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Daily Workflow Manager

作者 EnglandTong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install daily-workflow-en
功能描述
Daily work start and end workflow manager for English-speaking developers. Triggered by phrases like 'starting work', 'start of day', 'ending work', or 'end...
使用说明 (SKILL.md)

\r \r

Daily Workflow Skill (English Version)\r

\r Manage daily work sessions with automated project documentation tracking and AI-to-AI handover support.\r \r

When to Use This Skill\r

\r Trigger this skill when the user mentions:\r

  • "starting work" / "start of day" / "let's begin" - Starting the work day\r
  • "ending work" / "end of day" / "wrapping up" - Ending the work day\r \r These phrases indicate intentional work session boundaries where project state should be captured and restored.\r \r

Core Workflow\r

\r

Phase 1: Start Work Session\r

\r Execute the following sequence when the user indicates work is starting:\r \r

  1. Ensure Docs Directory Exists\r
    • Check if Docs/ directory exists in workspace root\r
    • Create Docs/ if it does not exist\r \r
  2. Check and Create Required Files\r
    • Verify these five files exist in Docs/:\r
      • PROJECT_TARGET.md - Project objectives and goals\r
      • PROJECT_STATUS.md - Current project status\r
      • COMPLETED_JOBS.md - Completed work items\r
      • PENDING_JOBS.md - Pending/incomplete work items\r
      • NEXT_STEPS.md - Planned next steps\r
    • Create any missing files with appropriate template headers\r \r
  3. Read All Documentation\r
    • Read all five files from Docs/\r
    • Extract key information:\r
      • Current project objectives\r
      • Latest project status\r
      • Recently completed work\r
      • Pending tasks and blockers\r
      • Planned next steps\r \r
  4. Present Work Session Briefing\r
    • Summarize current project state\r
    • Highlight completed work since last session\r
    • Identify pending tasks\r
    • Suggest priority work for current session\r
    • Ask user for confirmation or adjustments to the plan\r \r

Phase 2: End Work Session\r

\r Execute the following sequence when the user indicates work is ending:\r \r

  1. Update Completed Jobs\r
    • Append today's completed work items to Docs/COMPLETED_JOBS.md\r
    • Use format: `## [YYYY-MM-DD]\
  • [completed item 1]\
  • [completed item 2]`\r
    • Include sufficient detail for another AI to understand what was done\r \r
  1. Update Pending Jobs\r
    • Update Docs/PENDING_JOBS.md with:\r
      • Tasks started but not completed\r
      • Blockers encountered\r
      • Tasks deferred to next session\r
    • Remove completed items from pending list\r \r
  2. Update Project Status\r
    • Update Docs/PROJECT_STATUS.md with:\r
      • Current completion percentage\r
      • Key milestones reached\r
      • Current focus area\r
      • Any changes in project direction\r \r
  3. Update Project Target (if needed)\r
    • Modify Docs/PROJECT_TARGET.md only if:\r
      • Project objectives have changed\r
      • New requirements discovered\r
      • Scope adjustments needed\r
    • Otherwise, leave unchanged\r \r
  4. Update Next Steps\r
    • Write clear, actionable next steps to Docs/NEXT_STEPS.md\r
    • Include:\r
      • Specific tasks to tackle next session\r
      • Priority order\r
      • Any prerequisites or dependencies\r
      • Context needed to resume work immediately\r \r
  5. Present Session Summary\r
    • Summarize what was completed\r
    • List updated documentation files\r
    • Confirm next steps are clearly documented\r
    • Ensure handover-ready state for next AI\r \r

File Templates\r

\r When creating missing files, use these templates:\r \r

PROJECT_TARGET.md\r

# Project Target\r
\r
## Project Overview\r
[Describe the project's main objective]\r
\r
## Key Goals\r
- [Goal 1]\r
- [Goal 2]\r
\r
## Success Criteria\r
- [Criterion 1]\r
- [Criterion 2]\r
\r
## Last Updated\r
[YYYY-MM-DD]\r
```\r
\r
### PROJECT_STATUS.md\r
```markdown\r
# Project Status\r
\r
## Current Status\r
[Brief description of current state]\r
\r
## Completion\r
[XX]% complete\r
\r
## Current Focus\r
[What is being worked on now]\r
\r
## Recent Milestones\r
- [YYYY-MM-DD] [Milestone description]\r
\r
## Last Updated\r
[YYYY-MM-DD]\r
```\r
\r
### COMPLETED_JOBS.md\r
```markdown\r
# Completed Jobs\r
\r
## [YYYY-MM-DD]\r
- [Completed task 1]\r
- [Completed task 2]\r
\r
## [YYYY-MM-DD]\r
- [Completed task 1]\r
```\r
\r
### PENDING_JOBS.md\r
```markdown\r
# Pending Jobs\r
\r
## High Priority\r
- [ ] [Task 1]\r
- [ ] [Task 2]\r
\r
## Medium Priority\r
- [ ] [Task 3]\r
\r
## Low Priority\r
- [ ] [Task 4]\r
\r
## Blockers\r
- [Blocker description if any]\r
```\r
\r
### NEXT_STEPS.md\r
```markdown\r
# Next Steps\r
\r
## Immediate Actions (Next Session)\r
1. [Action 1 - with context]\r
2. [Action 2 - with context]\r
\r
## Upcoming Tasks\r
- [Task 1]\r
- [Task 2]\r
\r
## Notes for Next AI\r
[Important context, decisions made, things to remember]\r
```\r
\r
## AI-to-AI Handover Principles\r
\r
Write all documentation assuming the next reader will be a different AI instance that needs to:\r
- Understand what was being built and why\r
- Resume work without asking basic questions\r
- Continue the same coding style and conventions\r
- Respect decisions already made\r
\r
**Key practices:**\r
- Write in detail, not shorthand\r
- Explain the "why" not just the "what"\r
- Include code snippets or file references when relevant\r
- Note any workarounds, hacks, or technical debt\r
- Record user preferences and decisions\r
\r
## Workflow Diagram\r
\r
```\r
User indicates work starting\r
    ↓\r
Check Docs/ exists → Create if missing\r
    ↓\r
Check 5 files exist → Create missing with templates\r
    ↓\r
Read all 5 files\r
    ↓\r
Present work session briefing\r
    ↓\r
User works with AI assistance\r
    ↓\r
User indicates work ending\r
    ↓\r
Update COMPLETED_JOBS.md\r
    ↓\r
Update PENDING_JOBS.md\r
    ↓\r
Update PROJECT_STATUS.md\r
    ↓\r
Update PROJECT_TARGET.md (if needed)\r
    ↓\r
Update NEXT_STEPS.md\r
    ↓\r
Present session summary\r
    ↓\r
Project state saved for next AI\r
```\r
\r
## Important Notes\r
\r
- Always use absolute paths when referencing `Docs/` directory\r
- Append to `COMPLETED_JOBS.md` (never overwrite previous entries)\r
- Overwrite `NEXT_STEPS.md` each session (it's for the immediate next session)\r
- Preserve historical information in `PROJECT_STATUS.md` and `COMPLETED_JOBS.md`\r
- When in doubt, write more context, not less\r
- This skill supports both English and Chinese trigger phrases for flexibility\r
安全使用建议
This skill appears safe for normal use as a local project documentation helper. Before installing, understand that it will create and update files under Docs/ and may preserve context for future AI handoff. Do not put secrets, tokens, private credentials, or sensitive personal information in those handover files.
功能分析
Type: OpenClaw Skill Name: daily-workflow-en Version: 1.0.0 The skill is a project management tool designed to track work progress and maintain context between AI sessions by managing markdown files in a local 'Docs/' directory. It does not exhibit any signs of data exfiltration, unauthorized execution, or malicious prompt injection, and its operations are strictly limited to file system interactions within the workspace for documentation purposes (SKILL.md).
能力评估
Purpose & Capability
The stated purpose is daily start/end workflow management, and the instructions consistently focus on reading and updating project documentation in a Docs/ folder.
Instruction Scope
The skill tells the agent to create and update specific Markdown files when the user indicates work is starting or ending; this is purpose-aligned but does mutate workspace files.
Install Mechanism
No install spec, code files, binaries, environment variables, or credentials are declared; the artifact is instruction-only.
Credentials
The requested environment access is limited to a Docs/ directory in the workspace root and appears proportionate to the project-documentation purpose.
Persistence & Privilege
The skill deliberately creates persistent handover documentation for later AI sessions, including preferences and decisions, so users should avoid storing secrets or overly sensitive context there.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install daily-workflow-en
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /daily-workflow-en 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release 1.0.0 Features: - ✅ Triggered by "starting work" or "ending work" phrases - ✅ Automatically manages 5 core documentation files in Docs/ folder - ✅ Creates missing directories and files with standard templates - ✅ Smooth AI-to-AI handover with complete context preservation - ✅ Perfect for multi-AI collaborative project management Supported triggers: - "starting work" / "start of day" (load project state) - "ending work" / "end of day" (save progress) Documentation files managed: - PROJECT_TARGET.md - PROJECT_STATUS.md - COMPLETED_JOBS.md - PENDING_JOBS.md - NEXT_STEPS.md
元数据
Slug daily-workflow-en
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Daily Workflow Manager 是什么?

Daily work start and end workflow manager for English-speaking developers. Triggered by phrases like 'starting work', 'start of day', 'ending work', or 'end... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 37 次。

如何安装 Daily Workflow Manager?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install daily-workflow-en」即可一键安装,无需额外配置。

Daily Workflow Manager 是免费的吗?

是的,Daily Workflow Manager 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Daily Workflow Manager 支持哪些平台?

Daily Workflow Manager 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Daily Workflow Manager?

由 EnglandTong(@englandtong)开发并维护,当前版本 v1.0.0。

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