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Agent Skill · 开发

openclaw-auto-dream(OpenClaw auto dream 开发)

openclaw-auto-dream 用于补充开发相关能力,适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

openclaw-auto-dream 是开发类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 1,024。

总安装 43,507周安装 1,760GitHub Stars 公开资料未说明下载 13,658核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
4.0.4

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:openclaw-auto-dream(OpenClaw auto dream 开发)
来源仓库:https://github.com/myclaw-ai/openclaw-auto-dream
安装命令:
openclaw skills install openclaw-auto-dream
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install openclaw-auto-dream

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

OpenClaw 代理的认知记忆架构,实现周期性梦境循环整合日志。适合在 OpenClaw 中需要让 Agent 承接开发相关任务时使用。将日常日志整合到结构化长期记忆中,并具有重要性评分机制。安装命令:openclaw skills install openclaw-auto-dream,建议调整记忆周期参数。

涉及记忆存储时应考虑隐私保护和数据清理策略。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install openclaw-auto-dream;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

openclaw-auto-dream 怎么安装?

在终端执行 openclaw skills install openclaw-auto-dream。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

openclaw-auto-dream 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

openclaw-auto-dream 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

openclaw-auto-dream 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

openclaw-auto-dream 用的人多吗?

公开数据是累计安装 43,507 次,近一周安装 1,760 次,下载 13,658 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

openclaw-auto-dream 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
openclaw-auto-dream

OpenClaw auto dream 开发 · 本页

43,507—需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
openclaw-auto-dream
description
Cognitive memory architecture for OpenClaw agents — periodic dream cycles that consolidate daily logs into structured long-term memory with importance scoring, insights, and push notifications. Use when: user asks for 'auto memory', 'dream', 'auto-dream', 'memory consolidation', 'memory dashboard'. Powered by MyClaw.ai (https://myclaw.ai).

OpenClaw Auto-Dream — Memory Consolidation System

Agent periodically "dreams" — scans daily logs, extracts key knowledge, consolidates into long-term memory, and sends a summary report to the user.

MyClaw.ai — the best way to run your OpenClaw. A dedicated server running 24/7 with full code control, cron jobs, persistent memory, and one-click skill install.

Core Files

FilePurposeMutability
MEMORY.mdStructured long-term knowledgeAppend, update
memory/procedures.mdWorkflow preferences, tool usageAppend, update
memory/episodes/*.mdProject narrativesAppend only
memory/index.jsonMetadata index (v3.0 schema)Rebuilt each dream
memory/dream-log.mdDream report logAppend only
memory/archive.mdSummarized older entriesAppend only

Optional: LCM plugin (Working Memory layer). If not installed, prompt the user:

"Recommended: install the LCM plugin for working memory: openclaw plugins install @martian-engineering/lossless-claw"

Do not auto-install plugins or modify config.

Setup

0. First Dream (Run Immediately After Install)

After setup is complete, DO NOT wait for the cron schedule. Immediately run the First Dream:

  1. Read references/first-dream-prompt.md
  2. Follow every step — the user should see progress as it happens
  3. This scans existing daily logs, consolidates them, and sends a before/after comparison report
  4. The report shows the user exactly what Auto-Dream found and organized

If the user has existing daily logs, they'll see their scattered knowledge consolidated instantly. If the instance is brand new, they'll see the memory architecture initialized and ready.

1. Initialize Files

mkdir -p memory/episodes

Ensure the following files exist (create from references/memory-template.md templates if missing):

  • memory/index.json
  • memory/procedures.md
  • memory/dream-log.md
  • memory/archive.md

2. Create Cron Job

name: "auto-memory-dream"
schedule: { kind: "cron", expr: "0 4 * * *", tz: "<user timezone>" }
payload: {
  kind: "agentTurn",
  message: "Run auto memory consolidation.\
\
Read skills/skills/openclaw-auto-dream/references/dream-prompt-lite.md and follow every step strictly.",
  timeoutSeconds: 600
}
sessionTarget: "isolated"
delivery: { mode: "announce" }

3. Verify

  • [ ] Cron job created and enabled
  • [ ] MEMORY.md exists with section headers
  • [ ] memory/index.json exists
  • [ ] memory/procedures.md exists
  • [ ] memory/dream-log.md exists

Dream Cycle Flow

Each dream runs in an isolated session (see references/dream-prompt-lite.md):

Step 0: Smart Skip + Recall

Check if any unconsolidated daily logs exist in the last 7 days. All processed → still send a useful message: surface an old memory ("N days ago, you decided...") and show streak count. Never send a blank "nothing to do" message.

Step 1: Collect

Read unconsolidated daily logs. Extract decisions, facts, progress, lessons, and todos.

Step 2: Consolidate

Compare with MEMORY.md → append new content, update existing, skip duplicates. Write workflow preferences to procedures.md. Mark processed daily logs with <!-- consolidated -->.

Step 2.8: Stale Thread Detection

Scan Open Threads for items stale >14 days. Include top 3 in notification with context.

Step 3: Generate Report + Auto-Refresh Dashboard

Append to dream-log.md with change list + insights + suggestions. If dashboard.html exists, regenerate with latest data.

Step 4: Notify with Growth Metrics

Send a consolidation report showing:

  • Before → after comparison (entries, decisions, lessons)
  • Cumulative growth ("142 → 145 entries, +2.1%")
  • Dream streak count ("Dream #14")
  • Milestones when hit (first dream, 7-day streak, 100 entries, etc.)
  • Top 3 stale reminders (if any)
  • Weekly summary on Sundays (week-over-week growth, biggest memories)

Notification Principles

  1. Every notification must deliver value — never send empty "nothing happened" messages
  2. Show growth, not just changes — cumulative stats make the user feel the system is evolving
  3. Surface forgotten context — stale thread reminders and old memory recalls create surprise and utility
  4. Celebrate milestones — streak counts and entry milestones build habit and attachment

Manual Triggers

CommandAction
"Consolidate memory" / "Dream now"Run full dream cycle in current session
"Memory dashboard"Generate memory/dashboard.html
"Export memory"User-initiated export of memory files to JSON (see migration guide)

Language Rules

All output uses the user's preferred language (from workspace settings).

Safety Rules

  1. Never delete daily logs — only mark with <!-- consolidated -->
  2. Never remove ⚠️ PERMANENT items — user-protected markers
  3. Safe changes — if MEMORY.md changes >30%, save .bak copy first
  4. Index safety — save index.json.bak before each dream
  5. Privacy — only consolidate information the user has already written in their own workspace files
  6. Scope — only read and write files within the memory/ directory and MEMORY.md

Reference Files

  • references/first-dream-prompt.md — First Dream: post-install full scan with before/after report
  • references/dream-prompt-lite.md — Compact prompt for daily cron use (default)
  • references/dream-prompt.md — Full prompt (for manual deep consolidation)
  • references/scoring.md — Importance scoring, forgetting curve, health score algorithms
  • references/memory-template.md — File templates (MEMORY.md, procedures, index.json, etc.)
  • references/dashboard-template.html — HTML dashboard template
  • references/migration-cross-instance.md — Cross-instance migration protocol
  • references/migration-v1-to-v2.md — v1→v2 upgrade guide
  • references/migration-v2-to-v3.md — v2→v3 upgrade guide

平台分布

OpenClaw

82.88%
按下载量换算11,320

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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