daily-workflow-en

Daily work start and end workflow manager for English-speaking developers. Triggered by phrases like 'starting work', 'start of day', 'ending work', or 'end of day'. Manages project documentation (Docs/ folder): PROJECT_TARGET.md, PROJECT_STATUS.md, COMPLETED_JOBS.md, PENDING_JOBS.md, and NEXT_STEPS.md. Ensures smooth AI-to-AI project handover with clear context preservation.

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Install skill "daily-workflow-en" with this command: npx skills add englandtong/daily-workflow-en

Daily Workflow Skill (English Version)

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

When to Use This Skill

Trigger this skill when the user mentions:

  • "starting work" / "start of day" / "let's begin" - Starting the work day
  • "ending work" / "end of day" / "wrapping up" - Ending the work day

These phrases indicate intentional work session boundaries where project state should be captured and restored.

Core Workflow

Phase 1: Start Work Session

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

  1. Ensure Docs Directory Exists

    • Check if Docs/ directory exists in workspace root
    • Create Docs/ if it does not exist
  2. Check and Create Required Files

    • Verify these five files exist in Docs/:
      • PROJECT_TARGET.md - Project objectives and goals
      • PROJECT_STATUS.md - Current project status
      • COMPLETED_JOBS.md - Completed work items
      • PENDING_JOBS.md - Pending/incomplete work items
      • NEXT_STEPS.md - Planned next steps
    • Create any missing files with appropriate template headers
  3. Read All Documentation

    • Read all five files from Docs/
    • Extract key information:
      • Current project objectives
      • Latest project status
      • Recently completed work
      • Pending tasks and blockers
      • Planned next steps
  4. Present Work Session Briefing

    • Summarize current project state
    • Highlight completed work since last session
    • Identify pending tasks
    • Suggest priority work for current session
    • Ask user for confirmation or adjustments to the plan

Phase 2: End Work Session

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

  1. Update Completed Jobs

    • Append today's completed work items to Docs/COMPLETED_JOBS.md
    • Use format: ## [YYYY-MM-DD]\n- [completed item 1]\n- [completed item 2]
    • Include sufficient detail for another AI to understand what was done
  2. Update Pending Jobs

    • Update Docs/PENDING_JOBS.md with:
      • Tasks started but not completed
      • Blockers encountered
      • Tasks deferred to next session
    • Remove completed items from pending list
  3. Update Project Status

    • Update Docs/PROJECT_STATUS.md with:
      • Current completion percentage
      • Key milestones reached
      • Current focus area
      • Any changes in project direction
  4. Update Project Target (if needed)

    • Modify Docs/PROJECT_TARGET.md only if:
      • Project objectives have changed
      • New requirements discovered
      • Scope adjustments needed
    • Otherwise, leave unchanged
  5. Update Next Steps

    • Write clear, actionable next steps to Docs/NEXT_STEPS.md
    • Include:
      • Specific tasks to tackle next session
      • Priority order
      • Any prerequisites or dependencies
      • Context needed to resume work immediately
  6. Present Session Summary

    • Summarize what was completed
    • List updated documentation files
    • Confirm next steps are clearly documented
    • Ensure handover-ready state for next AI

File Templates

When creating missing files, use these templates:

PROJECT_TARGET.md

# Project Target

## Project Overview
[Describe the project's main objective]

## Key Goals
- [Goal 1]
- [Goal 2]

## Success Criteria
- [Criterion 1]
- [Criterion 2]

## Last Updated
[YYYY-MM-DD]

PROJECT_STATUS.md

# Project Status

## Current Status
[Brief description of current state]

## Completion
[XX]% complete

## Current Focus
[What is being worked on now]

## Recent Milestones
- [YYYY-MM-DD] [Milestone description]

## Last Updated
[YYYY-MM-DD]

COMPLETED_JOBS.md

# Completed Jobs

## [YYYY-MM-DD]
- [Completed task 1]
- [Completed task 2]

## [YYYY-MM-DD]
- [Completed task 1]

PENDING_JOBS.md

# Pending Jobs

## High Priority
- [ ] [Task 1]
- [ ] [Task 2]

## Medium Priority
- [ ] [Task 3]

## Low Priority
- [ ] [Task 4]

## Blockers
- [Blocker description if any]

NEXT_STEPS.md

# Next Steps

## Immediate Actions (Next Session)
1. [Action 1 - with context]
2. [Action 2 - with context]

## Upcoming Tasks
- [Task 1]
- [Task 2]

## Notes for Next AI
[Important context, decisions made, things to remember]

AI-to-AI Handover Principles

Write all documentation assuming the next reader will be a different AI instance that needs to:

  • Understand what was being built and why
  • Resume work without asking basic questions
  • Continue the same coding style and conventions
  • Respect decisions already made

Key practices:

  • Write in detail, not shorthand
  • Explain the "why" not just the "what"
  • Include code snippets or file references when relevant
  • Note any workarounds, hacks, or technical debt
  • Record user preferences and decisions

Workflow Diagram

User indicates work starting
    ↓
Check Docs/ exists → Create if missing
    ↓
Check 5 files exist → Create missing with templates
    ↓
Read all 5 files
    ↓
Present work session briefing
    ↓
User works with AI assistance
    ↓
User indicates work ending
    ↓
Update COMPLETED_JOBS.md
    ↓
Update PENDING_JOBS.md
    ↓
Update PROJECT_STATUS.md
    ↓
Update PROJECT_TARGET.md (if needed)
    ↓
Update NEXT_STEPS.md
    ↓
Present session summary
    ↓
Project state saved for next AI

Important Notes

  • Always use absolute paths when referencing Docs/ directory
  • Append to COMPLETED_JOBS.md (never overwrite previous entries)
  • Overwrite NEXT_STEPS.md each session (it's for the immediate next session)
  • Preserve historical information in PROJECT_STATUS.md and COMPLETED_JOBS.md
  • When in doubt, write more context, not less
  • This skill supports both English and Chinese trigger phrases for flexibility

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