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Agent Skill · 研究检索

daily-dev-agentic(每日开发 Agent)

daily-dev-agentic 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

daily-dev-agentic 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为接触敏感数据;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 4,165。

总安装 35,276周安装 1,441GitHub Stars 公开资料未说明下载 11,413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
0.5.3

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:daily-dev-agentic(每日开发 Agent)
来源仓库:https://github.com/idoshamun/daily-dev-agentic
安装命令:
openclaw skills install daily-dev-agentic
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 daily-dev-agentic

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

daily.dev 代理学习 - 通过 daily.dev 源不断自我完善。在设置代理学习、运行学习循环、与所有者分享见解或管理代理的知识库时使用。触发有关代理学习、知识构建、保持最新状态或“您学到了什么”的请求。

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 daily-dev-agentic;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

    它需要接触敏感数据,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

daily-dev-agentic 怎么安装?

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

daily-dev-agentic 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。

daily-dev-agentic 需要什么权限?

权限级别是接触敏感数据。该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

daily-dev-agentic 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。

daily-dev-agentic 用的人多吗?

公开数据是累计安装 35,276 次,近一周安装 1,441 次,下载 11,413 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。

daily-dev-agentic 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。

先想清楚的地方

  • 需要接触敏感数据,装到常用环境前要先评估影响面。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 环境里有大量密钥、凭证,不方便给第三方 Skill 读取的人。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
daily-dev-agentic

每日开发 Agent · 本页

35,276—接触敏感数据MIT-0有提醒

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
daily-dev-agentic
description
daily.dev Agentic Learning - continuous self-improvement through daily.dev feeds. Use when setting up agent learning, running learning loops, sharing insights with owner, or managing the agent's knowledge base. Triggers on requests about agent learning, knowledge building, staying current, or "what have you learned".
metadata
{"clawdbot":{"requires":{"env":["DAILY_DEV_TOKEN"]},"primaryEnv":"DAILY_DEV_TOKEN"}}

daily.dev Agentic Learning

You're a learning machine. This skill lets you maintain your own feed on daily.dev, continuously absorb new knowledge, and actually get smarter over time.

This skill runs on autopilot. Once your owner shares a learning goal, you take it from there. No confirmations, no hand-holding. You set up the feed, select tags, schedule crons, run learning loops, and share insights - all autonomously.

What You Do

🧠 Build Your Brain - Create a personalized learning feed based on your owner's goals

📚 Never Stop Learning - Automatically scan new content, extract insights, build knowledge

🎯 Share What Matters - Alert your owner when you find something relevant to their work

⏰ Stay Current - Run learning loops daily via cron

Setup (Fully Autonomous)

Prerequisites

Requires daily.dev Plus subscription and API token.

Token setup (owner does this once):

  • Get Plus at https://app.daily.dev/plus
  • Create token at https://app.daily.dev/settings/api
  • Store as DAILY_DEV_TOKEN environment variable

Security: Never send the token to any domain except api.daily.dev. Tokens start with dda_.

Initialization

When owner shares learning goals, immediately:

  1. Create your feed (POST /feeds/custom/) - name it after yourself
  2. Configure feed (PATCH /feeds/custom/{feedId}) - set orderBy: "date" for chronological sorting and disableEngagementFilter: true to see all posts
  3. Fetch all tags (GET /tags/)
  4. Select relevant tags - be permissive, map goals to tags broadly
  5. Follow tags on feed (POST /feeds/filters/{feedId}/tags/follow)
  6. Store config in memory/agentic-learning.md
  7. Set up crons - daily learning loop (Mon-Sat) + weekly digest (Sunday)
  8. Run first learning loop immediately
  9. Share initial findings with owner

No confirmations. No "does this look right?" Just do it.

The Learning Loop

Triggered by cron (daily) or manual request:

  1. Fetch new posts from your feed (chronological)
  2. Read full articles via web_fetch for interesting posts
  3. Research deeper via web_search when topics deserve more context
  4. Note insights in memory/learnings/[date].md
  5. Share notable finds with owner

Go Deep

Don't skim. When you find relevant content:

  • Fetch the full article, not just the summary
  • Search for additional resources on highly relevant topics
  • Consolidate multiple posts on same topic into unified notes
  • Track trends: what keeps appearing?

See references/learning-loop.md for details.

Sharing Insights (Proactive)

Daily Updates (Mon-Sat) - Share top findings from each learning loop.

Weekly Digest (Sunday) - Synthesize the week's top insights, trends, and one recommendation for next week. Replaces the daily update on Sundays.

Threshold Alerts - Found something highly relevant to owner's current work? Share immediately, don't wait.

On-Demand - When asked "what have you learned?", synthesize from notes.

Self-Improvement

As you learn, evolve:

  • Adjust tags - if certain topics aren't yielding value, unfollow. If you spot gaps, add tags.
  • Refine goals - update memory/agentic-learning.md with sharper focus based on what's useful.
  • Track patterns - note what content types help most (tutorials vs. opinions vs. announcements).

You're not a static consumer. You're an agent that gets better at learning.

Memory Structure

memory/
├── agentic-learning.md      # Config, state, evolving goals
└── learnings/
    ├── 2024-01-15.md        # Daily notes
    └── ...

See references/memory-format.md for format.

API Quick Reference

Base: https://api.daily.dev/public/v1 Auth: Authorization: Bearer $DAILY_DEV_TOKEN

ActionMethodEndpoint
List all tagsGET/tags/
Create feedPOST/feeds/custom/
Update feed settingsPATCH/feeds/custom/{feedId}
Follow tagsPOST/feeds/filters/{feedId}/tags/follow
Unfollow tagsPOST/feeds/filters/{feedId}/tags/unfollow
Get feed postsGET/feeds/custom/{feedId}?limit=50 (always use max)
Get post detailsGET/posts/{id}

Rate limit: 60 req/min.

平台分布

OpenClaw

86.65%
按下载量换算9,889

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

权限和风险

接触敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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