Explorando:

affaan-m

La compactación estratégica es una habilidad de agente de IA que sugiere la compactación manual en intervalos lógicos para mejorar la productividad

marketcalls

Compare multiple strategies or directions (long vs short vs both) on the same symbol. Generates side-by-side stats table.

gouravsingh311

Resumen localizado: # QA Testing Strategy (Jan 2026) Risk-based quality engineering strategy for modern software delivery. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

helpful-bits

Decide whether terminal remains in Core and implement either hidden background execution or polished advanced terminal mode with explicit UX and reliability standards.

monkey1sai

Designs multi-layer caching strategy with edge CDN, server-side caching, cache invalidation, and CDN configuration. Use for caching strategy, CDN setup, cache invalidation, or performance optimization.

jidohyun

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions pricing, pricing tiers, freemium, free trial, packaging, price increase, value metric, Van Westendorp, willingness to pay, or monetization. This skill covers pricing research, tier structure, and packaging strategy.

jaydubya818

Resumen localizado: # Pricing Strategy You are an expert in SaaS pricing and monetization strategy. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

nasher721

Designs multi-layer caching strategy with edge CDN, server-side caching, cache invalidation, and CDN configuration. Use for caching strategy, CDN setup, cache invalidation, or performance optimization.

ksrae

When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions pricing, pricing tiers, freemium, free trial, packaging, price increase, value metric, Van Westendorp, willingness to pay, or monetization. This skill covers pricing research, tier structure, and packaging strategy.

yaleh

Systematic testing methodology for Go projects using TDD, coverage-driven gap closure, fixture patterns, and CLI testing. Use when establishing test strategy from scratch, improving test coverage from 60-75% to 80%+, creating test infrastructure with mocks and fixtures, building CLI test suites, or systematizing ad-hoc testing. Provides 8 documented patterns (table-driven, golden file, fixture, mocking, CLI testing, integration, helper utilities, coverage-driven gap closure), 3 automation tools (coverage analyzer 186x speedup, test generator 200x speedup, methodology guide 7.5x speedup). Validated across 3 project archetypes with 3.1x average speedup, 5.8% adaptation effort, 89% transferability to Python/Rust/TypeScript.

slior

A software system design multi-agent debate tool, implemented as an AI-Agent native application

jtdesign7277-source

Build, refactor, and review Stratify platform features while enforcing cache-first market-data flows, tab preloading, terminal-pro dark UI patterns, Vercel serverless API architecture, and production delivery conventions. Use when work touches Stratify dashboard components, API routes, strategy builder behavior, market data streaming, deployment readiness, or AI search result rendering.