Lead Source — use platform-value-set-generate instead; this skill covers the field that references a value set, not the value set definition.
Infrastructure deployment for online novel writing toolset. Deploy infrastructure such as hooks/rules/agents/CLAUDE.md to the user's project directory. Trigger methods: /story-setup, "Prepare to write a book", "Help me set up the environment", "Configure writing project"
Comprehensive guide to Istio traffic management for production service mesh deployments.
Complete the full loop of "Data → Fine-tuning Training → Export → Deployment → Inference" using Bailian CLI (`bl`), or deploy base models directly without training. Supports fine-tuning of text models (SFT/DPO/CPT), audio TTS models (CosyVoice), and image generation models (Wan2.7). Covers dataset validation/upload, creating fine-tuning tasks, waiting for training completion, exporting the best checkpoint, creating inference deployments, waiting for readiness, and providing inference examples. This skill should be activated when users mention actions like "training models", "fine-tuning", "fine-tune", "finetune", "deploying models", "model launch", "running/calling fine-tuned models", "training an inference model", "continuing pre-training", "LoRA/SFT/DPO training", "speech synthesis models", "TTS fine-tuning", "CosyVoice", "voice cloning", "image generation fine-tuning", "text-to-image", "image-to-image", "Wan2.7", "image model training" on Bailian / DashScope / Alibaba Cloud Model Studio — even if users don't explicitly mention "using bl", as long as the intention is training or deployment on the Bailian platform, use this skill and do not assemble commands on your own.
Expert knowledge for Azure Lab Services development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring lab plans, VM templates/schedules, VNet-integrated labs, GPU/nested virtualization, or Canvas/Teams integration, and other Azure Lab Services related development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Desktop (use azure-virtual-desktop).
Laravel security best practices for authn/authz, validation, CSRF, mass assignment, file uploads, secrets, rate limiting, and secure deployment.
Expert AI/ML engineer specializing in machine learning model development, deployment, and integration into production systems. Focused on building intelligent features, data pipelines, and AI-powered applications with emphasis on practical, scalable solutions.
Build Unity games with optimized C# scripts, efficient rendering, and proper asset management. Masters Unity 6 LTS, URP/HDRP pipelines, and cross-platform deployment. Handles gameplay systems, UI implementation, and platform optimization. Use PROACTIVELY for Unity performance issues, game mechanics, or cross-platform builds.
Use this skill when users need to create, generate, or validate a Salesforce global value set or customize a standard value set. Trigger when users mention a global value set, GlobalValueSet, standard value set, StandardValueSet, a reusable picklist, a picklist value set shared across fields, or customizing standard picklists like Industry, Lead Source, or Opportunity Stage. Also use when users hit deployment errors adding values to a standard picklist, referencing a value set from a custom field, or working with .globalValueSet-meta.xml or .standardValueSet-meta.xml files. DO NOT TRIGGER for an inline one-off picklist on a single field with no reuse, or for general custom field metadata work that does not involve a GlobalValueSet or StandardValueSet — use platform-custom-field-generate instead.
SEO drift monitoring: capture baselines of SEO-critical elements, detect changes, and track regressions over time. Git for SEO — baseline, diff, and track changes to your on-page SEO. Use when user says "SEO drift", "baseline", "track changes", "did anything break", "SEO regression", "compare SEO", "before and after", "monitor SEO changes", or "deployment check".
Pre-deployment checks for router and switch configuration, including dangerous commands, duplicate addresses, subnet overlaps, stale references, management-plane risk, and IOS-style security hygiene.
Master Temporal workflow orchestration with Python SDK. Implements durable workflows, saga patterns, and distributed transactions. Covers async/await, testing strategies, and production deployment. Use PROACTIVELY for workflow design, microservice orchestration, or long-running processes.