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fuzzy-agent-daily-driver模糊 Agent 日常驱动程序

Agent Skill

fuzzy-agent-daily-driver 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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。

总安装

3,184

周安装

134

GitHub Stars

公开资料未说明

下载量

1,115
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

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:fuzzy-agent-daily-driver(模糊 Agent 日常驱动程序)
来源仓库:https://github.com/fuzzyb33s/fuzzy-agent-daily-driver
安装命令:
openclaw skills install fuzzy-agent-daily-driver
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 fuzzy-agent-daily-driver

简介

该技能封装 OpenClaw 代理日常使用的六大核心工作流程。

  • 适用于需要标准化召回、生成、调度与监控任务的场景。
  • 提供可复用的模式参考以提升系统可靠性。fuzzy-agent-daily-driver 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 通过 clawhub 安装并使用 openclaw skills install 命令激活。
  • 使用前应评估各子流程在实际业务中的适配程度。

SKILL.md

name
fuzzy-agent-daily-driver
description
The 6 core workflows every OpenClaw agent uses every day — recall, spawn, schedule, research, delegate, monitor-update. A pattern reference for building reliable daily-driver agents.
triggers
installed
true
version
1.0.0
owner
fuzzyb33s
tags

Fuzzy Agent Daily Driver

The 6 workflows that power every effective OpenClaw agent. Master these and you can build any daily-driver setup.

The 6 Core Patterns

1. Recall — Start Every Session Right

Before anything else, search long-term memory. This is mandatory at session start.

// Tool: memory_search + memory_get
memory_search({ query: "recent decisions, context, preferences" })
// Then pull the relevant lines
memory_get({ path: "MEMORY.md", from: LINE, lines: 20 })

When to use: Session startup, before any important decision, when context is unclear.


2. Spawn — Run Tasks in Isolation

Don't block. Spawn sub-agents for anything that takes more than a few seconds.

sessions_spawn({
  task: "Your instruction here",
  runtime: "subagent",
  mode: "run",          // "run" = one-shot, "session" = persistent
  runTimeoutSeconds: 300,
  cleanup: "delete"
})

When to use: Long-running commands, parallel work, anything that could timeout.


3. Schedule — Set It and Forget It

Use cron for anything that needs to happen repeatedly or later.

cron({
  action: "add",
  job: {
    name: "Daily digest",
    schedule: { kind: "cron", expr: "0 9 * * *", tz: "Africa/Johannesburg" },
    sessionTarget: "isolated",    // or "main" for direct chat
    payload: {
      kind: "agentTurn",
      message: "Run the morning digest check — emails, calendar, news"
    }
  }
})

When to use: Morning briefings, periodic health checks, reminder follow-ups.


4. Research — Fetch + Extract + Synthesize

Web fetch for raw content, web search for discovery.

// Discover with search
web_search({ query: "latest on topic", count: 5 })

// Deep read a page
web_fetch({ url: "https://...", extractMode: "markdown", maxChars: 8000 })

When to use: Before answering unfamiliar topics, checking prices/news/status.


5. Delegate — Route Work to the Right Place

Send tasks to other sessions or agents.

// To a named session
sessions_send({ sessionKey: "alex", message: "Handle this please" })

// To a channel
message({ action: "send", channel: "discord", target: "channel-name", message: "Update" })

When to use: Handing off to specialized agents, sending alerts, cross-channel updates.


6. Monitor-Update — Track and Adjust

Keep track of long-running work and update records.

// Poll a background process
process({ action: "poll", sessionId: "session-id", timeout: 30000 })

// Write results to memory
write({ path: "memory/YYYY-MM-DD.md", content: "## What happened\
..." })

When to use: After spawning background jobs, at end of session to capture decisions.


Everyday Session Template

Run this at the start of every session:

// 1. Recall (mandatory)
memory_search({ query: "today's context, recent decisions" })
memory_get({ path: "MEMORY.md", from: 1, lines: 50 })

// 2. Check cron status (optional)
cron({ action: "list" })

// 3. Check active sessions (optional)
sessions_list({ activeMinutes: 60 })

Tool Frequency Guide

FrequencyTools
Every sessionmemory_search, memory_get, read, write
Several times/dayweb_fetch, web_search, exec, process
Dailycron, sessions_list, sessions_history
As neededsessions_spawn, message, gateway, subagents

Session Startup Checklist

  1. memory_search — what was decided recently?
  2. memory_get — pull the relevant MEMORY.md lines
  3. Check HEARTBEAT.md — any pending tasks?
  4. Review DAILY_SKILLS.md or project tracker
  5. Start working

Key Files in Your Workspace

FilePurpose
MEMORY.mdLong-term curated memory — update after significant decisions
memory/YYYY-MM-DD.mdDaily session logs
AGENTS.mdAgent personality and workspace rules
HEARTBEAT.mdPeriodic background tasks to run
TOOLS.mdNotes on local environment (cameras, SSH hosts, etc.)

Anti-Patterns to Avoid

  • Don't busy-poll — use sessions_spawn with callback, not while loops
  • Don't skip memory recall — context gaps cause errors and重复 work
  • Don't write destructive commands without asking first
  • Don't respond to everything in group chats — quality > quantity
  • Don't forget to write it down — if you learned it, file it

Credits

Pattern framework inspired by the OpenClaw agent architecture — built for the 90-day skill challenge.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

85.51%
按下载量换算953

安全审计

VirusTotal

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ClawScan

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通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 openclaw skills install fuzzy-agent-daily-driver 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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