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Found 11,864 Skills
Generates ZK Framework ZUL pages (.zul) through a structured 4-step workflow: requirements clarification, ZUL generation, validation, and controller generation. Supports both MVC (Composer-based) and MVVM (ViewModel-based) patterns, ZK 9/10, and visual analysis for screenshot-to-ZUL conversion. Use when the user asks to create a ZUL page, build ZK UI components (forms, grids, dashboards, borderlayouts), or convert an image/mockup to ZUL code.
Manages MongoDB Atlas Stream Processing (ASP) workflows. Handles workspace provisioning, data source/sink connections, processor lifecycle operations, debugging diagnostics, and tier sizing. Supports Kafka, Atlas clusters, S3, HTTPS, and Lambda integrations for streaming data workloads and event processing. NOT for general MongoDB queries or Atlas cluster management. Requires MongoDB MCP Server with Atlas API credentials.
Configure GitLab authentication for Cyrus — glab CLI login and git config for creating merge requests.
Convert DOC, DOCX, and PDF files to TXT format. Invoke when user wants to extract text from these document types.
Discovers user intent and generates a structured, step-by-step customization plan that orchestrates other skills. Always activate at the start of every conversation, when all tasks in a plan are completed, or when the user asks to modify the current plan. Handles intent discovery, plan generation, plan iteration, and mid-execution plan alterations. When in doubt, use this skill.
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 — always use this skill for format changes rather than writing inline transformation code. Supports OpenAI chat, SageMaker SFT/DPO/RLVR, HuggingFace preference, Bedrock Nova, VERL, and custom JSONL formats from local files or S3.
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, verifying CUDA/driver compatibility, detecting version mismatches across nodes, planning upgrades, documenting cluster configuration, or troubleshooting version-related issues on HyperPod. Triggers on requests about versions, compatibility, component checks, or upgrade planning for HyperPod clusters.
Use before claiming any task is complete, any feature works, or any bug is fixed - enforces fresh verification evidence through a 5-step HARD-GATE protocol that prevents false completion claims
Use when breaking work into discrete steps, tracking progress through multi-step implementations, or managing implementation task lists. Triggers when an approved plan needs to be converted into tracked tasks, when progress reporting is needed during execution, or when checkpoint reviews are required between task batches.
Use when the user needs production-grade React/Next.js/TypeScript development with rigorous component architecture, state management, performance optimization, and >85% test coverage. Triggers: React component development, Next.js page creation, state management design, frontend performance audit, component library setup.
Use when onboarding to an existing codebase that lacks specifications — exhaustively traces code paths and produces implementation-free behavioral specifications for safe refactoring, feature addition, or legacy modernization
Use when the user needs user research methodologies, persona development, journey mapping, usability testing plans, or information architecture analysis. Triggers: user says "user research", "persona", "journey map", "usability test", "card sort", "heuristic evaluation", "information architecture", "user interview", understanding user behavior.