Explorar skills

Writes a structured internal radio programme brief covering format, audience, tone, regular features, editorial aims, and production requirements for a new or relaunching show.

Builds a structured research framework for locating publicly available contact routes for a named person — including institutional channels, public profiles, press offices, and professional directories — so you know exactly where to look and in what order.

Use when user asks to create generative art, creative coding sketches, visual experiments, particle systems, shader effects, procedural graphics, interactive canvases, or any code-as-art project. Use when building animated backgrounds, flow fields, fractals, L-systems, noise-based visuals, text effects, fluid simulations, or interactive 3D scenes. Triggers on words like "generative", "sketch", "pa

Takes raw numbers you provide and calculates derived figures — percentage changes, per-capita rates, index values, or ratios — with plain-language explanations ready to drop into a story.

Use when APIs fail repeatedly with version-related errors (method not found, wrong arguments, unknown flag) or when about to use library APIs with uncertain knowledge - guides finding current, accurate documentation instead of guessing from training data

Review Jules (Google AI agent) pull requests using AI council. Supports -quick flag for lightweight reviews via parallel triage.

Review changed code for reuse, quality, and efficiency, then fix any issues found.

Generates a complete, shoot-specific packing and equipment checklist organized by category, crew role, and travel constraints.

Anima objetos, câmeras, luzes e propriedades no Blender utilizando keyframes, curvas F, easing, shape keys, drivers e ações NLA para reutilização e camadas.

Code quality check: linting, complexity analysis, duplication detection, and dead code identification. Detects project linting config, runs appropriate tools, and creates a structured GitHub issue.

Define and enforce the owner's language-agnostic clean-core architecture for new software projects and refactors. Use when deciding responsibility placement, dependency direction, structural stage, safe refactor moves, semantic types, pure policies, entrypoints, startup wiring, adapters, and dependency boundaries.

Use when an agent should remember to ask Shellbrain for targeted recall at task start, subproblem changes, repeated failures, hypothesis changes, or closeout.