prompt-estruturado
A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.
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271 skills found
A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.
A macOS UI automation CLI that enables agents to capture screens, target UI elements, manage applications, and execute cross-app workflows with JSON-based scripting.
A color-coded, real-time context usage progress bar for the Claude Code statusline and manual on-demand checks.
High-performance Solana meme coin trading for AI agents: sniping, MEV-protected execution, rug detection, and automated position management.
Autonomous multi-agent LinkedIn system using LangGraph and Claude Opus 4.5 for trend research, content creation, voice profiling, and analytics-driven optimization.
Build $50k-grade frontend interfaces with production-ready code, professional typography, and high-fidelity image integration.
Develop, test, sign, and publish governance plugins for Memoria using Rhai or gRPC runtimes. Manage the full plugin lifecycle from scaffolding to activation.
Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.
Diagnose, isolate, and mitigate LLM context failures like lost-in-middle, poisoning, distraction, and context clash to improve agent reliability.
Expert guidance for configuring FeatBit observability via OpenTelemetry. Use for setting up metrics, logs, traces, and connecting OTEL backends like Seq, Jaeger, or Prometheus for FeatBit backend monitoring.
Initialize OpenLayers maps, manage layers, and render features including points, lines, polygons, and animated markers using the my-openlayer library.
Automates the creation and maintenance of JSDoc documentation for DuploJS utilities, ensuring consistent index.md structures and synchronized code examples.