prod-end-of-day

Consolidate end-of-day activity into a daily log from memory, logs, meetings, tasks, and Git changes.

520|175|Updated Apr 8, 2026
One-click install
npx skills add https://github.com/evolution-foundation/evo-nexus --skill prod-end-of-day-evolution-foundation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: prod-end-of-day
Source: https://github.com/evolution-foundation/evo-nexus/tree/main/.claude/skills/prod-end-of-day
Command: npx skills add https://github.com/evolution-foundation/evo-nexus --skill prod-end-of-day-evolution-foundation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It prevents end-of-day work from being missed or scattered by consolidating daily activity—agent memory, ADW logs, meetings, tasks, and learnings—into a single structured daily record.

Core Features & Use Cases

  • Daily consolidation: Produces a complete end-of-day summary that reflects what actually happened during the session, including routines run and what changed in the workspace.
  • Learning capture and memory updates: Identifies decisions, learnings, and relevant context, then saves new or non-duplicative items to persistent memory.
  • Task organization: Reviews and recategorizes today’s tasks so the next day starts with clean, well-labeled actionable items.
  • Use Case: After running a full work session, trigger this skill with “end of day” to generate an accurate daily log, store key learnings, and organize remaining tasks for tomorrow.

Quick Start

Say to your assistant: “End of day and generate my daily log, update memory, and organize today’s tasks.”

Frequently Asked Questions about prod-end-of-day

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

FAQPage Schema
How do I generate a daily log from agent memory, Todoist tasks, and git diff at the end of a work session?

To generate a daily log, trigger an end-of-day routine that reads local workspace data paths, analyzes agent memory, ADW JSONL routines, meeting summaries, Todoist tasks, and git changes, then writes the consolidated summary to a daily log markdown file.

What is the best way to consolidate end-of-day activity and capture learnings across multiple projects?

The best way to consolidate end-of-day activity is to analyze cross-source workspace data including ADW routines and git diffs, summarize decisions and learnings without fabrication, and save non-duplicate items to persistent agent memory for cross-project tracking.

Can I automatically recategorize Todoist tasks when closing out my daily work?

Yes, an end-of-day consolidation routine can review and recategorize today's Todoist tasks so the next day starts with clean, well-labeled actionable items based on your daily log output.

Does this daily log approach work with local ADW JSONL routines and meeting summaries?

Yes, the daily log consolidation explicitly reads local workspace data paths to analyze ADW JSONL routines and meeting summaries alongside agent memory and git changes for an accurate cross-source wrap-up.

How do I prevent duplicate entries when saving learning captures to agent memory?

To prevent duplicate entries, the end-of-day routine identifies decisions and learnings from the session, then saves only new or non-duplicative context items to the workspace memory system.

What format does the end-of-day daily log use to save workspace status reports?

The end-of-day daily log saves the filled workspace status report as a markdown file named YYYY-MM-DD.md inside the workspace/daily-logs directory, structured with decisions, learnings, and pending items.