Explorar skills

Look up Godot engine class APIs — methods, properties, signals, enums. Use when you need to find which class to use or look up specific API details. Supports version-specific docs — reads the correct API for the project's Godot version.

Visual quality assurance: analyze game screenshots for defects, compare against reference, check motion in frame sequences. Supports runtime-native inspection plus Gemini or OpenAI API-backed VQA.

Build production-ready frontend components with accessible markup, sensible props, defined states, and tested behavior. Use this skill whenever the user wants to build a component from scratch, refactor an existing one, design a component API, or implement a UI element with proper states and accessibility. Triggers on build a component, create a button, create a modal, create a form input, compone

Evaluate-Loop Step 4: EVALUATE EXECUTION. This is the dispatcher agent — it determines the track type and invokes the correct specialized evaluator. Does NOT run a generic checklist. Instead dispatches to: eval-ui-ux (screens/design), eval-code-quality (features/infrastructure), eval-integration (APIs/auth/payments), eval-business-logic (generator/rules/state). Triggered by: 'evaluate execution',

Specialized integration evaluator for the Evaluate-Loop. Use this for evaluating tracks that integrate external services — Supabase auth/DB, Stripe payments, Gemini API, third-party APIs. Checks API contracts, auth flows, data persistence, error recovery, environment config, and end-to-end flow integrity. Dispatched by loop-execution-evaluator when track type is 'integration', 'auth', 'payments',

Specialized code quality evaluator for the Evaluate-Loop. Use this for evaluating code implementation tracks where the deliverable is functional code — features, API routes, state management, utilities. Checks build integrity, type safety, code patterns, error handling, dead code, imports, test coverage, and naming conventions. Dispatched by loop-execution-evaluator when track type is 'feature', '

Review code for bugs, security vulnerabilities, API misuse, consistency issues, simplicity problems, or test coverage gaps by running internal reviews and a peer review in parallel and returning combined findings. Single-concern with a type argument, or full review with no argument. Use when the user asks to \"review my code\", \"full code review\", \"review my changes\", \"check for bugs\", \"sca

Review code for bugs, security vulnerabilities, API misuse, consistency issues, simplicity problems, or test coverage gaps by running internal reviews and a peer review in parallel and returning combined findings. Single-concern with a type argument, or full review with no argument. Use when the user asks to \"review my code\", \"full code review\", \"review my changes\", \"check for bugs\", \"sca

Deep architecture report that fans out parallel inspections across different aspects of the codebase (structure, tech stack, APIs, patterns, data flow, dependencies, testing) and synthesizes findings into a comprehensive document at .turbo/codebase-map.md and .turbo/codebase-map.html. Use when the user asks to \"map the codebase\", \"map codebase\", \"architecture report\", \"codebase overview\",

Deep architecture report that fans out parallel inspections across different aspects of the codebase (structure, tech stack, APIs, patterns, data flow, dependencies, testing) and synthesizes findings into a comprehensive document at .turbo/codebase-map.md and .turbo/codebase-map.html. Use when the user asks to \"map the codebase\", \"map codebase\", \"architecture report\", \"codebase overview\",

Manter e estender o AFM (maclocal-api), um servidor LLM local compatível com OpenAI em Swift e CLI para Apple Foundation Models, modelos MLX, proxy de gateway de API e OCR de Visão. Ele suporta comandos CLI do AFM, comportamento da API OpenAI, streaming, chamada de ferramentas e saídas estruturadas.

Execute autonomous multi-step research using Google Gemini Deep Research Agent. Use for: market analysis, competitive landscaping, literature reviews, technical research, due diligence. Takes 2-10 minutes but produces detailed, cited reports. Costs $2-5 per task.