Engagement Act

Identify unactioned engagement opportunities and draft ready-to-post replies.

Updated Jun 3, 2026
One-click install
npx skills add https://github.com/swarm-ai-research/aeon --skill engagement-act-swarm-ai-research
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Engagement Act
Source: https://github.com/swarm-ai-research/aeon/tree/main/skills/engagement-act
Command: npx skills add https://github.com/swarm-ai-research/aeon --skill engagement-act-swarm-ai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identifies unactioned engagement opportunities from memory and logs and drafts ready-to-post replies.

Core Features & Use Cases

  • Collect unactioned engagement opportunities by scanning memory/logs from the last 7 days.
  • Prioritize opportunities by recency and influence, capping at 5 to prevent overload.
  • Draft ready-to-post responses for X replies, DMs, and GitHub comments; outputs are copy-paste ready.
  • Prepend aging notes for opportunities older than 5 days and log outcomes for traceability.
  • Write results to a temp file and push a notification via the sandbox tool; log activity to memory.

Quick Start

Run the Engagement Act skill to scan recent logs and draft up to 5 copy-paste ready replies.

Frequently Asked Questions about Engagement Act

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

FAQPage Schema
How do I draft ready-to-post replies for unactioned social media and GitHub comments?

To draft ready-to-post replies, the system scans memory and logs from the last 7 days to identify unactioned engagement opportunities, prioritizes them by recency and influence, and generates copy-paste ready responses for X, DMs, and GitHub comments.

What is the best way to track and prioritize engagement opportunities from recent logs?

The best way to track engagement opportunities is by scanning memory and logs from the last 7 days, prioritizing findings by recency and influence, and capping the list at 5 opportunities to prevent overload while ensuring high-value interactions are actioned first.

Can I use memory analysis to automate reply drafting for X and GitHub?

Yes, memory analysis is used to automate reply drafting by reading recent logs to find unactioned mentions and comments, then drafting ready-to-post replies for social channels like X and GitHub, outputting them to a temporary Markdown file.

Does the engagement opportunity tracker support notifications for aging or stale comments?

Yes, the tracker performs staleness checks and prepends aging notes for opportunities older than 5 days, then sends the drafted replies via the notification tool to ensure outdated engagement opportunities are clearly flagged.

How many engagement opportunities can I process at once?

You can process up to 5 engagement opportunities at once, as the system caps the output at 5 prioritized items to prevent overload and maintain focus on the most influential recent interactions.