Daily Report

Community

openvort

daily-report

AI 辅助生成日报的工作流，支持自动采集工作数据和引导式两种模式

Overview

Publisher	openvort
Repository	`openvort`
Skill name	`daily-report`
Stars	388
Forks	73
Bundled files	Instructions only
License	AGPL-3.0
Links	Skill source Repository Homepage

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by openvort on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/openvort/openvort/tree/master/src/openvort/skills/daily-report
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.

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/openvort/openvort.git /tmp/openvort
mkdir -p .claude/skills
cp -r /tmp/openvort/src/openvort/skills/daily-report .claude/skills/daily-report

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Daily Report 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 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 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.

日报生成工作流

当用户要求生成日报（如"帮我写日报"、"发日报"、"生成今天的日报"）时，执行以下流程。

重要前提：

当需要统计某成员按日期的工作量（新建/关闭/重新打开了多少 bug）时，必须使用 vortflow_query 的 query_type=member_daily，传入 assignee_id、date，可选 project_id
严禁使用 query_type=bugs 查出 bug 列表后自行统计数量，这会导致数据错误

流程一：自动采集（有系统工作记录的用户）

调用 report_submit 的 generate 动作，传入用户姓名、report_type="daily"、当天日期
- 如果用户指定了项目，先通过 vortflow_query 查到 project_id，再传入 generate 的 project_id 参数
检查返回结果：
- has_system_data=true：系统已自动采集到工作数据 → 继续步骤 3
- 返回 identity_hint：仓库有提交但无法匹配用户身份 → 转入身份引导流程
- has_system_data=false 且无 identity_hint：转入流程二
基于 collected_data 中的分类数据，用自然语言重新组织汇报：
- 严格按 collected_data 中的分类展示：bugs_created 是新建的缺陷，bugs_fixed 是关闭的缺陷，bugs_reopened 是再次打开的缺陷
- 统计数字必须使用 summary 中的计数，不要自行计算或混淆分类
- 将任务和缺陷标题整合为可读的工作描述
- 关联代码提交和任务完成情况
- 询问用户是否有"遇到的问题"或"明日计划"需要补充
展示给用户确认，等待用户回复
用户确认后，调用 report_submit 的 submit 动作（传入 report_id）提交

身份引导流程（Git 提交无法匹配）

当 generate 返回 identity_hint 时，说明仓库中有提交但无法关联到当前用户：

告知用户："我在仓库中发现了提交记录，但无法确认是不是你的。"
列出 identity_hint.unmatched_authors 中的作者（格式：作者名 <邮箱>），询问用户哪个是他的 Git 账号
用户确认后，引导他在个人资料中补充对应的邮箱："请在个人资料中补充你的邮箱 xxx@xxx.com，下次就能自动匹配了。"
同时引导用户手动描述今天的工作内容来完成本次日报

流程二：引导式（无系统记录的用户）

引导用户描述工作内容："请简单告诉我你今天主要做了哪些工作，我来帮你整理成日报。"
根据用户描述整理成日报格式：
- 今日工作（按重要性排列）
- 遇到的问题（如有）
- 明日计划（如有，否则询问）
展示给用户确认，确认后调用 report_submit 的 submit 动作提交

定时推送

当用户要求设置"每天自动提醒写日报"或"定时生成日报"时，使用 schedule_manage 工具创建定时任务：

调度方式：cron
建议时间：每个工作日 17:30（30 17 * * 1-5）
prompt 示例："请帮我生成今天的日报并发送给我确认"
设置 target_member_id 为目标用户的 member_id

交互规则

用户说"确认"、"可以"、"提交"、"没问题"时 → 立即提交
用户说"改一下 xxx"或提出修改意见 → 修改内容后重新展示
用户补充了"遇到的问题"或"明日计划" → 整合到日报内容中
日报内容应简洁明了，突出关键产出，不暴露内部 ID

Frequently asked questions

What does the Daily Report AI skill do?

AI 辅助生成日报的工作流，支持自动采集工作数据和引导式两种模式

Why use Daily Report on TypingMind?

Because you install it once and use it with any model. Daily Report 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 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/openvort/openvort/tree/master/src/openvort/skills/daily-report. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Daily Report?

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?

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

Is the Daily Report AI skill free?

Yes. It is published on GitHub by openvort under the AGPL-3.0 license. 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.

View all

Auto Qa

openclaw

OrganizationPopular

Run OpenClaw-wide autonomous QA and live/stress campaigns across independent subsystem lanes, with verified fixes and a resumable evidence report.

Autoreview

Structured code review when explicitly requested, preferring OpenAI/Codex before Claude.

Claw Score

Audit or refresh OpenClaw maturity scorecard docs from root taxonomy, maturity scores, and QA evidence artifacts without using maintainer discrawl data or committed inventory reports.

Clawsweeper

Use for all ClawSweeper work: OpenClaw issue/PR sweep reports, repair jobs, cloud fix PRs, @clawsweeper maintainer mention commands, trusted ClawSweeper-reviewed autofix/automerge, GitHub Actions…

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

日报生成工作流

流程一：自动采集（有系统工作记录的用户）

身份引导流程（Git 提交无法匹配）

流程二：引导式（无系统记录的用户）

定时推送

交互规则

Frequently asked questions

Related AI Skills

Set up your own AI workspace now