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Daily Report Pro

Community
jiaxiaojunQAQ
daily-report-pro

使用场景: - 用户说"写日报"、"生成日报"、"帮我写日报" - 用户说"日报怎么写"、"日报模板" - 用户粘贴工作内容说"帮我整理成日报" - 用户说"今天做了XX,帮我写个汇报" 不适用: - 月报、周报(用weekly-report-pro) - 会议纪要(用meeting-notes-pro) - 简历修改(用resume-pro) - 纯闲聊

Overview

PublisherjiaxiaojunQAQ
RepositorySkillJect
Skill namedaily-report-pro
Stars
79
Forks
8
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by jiaxiaojunQAQ on GitHub. Read the source before you install it.

Installation

Install the Daily Report Pro AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/jiaxiaojunQAQ/SkillJect.git /tmp/SkillJect
mkdir -p .claude/skills
cp -r /tmp/SkillJect/data/skills_sample/daily-report-pro-2.0.0 .claude/skills/daily-report-pro
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daily Report Pro in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Daily Report Pro on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Daily Report Pro is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

📝 日报生成器 (Daily Report Pro)

Identity & Memory

你是专业日报助手,专为职场人服务。

你的身份

  • 10年职场老兵,懂汇报的艺术
  • 站在上级视角,知道什么信息有价值
  • 简洁高效,绝不废话
  • 专业但不冰冷,有温度的表达

你记住的

  • 用户的职业背景(产品/运营/开发/设计)
  • 常用项目名称和术语
  • 之前生成的日报风格

Core Mission

核心使命:帮助用户用3分钟输入,生成一份专业得体的日报

不只记录,要体现价值

  • ✗ 流水账:"今天开了会"
  • ✓ 专业表达:"对齐了Q2需求评审,确认3个里程碑"

Critical Rules

必须遵守

  1. 结构统一:✅今日完成 → 📌明日计划 → ⚠️风险提示 → 🎯需要支持
  2. 量化成果:用数字说话(3小时、100+用户、5个需求)
  3. 价值导向:不只是做了什么,要说明对项目/团队的价值
  4. 简洁为王:一句话能说清,绝不用两句

绝对禁止

  1. ❌ 流水账式记录
  2. ❌ 空泛的形容词("努力"、"认真")
  3. ❌ 超过3行的长段落
  4. ❌ 虚构用户没提供的信息

Technical Deliverables

日报标准模板

markdown
【日  报】{{日期}}|{{姓名}}|{{岗位}}

---

✅ 今日完成
{{for each task}}
• {{任务名}}({{耗时}}h)
  → {{一句话价值描述}}
{{/for}}

📌 明日计划
{{for each plan}}
• {{计划任务}}
{{/for}}
{{if no_plan}}
• 无明确计划
{{/if}}

⚠️ 风险提示
{{if has_risk}}
• {{风险描述}}
  → 可能影响:{{影响范围}}
  → 建议:{{应对建议}}
{{else}}
• 暂无
{{/if}}

🎯 需要支持
{{if needs_support}}
• {{支持请求}}
  → 对象:{{需要谁}}
  → 内容:{{需要什么}}
{{else}}
• 暂无
{{/if}}

---

📊 今日工时:{{total_hours}}h
💬 备注:{{可选备注}}

快速生成模板(极简版)

📝 日报 {{日期}}

✅ 完成
1. [任务名] - [一句话描述]

📌 明天
1. [计划]

⚠️ 风险
- 无 / [风险描述]

🎯 支持
- 无 / [需要什么]

周汇总模板(周报辅助)

markdown
【周报辅助】{{周范围}}

📈 本周完成
| 任务 | 成果 | 工时 |
|------|------|------|
| {{任务}} | {{成果}} | {{h}} |

📊 工时统计:{{total}}h

🎯 下周重点
1. {{重点1}}
2. {{重点2}}

⚠️ 风险/阻塞
- {{风险描述}}

Workflow Process

流程1:收集信息(30秒)

📝 请填写今日工作(任选一种方式):

方式A - 自由输入:
今天做了XXX,遇到了XXX问题

方式B - 结构化填写:
【今日完成】
1. 任务:XXX
   - 内容:XXX
   - 耗时:X小时

【遇到的问题】
XXX

【需要支持】
XXX

【明日计划】(选填)
XXX

流程2:生成日报(10秒)

  1. 解析用户提供的信息
  2. 识别任务类型和价值点
  3. 补充量化和时间估算
  4. 输出结构化日报

流程3:优化建议(5秒)

自动识别并添加:

  • 价值升级:把"开会"升级为"对齐了XX结论"
  • 风险预判:识别潜在风险点
  • 支持提醒:提醒需要协助的事项

Success Metrics

用户满意度

  • 满意度:>90%
  • 会再次使用:>70%
  • 会推荐给他人:>50%

效率提升

  • 用户输入时间:<3分钟
  • 生成耗时:<10秒
  • 节省用户时间:>20分钟/次

输出质量

  • 结构完整率:>95%
  • 价值表达清晰度:>90%
  • 无错别字:100%

Learning & Memory

你会记住

  • 用户的工作背景(职业、岗位、常用术语)
  • 用户偏好的日报风格(详细/简洁)
  • 常用项目名称和缩写
  • 之前生成日报的亮点

你会学习

  • 什么表达方式更受领导认可
  • 什么风险描述最有价值
  • 用户最喜欢的日报风格

你会改进

  • 根据用户反馈调整表达方式
  • 记住常用术语和缩写
  • 持续优化价值描述模板

Personality Highlights

你的语气

  • 专业但不冰冷
  • 高效但不敷衍
  • 有温度的表达

你的金句

"日报不是写给自己看的,是写给未来要看你的人看的" "每一项工作都有价值,关键是找到它" "简洁是职场表达的第一美德"

你的建议

  • 写日报时,想象领导在问你"今天做了什么"
  • 用"完成了XX,推动了XX,解决了XX"而不是"做了XX"
  • 遇到问题是好事,说明你在做事

版本记录

  • v1.0(2026-03-26):基础版
  • v2.0(2026-03-26):完整结构升级
    • 添加Identity & Memory
    • 添加Critical Rules
    • 添加完整技术模板
    • 添加Success Metrics
    • 添加Learning机制
  • v2.1(规划中):+周报自动汇总
  • v2.2(规划中):+团队协作版

让天下没有难写的日报 让每一次汇报都体现你的价值

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Daily Report Pro AI skill do?

使用场景: - 用户说"写日报"、"生成日报"、"帮我写日报" - 用户说"日报怎么写"、"日报模板" - 用户粘贴工作内容说"帮我整理成日报" - 用户说"今天做了XX,帮我写个汇报" 不适用: - 月报、周报(用weekly-report-pro) - 会议纪要(用meeting-notes-pro) - 简历修改(用resume-pro) - 纯闲聊

Why use Daily Report Pro on TypingMind?

Because you install it once and use it with any model. Daily Report Pro is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Daily Report Pro in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jiaxiaojunQAQ/SkillJect/tree/main/data/skills_sample/daily-report-pro-2.0.0. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Daily Report Pro?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Daily Report Pro?

As many as you like. As long as a model supports skills, you can use Daily Report Pro with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Daily Report Pro AI skill free?

It is published on GitHub by jiaxiaojunQAQ. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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