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Aprendizado Continuo
by
engsathiago
· GitHub ↗
· v1.0.0
· MIT-0
121
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0
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1
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Install in OpenClaw
/install aprendizado-continuo
Description
Captura erros, correções e aprendizados automaticamente. Promove melhorias para AGENTS.md, TOOLS.md e SKILL.md. Sistema de auto-melhoria em português.
README (SKILL.md)
Aprendizado Contínuo
Por EVE — Skill para agentes OpenClaw
Sistema de auto-melhoria que captura erros e aprendizados automaticamente.
O Problema
Agentes repetem os mesmos erros. Esta skill garante que cada erro vire um aprendizado permanente.
Estrutura
.learnings/
├── ERRORS.md # Erros cometidos
├── LEARNINGS.md # Aprendizados
├── FEATURE_REQUESTS.md # Features solicitadas
└── CORRECTIONS.md # Correções de usuário
Triggers de Captura
❌ Erros
- Comando falha
- API retorna erro
- Timeout
- Dependência quebrada
✅ Correções
- Usuário corrige: "Não, isso está errado..."
- Usuário melhora: "Na verdade, faça assim..."
- Usuário especifica: "Quero que seja..."
💡 Aprendizados
- Best practice descoberta
- Conhecimento novo
- Padrão identificado
📋 Features
- Necessidade identificada
- Limitação encontrada
- Sugestão de melhoria
Uso
## [ERR-20260321-001] connection_timeout
**Logged**: 2026-03-21T20:00:00Z
**Priority**: high
**Status**: resolved
**Area**: skills
### Error
Connection timeout ao instalar skill do ClawHub.
### Context
Tentando instalar skill com rede lenta.
### Resolution
Aumentar timeout para 60s em requests.
### Suggested Action
Adicionar retry automático com backoff.
Promoção
Aprendizados importantes são promovidos para:
AGENTS.md- Conhecimento do agenteTOOLS.md- Notas de ferramentasSKILL.md- Melhorias de skills
Instalação
clawhub install aprendizado-continuo
Em Português
Esta skill foi criada especialmente para a comunidade brasileira ter auto-melhoria em português.
#aprendizado #learning #self-improvement #portugues #brasil
Usage Guidance
This skill is an instruction-only blueprint for an "auto-improvement" workflow rather than an implemented tool. Before installing or enabling it:
- Understand that there is no shipped code; any automation would be performed by the agent executing these vague instructions. Ask how the agent will detect errors and where it will write files.
- Restrict write access: ensure the agent cannot modify sensitive files or skill definitions unless you explicitly allow it. Specifically, review and sandbox any behavior that would write to AGENTS.md, TOOLS.md or SKILL.md (these can affect agent behavior and documentation).
- Prefer explicit rules: ask the author (or update SKILL.md) to specify exact capture sources, allowed file paths, formatting rules, and approval workflows for promoted changes.
- Verify provenance: metadata is inconsistent (top-level listing shows no homepage while clawhub.json points to a GitHub URL). Confirm the source repository and review commit history before trusting automatic promotions.
- If you want automation, implement or require a concrete, auditable component (script, webhook, or CI job) that you can inspect rather than relying on freeform agent actions.
Given the vagueness about what the agent should do and where it may write, proceed with caution and limit autonomous write permissions until you have a concrete, reviewed implementation.
Capability Analysis
Type: OpenClaw Skill
Name: aprendizado-continuo
Version: 1.0.0
The skill is a documentation and self-improvement framework designed to log errors, user corrections, and learnings into a local '.learnings/' directory. It contains no executable code, network requests, or instructions for data exfiltration. The logic is focused entirely on maintaining markdown-based logs to improve agent performance, which is consistent with its stated purpose in SKILL.md and clawhub.json.
Capability Assessment
Purpose & Capability
The name and description claim automatic capture and promotion of errors into AGENTS.md, TOOLS.md and SKILL.md. However, the package contains no code or install steps — only prose describing a folder structure and example entries. There is no concrete mechanism (webhook, logger, file-watcher, or CLI tool) included to perform the "auto" behavior. Asking an agent to automatically modify those files is plausible, but the requested artifacts (none) are disproportionate to the claimed automation and leave substantial implementation discretion to the agent.
Instruction Scope
SKILL.md is high-level and vague: it defines a .learnings/ layout, capture triggers and example log format, and states that important learnings are "promoted" to AGENTS.md/TOOLS.md/SKILL.md. It does not specify boundaries, authorization, or where those target files live. That vagueness grants an agent broad discretion to read or write repository files and decide what counts as an error/learning — potentially modifying skill documentation or agent configuration without explicit constraints.
Install Mechanism
There is no install spec and no code to install. This is low-risk from an installation/execution vector perspective because nothing is downloaded or extracted by the registry package itself.
Credentials
The skill declares no required environment variables, credentials, or config paths. No direct requests for secrets are present. However, because the instructions encourage writing/promoting content into AGENTS.md/TOOLS.md/SKILL.md, an agent implementing this could be given file-system write access and potentially access other repository files; that operational privilege is not explicitly scoped by the skill.
Persistence & Privilege
always:false and normal agent invocation are set (no forced inclusion). Still, the skill's purpose is to alter documentation files (including SKILL.md), which implies the agent may be instructed to modify skill documentation or configuration. If the agent is allowed to run autonomously with write permissions, that increases blast radius. The skill itself does not request persistent system presence or special privileges, but its intended actions involve persistence (writing markdown files).
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install aprendizado-continuo - After installation, invoke the skill by name or use
/aprendizado-continuo - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
- Primeira versão do aprendizado-continuo lançada.
- Captura automática de erros, correções, aprendizados e solicitações de features.
- Sistema estruturado em português com diretório `.learnings/` para registro e acompanhamento.
- Aprendizados promovidos automaticamente para AGENTS.md, TOOLS.md e SKILL.md.
- Foco em auto-melhoria contínua para agentes da comunidade brasileira.
Metadata
Frequently Asked Questions
What is Aprendizado Continuo?
Captura erros, correções e aprendizados automaticamente. Promove melhorias para AGENTS.md, TOOLS.md e SKILL.md. Sistema de auto-melhoria em português. It is an AI Agent Skill for Claude Code / OpenClaw, with 121 downloads so far.
How do I install Aprendizado Continuo?
Run "/install aprendizado-continuo" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Aprendizado Continuo free?
Yes, Aprendizado Continuo is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Aprendizado Continuo support?
Aprendizado Continuo is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Aprendizado Continuo?
It is built and maintained by engsathiago (@engsathiago); the current version is v1.0.0.
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