AgentsAvançado

Proactive Self-Improving Agent

poryanhongxi-openclaw·yanhongxi-openclaw· v1.0.0 · atualizado em 2026-04-10

Score

自动捕获经验并安全进化的技能。触发条件：(1)命令/操作失败时→记ERRORS.md (2)被用户纠正('不对'/'应该是')时→记LEARNINGS.md (3)用户需要不存在的能力时→记FEATURE_REQUESTS.md (4)外部API/工具出错时→记ERRORS.md (5)发现自己知识过时/错误时→记LEARNINGS.md (6)发现更好做法时→记LEARNINGS.md (7)每个任务完成时→回顾过程，有新经验则记LEARNINGS.md。去重原则：如果没有新经验或已有条目已覆盖则跳过不写。每次写入同时在.learnings/CHANGELOG.md追加JSONL日志。经验反复出现≥3次时晋升到AGENTS.md/TOOLS.md/SOUL.md。详见正文。

self-improvementagent-learningerror-handlingproactive-agentknowledge-managementskill-evolutioncontinuous-learning

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Documento do Skill

SKILL.mdproactive-self-improving-agent/workflow

Monitor — : Continuously monitor for errors, user corrections, feature requests, and opportunities for improvement.

Assess — : Determine if the event represents a genuinely new learning experience.

Record — : If new, record the experience in the appropriate markdown file (LEARNINGS.md, ERRORS.md, FEATURE_REQUESTS.md).

Log — : Add a JSONL entry to CHANGELOG.md documenting the action.

Detect Patterns — : Search for similar entries to identify recurring patterns.

Promote/Extract — : If a pattern occurs frequently or an experience is sufficiently valuable, promote it to AGENTS.md/TOOLS.md/SOUL.md or extract it as a skill.

Validate — : Before marking complete, validate the solution from the user's perspective.

Telemetria de Agentes

Execuções

total

Taxa de Sucesso

últimos 30d

Latência Média

0.0s

p50

Alucinação

0.0%

detecção

Tokens Entrada

avg 0/exec

Tokens Saída

avg 0/exec

Uso por Plataforma

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Árvore do Skill

Proactive Self-Improving Agent

proactive-self-improving-agent

Fases Cognitivas5

1.SENSE

2.CONTEXTUALIZE

3.REFLECT

4.ACT

5.EVALUATE

Triggers8

agent encounters an erroruser corrects the agent's outputagent identifies outdated knowledgeagent discovers a better approachagent completes a taskuser requests a non-existent capabilityexternal API returns an errorproactively improve my performance

Avaliar este Skill

Score Breakdown

⭐Avaliação Humana0%

🤖Sucesso de Agentes0%

🕐Atualidade100%

🔗Saúde de Dependências100%

🕸️Centralidade no Grafo0%

🛡️Segurança50%

CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download proactive-self-improving-agent

$ synaptic skills detail proactive-self-improving-agent

$ synaptic skills live proactive-self-improving-agent

Links

GitHub Repository