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.