agent-skills

Fetches live model data from OpenRouter and Artificial Analysis APIs, merges benchmarks with pricing, runs deep cost analysis on usage logs, exports usage from LLM surfaces (OpenCode, VS Code, etc.), analyzes subscription efficiency, and forecasts future spend with cheaper-model alternatives. Use when comparing LLM costs or quality, analyzing total API spend from usage logs, exporting agent usage for cost analysis, evaluating subscription cost efficiency, forecasting future LLM costs, finding cheaper alternatives, or when the user asks about model pricing, intelligence index, speed, or token costs across providers.

Genera documentos académicos en formato APA 7 (estudiante) con validación estricta de citas y salida en PDF vía Typst. Usa cuando el usuario necesita validar referencias, formatear bibliografía, componer un paper con estructura IMRaD, o compilar un documento académico a PDF.

Extrae información de cursos Moodle Uniremington y organiza estructura de carpetas local. Usa cuando necesites inicializar cursos, sincronizar contenido o verificar estado de un curso vs Moodle.

Proactive version control strategy for AI agents. Creates worktrees, commits at plan checkpoints with conventional commits, merges at plan completion. Use when starting any development session that involves code changes. Load at session start and keep in context permanently.

Generate software architecture diagrams, flowcharts, sequence diagrams, block diagrams, C4 models, ER schemas, Sankey flows, state machines, GitGraphs, timelines, and more using Mermaid (v11+) with ELK layout engine. Renders SVG, PNG, and ASCII art via beautiful-mermaid. Use when users ask to diagram, visualize, or map software concepts, system architecture, data flows, processes, or database schemas.

Busca artículos académicos usando EXA, Semantic Scholar y Google Scholar. Usa cuando el usuario necesita encontrar fuentes para un paper, revisar literatura, o dice "busca papers sobre...", "encuentra artículos de...", "qué investigaciones hay sobre...".

The definitive framework for creating, optimizing, and auditing AI agent skills. Uses Test-Driven Development loops with XML prompt-based evaluation. Use when creating a new skill, improving an existing skill's trigger rate, or auditing a skill for structural/security issues.

Task and list management in ClickUp via the official API. Use when creating tasks, updating dates, searching activities, and managing lists.