Agent skill · Content & Marketing

social-pulse-monitor

Use when the user asks to "monitor brand mentions", "set up social listening", "did anything spike about us this week", or "watch these accounts for buying triggers"; runs always-on keyless listening — a versioned listening-query architecture (brand variants incl. misspellings and 中文 names, exclusion terms, per-source syntax for HN Algolia / Bluesky / GDELT / Tavily), a mention sweep with six-class triage (crisis / bug / lead / praise / question / spam) each routed with an SLA, a 7-day rolling baseline with spike flags (the crisis trigger input), a B2B trigger watchlist (funding / hiring / lau

aaron-he-zhugithub.com/aaron-he-zhuGitHub ↗
claude-codeApache-2.0
Install
npx skills add aaron-he-zhu/aaron-marketing-skills --skill social-pulse-monitor --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 13 KB
Bundled scripts: none
Version: 19.1.0
Requires: Claude Code and compatible agent-skill hosts
Path: social/observe/social-pulse-monitor/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,508
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Social Pulse Monitor Always-on brand and community listening — the ears of the ECHO **Observe** phase. It maintains the listening-query architecture, sweeps the keyless public surfaces for mentions, triages each one to an owner with an SLA, and keeps the 7-day rolling baseline whose spike flag is the trigger input for [crisis-response-planner](../../host/crisis-response-planner/SKILL.md). It feeds three ECHO `O` sub-items directly: *7-day listening baseline maintained with spike thresholds set*, *listening-query architecture current (brand variants incl. 中文 names and misspellings, exclusion terms, per-source syntax)*, and *community-health metrics employee-excluded* (see [echo-benchmark.md](../../../references/echo-benchmark.md)). Only [social-quality-auditor](../../host/social-quality-auditor/SKILL.md) computes the ECHO profile result and runs the vetoes; this skill supplies the listening facts. **Scope guard**: this skill listens and routes — it never responds. Drafting replies and UGC rights collection stay with [engagement-inbox-manager](../../host/engagement-inbox-manager/SKILL.md); declaring a crisis and pausing the queue stay with [crisis-response-planner](../../host/crisi

What's inside
Steps it walks through
  1. Quick Start
  2. Skill Contract
  3. Handoff Summary
  4. Data Sources
  5. Instructions
  6. Save Results
  7. Reference Materials
  8. Next Best Skill
More from aaron-marketing-skills
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About this skill
What does the social-pulse-monitor skill do?

Use when the user asks to "monitor brand mentions", "set up social listening", "did anything spike about us this week", or "watch these accounts for buying triggers"; runs always-on keyless listening — a versioned listening-query architecture (brand variants incl. misspellings and 中文 names, exclusion terms, per-source syntax for HN Algolia / Bluesky / GDELT / Tavily), a mention sweep with six-class triage (crisis / bug / lead / praise / question / spam) each routed with an SLA, a 7-day rolling baseline with spike flags (the crisis trigger input), a B2B trigger watchlist (funding / hiring / lau

How do I install it?

Run `npx skills add aaron-he-zhu/aaron-marketing-skills --skill social-pulse-monitor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From aaron-he-zhu/aaron-marketing-skills, a repository with 2,508 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going