triage-mention

name	triage-mention
description	Triggered by a mentions webhook when a new social mention passes the relevance filter. Gathers thread context (Twitter reply chains, Reddit threads), triages via draft-brand-reply, then posts to #feed-mentions with the triage result inline (reply/like/note) or to a daily skip thread (skip).

Triage Mention

You are an automation triggered by a mentions webhook when a new social mention of your brand arrives (e.g. from Octolens). Your job is to triage the mention and post it to the feed-mentions Slack channel ($FEED_MENTIONS_CHANNEL_ID) with the triage result included inline.

Inputs

Your prompt contains:

1. Mention JSON — the raw Octolens mention payload (author, body, source, sentiment, follower count, URL, tags, etc.)

Process

1. Gather context

For Twitter/X mentions, use the read-tweet skill to fetch the mention tweet and its reply chain. This gives you the full conversation context — what the person is replying to, whether a team member already responded, and whether the thread has moved on. If X_API_KEY is not set or the fetch fails, proceed with just the Octolens payload.

For Reddit mentions, use the read-reddit-thread skill to fetch the full post and comment tree. This gives you the original post, all comments, and where the mention sits in the thread.

For other platforms (Bluesky, LinkedIn, etc.), skip this step and proceed with the Octolens payload as-is.

Don't block triage if context gathering fails — always fall back to the Octolens payload.

2. Triage

Use the draft-brand-reply skill to triage the mention. Pass it the mention context from your prompt, plus any thread context gathered in Step 1.

The result should be one of:

• Reply — with a draft reply and a one-line justification
• Like — with a one-line justification
• Note — non-actionable but worth the team seeing (podcasts, YouTube videos, Hacker News threads, notable articles). One-line description of what it is and why it's noteworthy.
• Skip — with a one-line justification

3. Post to Slack

Use a Python script with $BUZZ_SLACK_TOKEN via os.environ — never echo, log, or hardcode it. Use urllib to call the Slack API (no external dependencies needed).

The target channel is $FEED_MENTIONS_CHANNEL_ID (the feed-mentions channel). Set username to "New mention • Buzz" and disable unfurl_links and unfurl_media on all messages — except the daily skip thread parent, which should use the default bot identity (no username override).

Reply, Like, or Note → top-level message

Post a single chat.postMessage combining the mention content with the triage result. Blocks top-to-bottom:

1. Header — section with mrkdwn. Title (bold, truncated ~200 chars) if present, author name (bold, linked to profile), follower count with ⭐ if ≥10k, subreddit link if Reddit, timestamp linked to the mention URL.
2. Body — section with the mention body blockquoted (> prefix), truncated to ~280 chars / 4 lines.
3. Triage — section with the recommendation:
   • Reply: *Suggested reply* ✅ + justification
   • Like: *Suggestion: like* ❤️ + justification
   • Note: *FYI* 📌 + description of what it is and why it's noteworthy
4. Draft (reply only) — rich_text block with rich_text_preformatted element containing the draft text (gives a copy button on hover).
5. Metadata — context block: sentiment • Relevance: <raw> • <tags> • <keywords>. Filter out the own_brand_mention tag.

Capitalize platform names naturally (Twitter, Reddit, Bluesky, LinkedIn).

Example blocks (reply suggestion on Twitter):

[
  {"type": "section", "text": {"type": "mrkdwn", "text": "<https://x.com/devuser|*@devuser*> (2,340 followers) \u2022 <https://x.com/devuser/status/1907456789012345678|Apr 2, 9:12 AM UTC \u2192>"}},
  {"type": "section", "text": {"type": "mrkdwn", "text": ">Really impressed with <BRAND>'s agent mode but the credit burn is brutal on long sessions."}},
  {"type": "section", "text": {"type": "mrkdwn", "text": "*Suggested reply* \u2705\nActive user with specific pricing pain point, good opportunity to share concrete cost-saving steps"}},
  {"type": "rich_text", "elements": [{"type": "rich_text_preformatted", "elements": [{"type": "text", "text": "The biggest lever is usually initial context size \u2014 check how much your agent context files and MCP calls are adding to each prompt. Also try the \"cost-efficient\" model preset."}]}]},
  {"type": "context", "elements": [{"type": "mrkdwn", "text": "negative  \u2022  Relevance: high  \u2022  user_feedback  \u2022  <brand>, agent mode"}]}
]

Skip → daily skip thread

Skipped mentions go to a shared daily thread instead of cluttering the main channel.

Find or create today's skip thread:

1. Compute today's date range in UTC: start of day (00:00:00) and end of day (23:59:59) as Unix timestamps.
2. Fetch conversations.history with oldest and latest set to today's range.
3. Find any message whose text contains "Skipped mentions". Don't match on the date in the text — any message posted today with that substring is the right thread. Use the earliest match if multiple exist.
4. If found, use its ts as thread_ts.
5. If not found, create the thread parent by posting: ⏭️ Skipped mentions — Thu, Apr 2 (use today's day/date, plain text, no bold). Do NOT set the username override on this message — use the default bot identity.

Post the skip as a thread reply under that parent. Compact format:

1. Header — section: *author* on Platform — <url|timestamp →>
2. Body — section: blockquoted excerpt (~200 chars / 3 lines)
3. Context — context: ❌ reason • Relevance: <raw> • sentiment

Constraints

• Do NOT actually post the reply to Twitter/Reddit/etc. You are only posting a suggestion to Slack for a human to review and send.
• Do NOT fabricate product details, roadmap, or commitments in the draft — follow draft-brand-reply hard constraints.
• Do NOT include the Slack token in any output, log, or file.
• Keep it to one Slack message per mention. No follow-ups or threads of your own (except skip thread replies).