daily-memory

Log daily work entries with timestamps into date-stamped markdown files.

3|Updated Feb 6, 2026
One-click install
npx skills add https://github.com/pinion05/skills --skill daily-memory
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: daily-memory
Source: https://github.com/pinion05/skills/tree/main/daily-memory
Command: npx skills add https://github.com/pinion05/skills --skill daily-memory

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides a lightweight mechanism to log your daily work with timestamps, making completed tasks searchable, attributable, and auditable over time.

Core Features & Use Cases

  • Lightweight, date-stamped daily logs stored in a predictable file structure.
  • A single CLI script that creates missing files and appends timestamped entries.
  • Use case: at day's end, capture what you did and why for quick audits or future reference.

Quick Start

Use the script to add a new entry to today's log: python3 scripts/log.py --text "Completed task" --tags "productivity,development"

Frequently Asked Questions about daily-memory

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I log daily work entries with timestamps for audits?

You can log daily work with timestamps by running a Python script that appends text entries to date-stamped markdown files. The script initializes missing daily files and records entries for future audits.

What is a timestamped daily log and when do I need one?

A timestamped daily log is a markdown file recording completed tasks with exact times. You need it when making daily activity attributable, searchable, and auditable over time.

Can I use a Python CLI script to create daily markdown files automatically?

Yes, a Python CLI script can create daily markdown files automatically. The script creates missing directories, initializes the daily file, and appends time-stamped entries in a primary or fallback location.

Do I need any dependencies to run a daily work logging script?

No dependencies are required to run this daily work logging script. It relies on a standalone Python script and local directory paths to store date-stamped markdown files.

What is the best way to record daily activity in local directories?

The best way to record daily activity in local directories is using a single CLI script that creates date-stamped markdown files and appends timestamped entries with text and tags for quick reference.

Are there limitations to logging daily work in local markdown files?

Logging daily work in local markdown files relies on local directory storage and manual CLI execution. Without a centralized database, searching across many date-stamped files for specific audit entries may become challenging.