Explorar skills

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: \"Why is X failing?\", \"Where does this error come from?\", \"Trace this bug\"

Use when you want to surface accumulated technical debt — scans for TODOs, deprecated APIs, dead code, and code quality issues. Produces a prioritized list with age and estimated effort. Run periodically or before planning a refactor sprint.

Plan and execute a stakeholder alignment process for a product decision or initiative. Use this skill when a team needs to build genuine alignment — not just sign-off — across multiple stakeholders.

Gere vídeos explicativos animados em 2D para projetos de código aberto, entregues em MP4, GIF e código-fonte Remotion editável. Ideal para vídeos de demonstração, explicativos ou de anúncio de recursos.

Use when fixing a bug, unexpected behavior, or test failure. Investigation-first TDD loop that traces root cause before touching code.

Use before implementing a complex, high-stakes, or cross-cutting feature — produces a full technical specification including data model, API contract, edge cases, and open questions. The planning layer above /plan. Invoke this when /plan alone isn't detailed enough.

Structure the trade-off decision between addressing technical debt and delivering new product value. Use this skill when a team needs to make explicit, principled decisions about when and how to invest in technical debt reduction.

Define non-functional requirements (performance, security, scalability, accessibility, compliance) for a product initiative. Use this skill when product requirements are functional but non-functional constraints haven't been specified.

Gere planos de negociação estruturados com níveis de entrada, stop-loss e take-profit, baseados em dados técnicos e fundamentais da API Finskills.

Analyze an AI-generated video clip against the prompt that produced it. Detects canon rule violations, emotion/energy/world mismatches, palette drift, and quality issues, then suggests specific prompt fixes to improve the next generation. Use whenever the user has a Veo, Seedance, Kling, Runway, or other AI-generated clip and asks "why does this look wrong", "check the clip", "check this clip", "p

Generate native-quality iOS/macOS mockup PNGs using SwiftUI Preview rendering. Use when designing Apple platform UIs, creating native app mockups, or running /mockup-swift.