Explorar skills
65.097 skills encontradas
10xblogger
Writing rules for clear, powerful, incarnated blog posts.
lang-typescript
TypeScript and Angular coding best practices. Use when working with TypeScript, Angular, or Node.js files: implementation, testing, refactoring, RxJS Observables, type system, strict mode, generics, and async patterns.
design-experiment-plan
Build a complete product experiment plan from a validated hypothesis, metrics, and testing assumptions. Use this skill when the user is ready to prepare an A/B test or structured product experiment for execution.
lang-go
Go coding best practices and patterns. Use when working with Go or Golang files: implementation, testing, refactoring, architectural review, goroutines, channels, interfaces, error handling, memory management, and API development.
assess-model-capabilities
Evaluate AI model capabilities, limitations, and trade-offs relevant to a product decision. Use this skill when a team needs to understand what an AI model can and cannot reliably do for their use case.
define-ai-success-metrics
Define the success metrics for an AI feature covering quality, user experience, business impact, and safety. Use this skill when an AI feature needs a complete metric framework before launch.
design-human-in-loop-workflow
Design workflows that appropriately balance AI automation with human oversight and intervention. Use this skill when a team is building an AI feature and needs to decide when and how humans stay in the loop.
evaluate-ai-quality-monitoring
Define quality criteria for AI features and set up monitoring, evaluation, and iteration loops. Use this skill when a team needs to ensure their AI feature maintains acceptable quality in production.
frame-ai-product-value
Frame the value of an AI feature in terms of user outcomes and business impact, not model capabilities. Use this skill when a team needs to articulate why an AI feature is worth building and what success looks like.
ideate-ai-features
Generate and frame AI feature ideas with clear value propositions and feasibility considerations. Use this skill when a team wants to explore AI-powered capabilities for their product.
make-model-tradeoff-decision
Structure the trade-off decision between AI models, providers, or approaches for a given product use case. Use this skill when a team needs to choose between AI options with different capability, cost, latency, and risk profiles.
run-ai-prototype-evaluation
Design and run a structured evaluation of an AI prototype to assess quality, user experience, and readiness for development. Use this skill when an AI feature prototype needs to be evaluated before committing to full development.