DevOps

Generic AIOps (AI for IT Operations) patterns and best practices for 2025. Provides comprehensive implementation strategies for intelligent monitoring, automation, incident response, and observability across any infrastructure. Framework-agnostic approach supporting multiple monitoring platforms, cloud providers, and automation tools.

Standard library Python argparse examples with subparsers, choices, actions, and nested command patterns. Use when building Python CLIs without external dependencies, implementing argument parsing, creating subcommands, or when user mentions argparse, standard library CLI, subparsers, argument validation, or nested commands.

Run and manage long-running background tasks in the shell. Use for starting processes in background, monitoring output, listing active tasks, and killing processes. Essential for dev servers, watch modes, builds, and any non-blocking operations.

Security patterns for Astro lead generation websites on Cloudflare. Forms, headers, bot protection, GDPR. Use for any production lead gen site.

Clean Architecture and SOLID principles implementation including dependency injection, layer separation, domain-driven design, hexagonal architecture, and code quality patterns

Mobile UI patterns, gestures, animations, and platform-specific design.

Generate 3D printable STL files for woodworking jigs and fixtures using CadQuery. Use when the user requests lampshade jigs, circle cutting guides, angle wedges, spacing blocks, alignment fixtures, router jigs, or any custom 3D-printed woodworking aid. Optimized for Elegoo Neptune 4 Pro (225x225x265mm build volume, 0.2mm layer height). Always use metric measurements.

Design a PostgreSQL-specific schema. Covers best-practices, data types, indexing, constraints, performance patterns, and advanced features

Implement secure, consistent input validation on both client and server sides. Use this skill when validating form inputs, API request bodies, or user-provided data. When sanitizing input to prevent injection attacks (SQL, XSS, command injection). When writing allowlist-based validation, type checking, or business rule validation. When providing field-specific error messages to users.

Phase 1 of disciplined development. Deep problem understanding before design.Maps existing systems, identifies constraints, surfaces risks, and producesa research document for human approval before proceeding.

Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.

Use when understanding external libraries, frameworks, or dependencies - provides workflows for finding and reading official documentation via Context7 instead of web search or source code reading

Repository type detection for identifying library vs consumer repositories. Analyzes directory structure, package.json dependencies, and monorepo indicators to classify repositories and detect multi-mono relationships. Returns metadata about workspace type, monorepo tool (Turborepo, nx, lerna, pnpm-workspace), and library consumption patterns. Use when agents need to adapt behavior based on repository type or validate architecture-specific patterns.

Discover and introspect SQL Server database schemas dynamically. Use this skill when you need to understand table structures, column types, primary/foreign key relationships, or when adding new entities to the extraction pipeline.

Use for project architecture, codebase structure, dependencies, components, tech stack. Explicit triggers: @map, map-ask, explore map, -map. Pre-computed maps faster than Glob for structural queries.

Complete knowledge domain for Cloudflare Workers KV - global, low-latency key-value storage on Cloudflare's edge network.Use when: creating KV namespaces, storing configuration data, caching API responses, managing user preferences,implementing TTL expiration, handling KV metadata, or encountering "KV_ERROR", "429 too many requests","kv rate limit", cacheTtl errors, or eventual consistency issues.Keywords: kv storage, cloudflare kv, workers kv, kv namespace, kv bindings, kv cache, kv ttl, kv metadata,kv list, kv pagination, cache optimization, edge caching, KV_ERROR, 429 too many requests, kv rate limit,eventually consistent, wrangler kv, kv operations, key value storage

AWS Polly TTS CLI for text-to-speech synthesis

Data import/export and validation pipeline for MyDetailArea. Handles bulk operations, CSV/Excel processing, data migration, validation rules, error handling, and audit trails. Supports vehicle inventory import, order batch updates, contact imports, and custom data transformations. Use when implementing bulk data operations, migration from legacy systems, or scheduled exports.

Apply refactoring patterns when consolidating code, extracting functions, or discussing DRY principles. Use when identifying duplicate code, planning consolidation, or discussing code organization. Auto-apply when editing files in src/ or when user mentions "duplicate", "refactor", "DRY", "extract", "consolidate", or "similar code".

Expert in modern code design standards including SOLID principles, Clean Code patterns (KISS, YAGNI, DRY, TDA), design patterns, and pragmatic software design. **ALWAYS use when designing ANY classes/modules, implementing features, fixing bugs, refactoring code, or writing functions. ** Use proactively to ensure proper design, separation of concerns, simplicity, and maintainability. Triggers - "create class", "design module", "implement feature", "refactor code", "fix bug", "is this too complex", "apply SOLID", "keep it simple", "avoid over-engineering", writing any code.