agente-historia-geografiaAgente especialista em História e Geografia para FUVEST — 1ª fase. Ambas têm peso alto nas 90 questões objetivas, com História priorizando Brasil (Colonial,...
Install via ClawdBot CLI:
clawdbot install antoniovfranco/agente-historia-geografiaGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated May 7, 2026
An AI agent providing personalized tutoring for the FUVEST entrance exam's history and geography sections. It adapts to student progress, explains causal relationships in historical events, and links geography to current geopolitical issues.
The agent analyzes recent geopolitical events (e.g., Venezuela/Essequibo, Ukraine) by connecting them to historical context and geographical factors, helping users understand power dynamics and causal chains.
Integrated with philosophy, sociology, and literature agents, this scenario provides a holistic understanding of historical periods by linking ideological movements, social structures, and cultural works to events.
Educators use the agent to generate engaging lesson plans that focus on cause-effect relationships and interest-based questions, aligning with modern pedagogical approaches for secondary and higher education.
Students pay a monthly fee for access to the AI agent plus curated study materials and progress tracking. Premium tiers offer deeper integration with other subject agents.
Licensing the agent's API to educational institutions or online learning platforms for integration into their existing systems. Customization options for specific curricula.
Basic history and geography Q&A is free. Advanced features like personalized study plans, deep analysis questions, and cross-subject integration are unlocked via microtransactions or one-time purchase.
💬 Integration Tip
Integrate with ChatGPT or other LLM platforms, and connect with existing tutoring apps via API to provide contextual historical and geographical insights.
Scored May 7, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
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Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.