aprendizado-continuoCaptura erros, correções e aprendizados automaticamente. Promove melhorias para AGENTS.md, TOOLS.md e SKILL.md. Sistema de auto-melhoria em português.
Install via ClawdBot CLI:
clawdbot install engsathiago/aprendizado-continuoGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/eve-agent/aprendizado-continuo/issuesAudited Apr 17, 2026 · audit v1.0
Generated May 7, 2026
A customer service chatbot automatically logs incorrect responses or failed queries into .learnings/ERRORS.md. The system then updates its knowledge base to avoid repeating mistakes, improving resolution rates over time.
A code review AI captures user corrections (e.g., 'This approach is inefficient') and stores them in CORRECTIONS.md. It later suggests better patterns, reducing review cycles by 30%.
An IT helpdesk agent records connection timeouts and dependency errors in ERRORS.md. Based on patterns, it automatically adjusts timeout settings and retry logic, minimizing downtime.
An AI tutor for Portuguese learners logs misunderstood concepts in LEARNINGS.md. It adapts its explanations and suggests targeted exercises, enhancing student performance over time.
Offer a monthly subscription for agents that use the skill, plus a dashboard showing error trends, resolution times, and learning metrics. Revenue from subscription fees (e.g., $99/month).
Provide consulting services to integrate the skill into enterprise workflows, customizing triggers and promotion rules. Revenue from one-time setup fees and hourly consulting (e.g., $200/hour).
Sell the skill as a premium package on ClawHub with advanced features like multi-agent synchronization and priority support. Revenue from per-install purchase (e.g., $29).
💬 Integration Tip
Add the skill via 'clawhub install aprendizado-continuo' and ensure the .learnings directory is tracked in your project repo for automated promotion.
Scored May 7, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.