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Found 5,503 Skills
Guía para generar mensajes de commit en español siguiendo Conventional Commits estrictos con Emojis. Usa esta skill siempre que el usuario pida hacer un commit, generar un mensaje de commit, commitear cambios, o cuando se complete un cambio de código y sea momento de registrarlo en git. También se activa con 'commit', 'commitear', 'guardar cambios', 'registrar cambios' o cualquier intención de crear un punto en el historial de git.
Audit frontend dApp components for security vulnerabilities in wallet integration and transaction handling. Use when reviewing React/TypeScript dApps using sdk-dapp, or assessing client-side security.
Under the assumption that the US dollar or a certain currency loses its reserve status and gold becomes the only anchor, deduce the 'implied gold price that the balance sheet can withstand' by dividing central bank monetary liabilities by gold reserves, and output the leverage level, gap and ranking of each country or currency.
Use when building SwiftUI views, managing state with @State/@Binding/@ObservableObject, or implementing declarative UI patterns in iOS apps.
Structure what you're building and why now. Use when organizing products into capability blocks, creating bet backlogs, building roadmaps, or writing solution briefs. Part of the Modern Product Operating Model collection.
Comprehensive research combining web search and AI synthesis. Use for deep research on topics, comparing technologies, investigating libraries, and finding GitHub issues related to problems.
This skill should be used when adding error tracking and performance monitoring with Sentry and OpenTelemetry tracing to Next.js applications. Apply when setting up error monitoring, configuring tracing for Server Actions and routes, implementing logging wrappers, adding performance instrumentation, or establishing observability for debugging production issues.
Build systems and organizations using the "Tao of HashiCorp". Emphasizes workflows over technologies, simple modular composable tools, immutability, and versioning driven by code. Use when designing platform engineering initiatives, DevOps workflows, or infrastructure automation.
Find every way users can break your AI before they do. Use when you need to red-team your AI, test for jailbreaks, find prompt injection vulnerabilities, run adversarial testing, do a safety audit before launch, prove your AI is safe for compliance, stress-test guardrails, or verify your AI holds up against adversarial users. Covers automated attack generation, iterative red-teaming with DSPy, and MIPROv2-optimized adversarial testing.
Make your AI follow rules and policies. Use when your AI breaks format rules, violates content policies, ignores business constraints, outputs invalid JSON, exceeds length limits, includes forbidden content, or doesn't comply with your specifications. Covers DSPy Assert/Suggest for hard and soft rules, content policies, format enforcement, retry mechanics, and composing multiple constraints.
Chain multiple AI steps into one reliable pipeline. Use when your AI task is too complex for one prompt, you need to break AI logic into stages, combine classification then generation, do multi-step reasoning, build a compound AI system, orchestrate multiple models, or wire AI components together. Powered by DSPy multi-module pipelines.
Reduce your AI API bill. Use when AI costs are too high, API calls are too expensive, you want to use cheaper models, optimize token usage, reduce LLM spending, route easy questions to cheap models, or make your AI feature more cost-effective. Covers DSPy cost optimization — cheaper models, smart routing, per-module LMs, fine-tuning, caching, and prompt reduction.