Explorar skills

Extracts a reusable project template from a mature project — captures architecture, pipeline, conventions, CI/CD, Docker, testing, linting, and pitfalls into a portable template. Trigger: extract template, save as template, capture conventions, reusable template, templatize project, snapshot conventions.

Generate a production-grade Vehicle Routing Problem (VRP) solver using Google OR-Tools — supports CVRP (capacity), VRPTW (time windows), VRPPD (pickup + delivery), multi-depot, multi-trip, heterogeneous fleet, driver hours-of-service (HOS) compliance, and soft-vs-hard window constraints with penalty modeling. Input: stops CSV (lat/lng/demand/window) + vehicle config + depots. Output: optimized rou

Evaluate metric and semantic model changes for BI/reporting breakage and business meaning drift.

Optimize and stress-test a logistics system end-to-end — chains route optimization, warehouse operations review, inventory demand forecasting, supply chain risk analysis, and peak-load testing. Use for delivery platforms, warehouse management systems, fleet routing, or supply chain software.

any input (code, docs, papers, images) → knowledge graph → clustered communities → HTML + JSON + audit report. Use when the user wants to build, inspect, or query a cross-file knowledge graph from code, docs, papers, images, or videos with upstream graphify.

Use when code needs restructuring without changing observable behavior.

Side-by-side comparison of your current design against Stitch variations. Cherry-pick improvements at section-level and token-level, then delegates code changes to existing design skills. Use when: 'stitch compare', 'compare stitch designs', 'pick stitch design', 'adopt stitch changes', 'stitch diff', 'review stitch variations'.

Usar ao projetar ou usar busca de código estruturada com suporte MCP, incluindo fluxos de trabalho de busca, consulta AST, inventário de símbolos e extração limitada.

Inspect and test web UIs using screenshots, browser automation, accessibility snapshots, and console/network signals with structured visual evidence collection.

Generate a 2026-grade content brief for a target query — combines classic SERP analysis with AI Overview / Perplexity / ChatGPT citation analysis, entity recommendations (target ≥15 recognized entities), topical authority gap map, intent-mapped heading structure, internal linking targets, FAQ from PAA + Reddit + AI prompt mining, and explicit E-E-A-T requirements (author entity profile, first-part

Audit codebases for leaked secrets and hardcoded credentials, generate .env templates, configure secrets management with AWS Secrets Manager, Vault, Doppler, or GCP Secret Manager, set up credential rotation, and integrate secrets into CI/CD pipelines via OIDC federation

Use when the user provides a MarkItDown-supported file or URL and converting it to Markdown first will make inspection easier, cheaper, or more reliable.