Triggered when the user asks for page-level interaction with a specific webpage: login, form filling, button clicks, pagination scraping, screenshots, downloading page images, handling CAPTCHAs or anti-bot measures, accessing SPA dynamic content; also used as a fallback when WebFetch returns an empty shell or gets blocked. Typical phrasing: "log me into X then scrape Y", "take a screenshot". **Not for**: factual questions or "what is xx" (→ `WebSearch`), or simply reading static webpage text (try `WebFetch` first).

Guides RESTful API endpoint design, resource naming, status code selection, pagination structure, versioning strategy, and error response schemas. Use when the user asks about designing APIs, defining HTTP endpoints, REST conventions, API versioning, request/response formats, URL structure, OpenAPI/Swagger specs, or reviewing an existing API contract for best practices.

Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for parsing flags and subcommands, displaying progress bars and spinners, generating bash/zsh/fish completion scripts, CLI design, shell completions, and cross-platform terminal applications using commander, click, typer, or cobra.

Use when building PHP applications with modern PHP 8.3+ features, Laravel, or Symfony frameworks. Invokes strict typing, PHPStan level 9, async patterns with Swoole, and PSR standards. Creates controllers, configures middleware, generates migrations, writes PHPUnit/Pest tests, defines typed DTOs and value objects, sets up dependency injection, and scaffolds REST/GraphQL APIs. Use when working with Eloquent, Doctrine, Composer, Psalm, ReactPHP, or any PHP API development.

Build and configure Laravel 10+ applications, including creating Eloquent models and relationships, implementing Sanctum authentication, configuring Horizon queues, designing RESTful APIs with API resources, and building reactive interfaces with Livewire. Use when creating Laravel models, setting up queue workers, implementing Sanctum auth flows, building Livewire components, optimising Eloquent queries, or writing Pest/PHPUnit tests for Laravel features.

Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use when querying Jira issues with JQL filters, creating and updating tickets with custom fields, searching or editing Confluence pages with CQL, managing sprints and backlogs, setting up MCP server authentication, syncing documentation, or debugging Atlassian API integrations.

Configures monitoring systems, implements structured logging pipelines, creates Prometheus/Grafana dashboards, defines alerting rules, and instruments distributed tracing. Implements Prometheus/Grafana stacks, conducts load testing, performs application profiling, and plans infrastructure capacity. Use when setting up application monitoring, adding observability to services, debugging production issues with logs/metrics/traces, running load tests with k6 or Artillery, profiling CPU/memory bottlenecks, or forecasting capacity needs.

Implements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing.

Performs pandas DataFrame operations for data analysis, manipulation, and transformation. Use when working with pandas DataFrames, data cleaning, aggregation, merging, or time series analysis. Invoke for data manipulation tasks such as joining DataFrames on multiple keys, pivoting tables, resampling time series, handling NaN values with interpolation or forward-fill, groupby aggregations, type conversion, or performance optimization of large datasets.

Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.

Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.

Operate and automate a lossless music library with beets — intake/import loops, tagging policy, quality-ranked deduplication (WAV > FLAC > lossy), fingerprints, quarantine-not-delete policy, and library maintenance. Use whenever a task involves beet/beets commands, music library imports, tagging, dedup, fingerprinting, duplicate cleanup, lossless archive management, or beets configuration — even if the user just says "organize my music", "clean up duplicates", or "import these albums" without naming beets.

Generate and validate shareable PowerShell or Bash command references from an explicitly supplied, non-sensitive command dump. Use when maintaining agent-readable command documentation, validating its JSON contract, or regenerating Markdown/JSON/YAML references without committing personal command histories, credentials, hostnames, or private filesystem paths.

Reliably inspect, create, edit, validate, and transfer files in a Windows-hosted WSL workspace. Use when a task names a WSL path, a `\\wsl.localhost` path, a Windows/WSL project location, or when remote file writes, UNC paths, mounted workspaces, and WSL shell execution may disagree.

This skill should be used when the user asks to "sign this PDF", "fill in this form", "add my signature to", or mentions signing letters, claim forms, or contracts. Overlays a signature image, ticks checkboxes, and fills date/name/phone fields on scanned or digital PDFs using pymupdf, with OCR fallback for scanned documents.

Generate, audit, and compress AI-optimized documentation for codebases. This skill applies research-backed principles from three peer-reviewed papers to create documentation that maximizes AI agent performance instead of degrading it. Use this skill whenever the user asks to "write docs", "create a CLAUDE.md", "document a module", "audit documentation", "compress docs", "optimize docs for AI", "write module docs", "create domain documentation", "review doc quality", or mentions documentation bloat, token waste, or AI context efficiency. Also trigger when the user references "ai-docs principles", "telegram style docs", or wants to apply the "Lost in the Middle", "Less is More", or "AGENTS.md" research findings.

UX agéntico Luana v4 (post pm-redesign 2026-05 Punto 4). Diseña FLUJOS CONVERSACIONALES (no UI tradicional) para agentic-stories state=refining. Toma 01-spec.md (de /po) y produce 02-design-agentic.md en docs/product/stories/{story-id}/ con: turn-by-turn happy path, state machine agente, tools sequence, prompt slot architecture, voice constraints, error recovery, eval policy (personas+rubrics+pass^k), cost/latency budget, observabilidad. Al ratificar diseño → transition state=refining→refined. Carga skills sales-agent-expert, copilot-expert, tessl__langgraph, claude-api. Si descubre edge cases → delta-spec.md → /po ratifica. Activa cuando user dice: '/ux-agentico', 'diseñemos el flujo conversacional', 'cómo conversa el agente', 'flujo del copilot', 'turn-by-turn', 'experiencia agéntica'.

Use when designing new screens, redesigning existing UI, creating visual concepts, or improving interfaces in Nicolify. Executes a 7-phase creative Design Thinking workflow: defines user personas, frames problems, audits existing components (Shadcn UI + Tailwind CSS v4 + FSD architecture), researches SaaS UI patterns, proposes multiple distinct layout paradigms with ASCII wireframes and HTML mockups, iterates through dialogue, and delivers a complete UI-SPEC.md with component trees, data flow, responsive behavior, and interaction patterns — all following Nicolify's design tokens and codebase conventions. Triggers: 'diseña', 'rediseña', 'nueva pantalla', 'concepto visual', 'propuesta de diseño', 'UX', 'layout', 'prototipo', 'mejora la interfaz', 'wireframe', 'mockup', 'esquema de color', 'componentes de pantalla'.

Frontend specialist for Next.js 16 App Router + React 19 + Tailwind + Shadcn UI using Feature-Sliced Design Lite (domain-grouped features/, not traditional layers). Use when: creating responsive layouts, building interactive forms/dashboards, implementing dynamic routes, integrating Shadcn UI components, refactoring UI architecture, configuring Tailwind theming, wiring React Query hooks to backend APIs, or solving Server/Client Component boundaries. Triggers: 'nueva funcionalidad', 'modifica el front', 'crea un componente', 'refactoriza la UI', 'implementa layout', 'configura rutas', 'integra con la API', 'arregla el estilo'.

Full production deployment pipeline: merge development to main, run /test-all fixing all errors, commit, push to trigger GitHub Actions, and monitor the workflow until deployment completes. Use when the user says "pase a producción", "hagamos un pase", "deploy to production", "pasamos a prod", "subamos a producción", or "vamos a producción".