prod-end-of-day

Consolidate agent memory, ADW logs, meetings, tasks, and git changes into an end-of-day report.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consolidates dispersed daily outputs from multiple agents, logs, meetings, tasks, and repository changes into a single, actionable end-of-day record so users avoid manual aggregation and missed follow-ups.

Core Features & Use Cases

  • Comprehensive Data Collection: Silently reads agent memory, ADW JSONL logs, meeting summaries, todoist results, and git activity to assemble a complete view of the day.
  • Decision and Learning Capture: Identifies decisions made, new learnings, and real pending items, and saves relevant entries to persistent memory while avoiding duplicates.
  • Daily Log Generation & Notifications: Fills a templated end-of-day log, stores it in workspace/daily-logs, organizes tasks via review routines, and optionally notifies the user via Telegram.
  • Use Case: At the end of a fast-paced product sprint day, run this Skill to produce the day's consolidated report, update memory with decisions, and receive a short Telegram summary for stakeholders.

Quick Start

Run the prod-end-of-day skill with the phrase "end of day" to consolidate today's activities, save the daily log, and send a brief Telegram summary if configured.

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 automate daily consolidation of git changes, tasks, and agent memory logs?

Automate daily consolidation by running an end-of-day routine that reads agent memory, todoist tasks, and git activity to generate a single actionable report. This prevents manual aggregation of dispersed daily outputs and avoids missed follow-ups across multi-agent workspaces.

What is the best way to generate an end-of-day report from ADW JSONL logs and meeting summaries?

The best way to generate an end-of-day report from ADW JSONL logs and meeting summaries is to use a consolidation routine that silently reads workspace directories, fills a templated daily log, and stores the output in a dedicated daily-logs folder for review.

Can I send a daily summary of product sprint activities to Telegram automatically?

Yes, you can send a daily summary to Telegram automatically by configuring optional Telegram credentials within your daily consolidation routine. The process generates a brief notification summarizing decisions, pending tasks, and repository changes for stakeholders.

How does decision and learning capture work when consolidating daily agent memory?

Decision and learning capture works by identifying new decisions and pending items from daily activities, then saving relevant entries to persistent agent memory while avoiding duplicates. This ensures that learnings from meetings and logs are retained for future multi-agent operations.

Do I need todoist and git command outputs to run a daily log consolidation routine?

Yes, you need todoist and git command outputs along with access to workspace directories including agent-memory and ADW logs. These inputs provide the tasks and repository changes required to assemble a complete view of the day for your end-of-day report.

When should I not use an automated end-of-day consolidation approach for my workspace?

You should not use automated end-of-day consolidation when your workspace lacks structured ADW JSONL logs, meeting summaries, or agent memory files. Without these consistent directory structures and task outputs, the routine cannot reliably extract decisions and pending follow-ups.