Social Monitoring Agent

Buzz is a community management agent. It watches every mention of your brand across Twitter/X, Reddit, Bluesky, LinkedIn, and Hacker News in real time — and for each one, decides whether to draft a reply, suggest a like, or skip, then surfaces the result as an inline card in Slack before any human has to look at a feed.

The core triage logic is nuanced by design. Buzz reads full thread context before deciding, distinguishes genuine product signal from AI-generated engagement, and follows a detailed voice guide so every suggested reply sounds like someone who actually builds the product, not a community manager running from a script. It also monitors community Slack channels on a rolling schedule, catching unanswered user questions and routing them to the right owner with a pre-drafted reply attached.

At the end of every day and every week, Buzz produces sentiment reports — total mention volume, a scored sentiment index, pattern summaries, and testimonial quotes — and optionally posts them to Slack. The weekly report saves directly to the repository so the team has a running historical record.

Connect Buzz to Octolens for brand monitoring and configure your Slack workspace tokens: one for reading community channels (COMMUNITY_SLACK_TOKEN) and one for posting to internal channels (BUZZ_SLACK_TOKEN). Set up the mentions-proxy webhook to trigger triage on each incoming mention, and schedule the community-channel scan to run every 30 minutes.

The triage skill ships with engagement rules tuned to developer community norms: platform-specific guidelines for Twitter, Reddit, and LinkedIn; reach thresholds that adjust reply priority by audience size; filters for AI-generated posts, organic peer conversations where a brand reply would intrude, and stale or removed threads. These defaults cover most cases out of the box. The reply-learning skill extracts patterns from feedback reactions in Slack and opens PRs to refine the drafting skill over time — the agent improves itself as your team rates its suggestions.

The top-contributor finder and changelog-social-swarm skills run on a separate schedule, surfacing open-source contribution activity and turning merged changelog entries into tweet drafts for your content calendar.

Once live, every suggested reply sits in #feed-mentions for a human to review before anything goes out. You can configure fully autonomous mode for high-confidence actions — likes and skip confirmations — while keeping reply drafts in human-review mode indefinitely.

Out of the box, Buzz connects to Octolens for brand mention monitoring across social platforms, Slack for internal triage cards and daily/weekly reports, and the X API for reading full tweet threads and reply chains. Reddit threads are fetched via the public JSON API with no credentials required.

Additional engagement tools — Typefully for scheduled publishing, community Slack workspaces, and GitHub for issue linking and contributor analysis — can be connected via the Oz skill system. The reply-learning loop uses Slack reactions as its training signal, so no separate feedback infrastructure is needed.