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Found 5,822 Skills
Use when "scikit-learn", "sklearn", "machine learning", "classification", "regression", "clustering", or asking about "train test split", "cross validation", "hyperparameter tuning", "ML pipeline", "random forest", "SVM", "preprocessing"
Эксперт по документам с руководящими принципами бренда. Используй для создания brand books, style guides, visual standards и brand identity documentation.
Comprehensive framework for evaluating AI vendors and solutions to avoid costly mistakes. Use this skill when assessing AI vendor proposals, conducting due diligence, evaluating contracts, comparing vendors, or making build-vs-buy decisions. Helps identify red flags, assess pricing models, evaluate technical capabilities, and conduct structured vendor comparisons.
Strict JSON:API v1.1 specification compliance. Trigger: When creating or modifying API endpoints, reviewing API responses, or validating JSON:API compliance.
Generate comprehensive service decommission documentation
Use when you have confirmed the scope of Discover (P0/P1/P2), and now need to quickly build the Level-0 North Star (memory) and Level-1 map layer index skeleton (components/products) under `.aisdlc/project/`, so that you can supplement evidence by module later without double writing and drift.
Write Project Guardrails, i.e. project engineering specifications. Applicable scenarios: when you need to define frontend, backend, API, data, security, operation and maintenance, and release standards during new project launch, tech stack change, multi-team collaboration, incident review, or code specification drift.
Sheety integration. Manage data, records, and automate workflows. Use when the user wants to interact with Sheety data.
Improve prompts with design specs and UI/UX vocabulary. Useful for design-to-code workflows and clarifying requests for visual output.
Define what content a product needs, how it should be structured, and who owns it.
Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms. Use PROACTIVELY for data pipeline design, analytics infrastructure, or modern data stack implementation.
Use when users request generating unit tests for Qt modules or classes, completing test cases, or creating test files. Supports module batch generation and incremental completion.