daily-routine

name	daily-routine
description	Daily Routine Automation - Automates the super-individual daily workflow: email check, code review, task management, research tracking, skill maintenance. All automated, all traceable.
version	1.0.0
author	Synthos
license	MIT
allowed-tools	shell (bash), Read (view), Write (write), task_delegation
metadata	{"synthos":{"priority":"P1","atom_type":"cognitive_atom","description":"Daily routine automation - orchestrates email, code, tasks, research, and skill maintenance into a single daily workflow","signature":"date: str -> daily_report: dict, actions: list[str]","related_skills":["apple-notes","apple-reminders","github-code-review","productivity","evolution"]}}

Daily Routine Automation (日常自动化)

Core Positioning

一日之计在于晨，一年之计在于春。 A super individual does not react - they proactively manage. Daily automation ensures nothing falls through the cracks.

Goal: Create an automated daily workflow that handles email, code review, task management, research tracking, and skill maintenance - all traceable through the evolution log.

IO_CONTRACT

• input: date: str - Date for the daily run (defaults to today)
• output: daily_report: dict - Summary of all automated actions
• output: actions: list[str] - List of actions taken (for audit trail)
• output: pending_items: list[dict] - Items requiring human review

Daily Workflow

06:00 - Morning Check

1. Email Scan (if email integration available)

   • Check for new emails since last run
   • Flag urgent/important items
   • Generate email summary

2. Research Pulse

   • Check Semantic Scholar/arXiv for new papers in key domains
   • Flag papers matching current research topics
   • Queue for ACQ (knowledge acquisition)

3. Code Health

   • Check Git status (uncommitted changes, new files)
   • Run quick YAML/Markdown validation
   • Flag broken references or files

09:00 - Deep Work Preparation

4. Task Triage

   • Review pending tasks from Apple Reminders
   • Prioritize by: deadlines > impact > effort
   • Update task state in knowledge system

5. Research Priority

   • Check paper pipeline status
   • Identify papers ready for submission
   • Flag papers needing attention

6. Skill Maintenance

   • Run quick structural probe on all SKILL.md files
   • Check for YAML validity
   • Flag any drifted references

12:00 - Midday Sync

7. Progress Check

   • Update evolution log with morning actions
   • Check if any evolution cycles need resuming
   • Generate midday progress report

8. Social/Network Pulse (optional)

   • Check Twitter/LinkedIn for mentions
   • Track relevant research discussions
   • Flag engagement opportunities

18:00 - Evening Wrap

9. Daily Summary

   • Compile all morning + afternoon actions
   • Generate daily summary report
   • Update personal knowledge base

10. Tomorrow Prep

    • Identify top 3 priorities for tomorrow
    • Queue any automated tasks
    • Record daily state in evolution log

Quality Control

• P0 Evidence traceability: Every action recorded in evolution log
• P1 Atomic reproducibility: Each daily step independently executable
• P2 Stability sinking: Validated daily patterns become standard
• P3 Human-machine layering: Human reviews all flags and decisions

Output Files

• outputs/daily/{date}.md - Daily summary report
• outputs/daily/{date}.json - Structured daily data
• .evolution/reviews/daily/{date}/audit.md - Daily audit trail

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一日三省吾身。自动化不是替代，是增强。