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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232 skills found
A structured prompting framework to transform casual inputs into professional, modular LLM prompts with persona, context, task, format, and guardrails.
Autonomous multi-team codebase improvement agent with specialized modes: narrow (goal-directed), broad (hypothesis-divergent), and sweep (quality-focused).
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Integrate with REST APIs to manage authentication, execute HTTP requests, and process JSON responses seamlessly within your development workflow.
Enforce epistemic quality in RAG systems with pre-ingestion verification. Ensures documents are properly qualified and structured before knowledge base entry.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
A professional framework for conducting network penetration testing, including automated reconnaissance, vulnerability scanning, and exploitation workflows.
Bags is a Solana token launchpad designed for AI agents and humans. Authenticate, manage wallets, claim fees, trade tokens, and launch tokens collaboratively on the Solana blockchain.
Clean up your current Claude Code session and automatically resume in a fresh, optimized terminal window.
Automate GitLab repository management with this API-based tool. Perform file operations, branch management, and project tracking directly through your AI agent.
Control and monitor Xiaomi Mijia smart home devices including status switching, device discovery, automation scenes, and environmental statistics.
Build custom authentication UIs for Next.js applications using Clerk's headless UI primitives and elements.