What does the 15 Social Listening Global AI skill do?

Use when the user wants to monitor what is being said about the brand, competitors, and the category — channels and keywords to track, sentiment scoring, weekly and monthly listening reports, brand health metrics, early crisis detection, and content opportunities pulled from real conversations. Trigger on 'social listening', 'brand monitoring', 'sentiment analysis', 'what are people saying about us', 'track our mentions', 'monitor competitors online'. Also use when the user spotted a bad comment thread and wants to know if it is spreading. Not for — responding to a crisis already underway,...

Why use 15 Social Listening Global on TypingMind?

Because you install it once and use it with any model. 15 Social Listening Global is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install 15 Social Listening Global in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/15-social-listening-global. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 15 Social Listening Global?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with 15 Social Listening Global?

As many as you like. As long as a model supports skills, you can use 15 Social Listening Global with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 15 Social Listening Global AI skill free?

Yes. It is published on GitHub by minhnv0807 under the MIT license. You only pay your own AI provider for the tokens you use.

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

15 Social Listening Global by minhnv0807 — AI Skill for Any LLM

Social Listening & Monitoring (Global)

Listen before you speak. Understand what customers are saying, how they feel, and where the market is headed — before competitors do.

Information Gathering

Ask up to 4 questions:

Brand / product? Brand name, primary product names, founder name (if personal brand).
Main competitors? List 2–3 direct competitors to monitor.
Current concern? Bad reviews? Trend tracking? Competitor watch?
Most important channels? Twitter/X, Reddit, TikTok, Instagram, Google Reviews, all of the above?

Framework: Listen → Analyze → Report → Act


LISTEN    — Collect mentions, comments, reviews, related posts
    |
ANALYZE   — Classify sentiment, identify trends, detect anomalies
    |
REPORT    — Aggregate into weekly/monthly reports with clear insight
    |
ACT       — Respond, adjust strategy, manage crises

Channels to Monitor (Global)

Channel List

Channel	Content type	How to monitor	Frequency
Twitter / X	Mentions, threads, retweets	Native search + saved searches + Tweetdeck	Daily
Reddit	Subreddit discussions, AMAs	Subreddit search + Reddit RSS	Daily
TikTok	Comments, duets, stitches, hashtags	Hashtag search + comments on brand videos	Daily
Instagram	Comments, mentions, story tags	Native notifications + hashtag search	Daily
Facebook Groups	Discussions, Q&As, reviews	Group keyword search	Daily
Facebook Pages	Comments, reviews, mentions	Page notifications + keyword search	Daily
YouTube	Video comments, review videos	Search brand + product names	2–3x/week
Google Reviews	Business reviews	Google Business Profile dashboard	Daily
Google Search	Articles, news	Google Alerts on brand keywords	Automated
Trustpilot / G2 / Capterra	Product/service reviews	Native dashboards + email alerts	Daily
Discord communities	Niche industry discussions	Server-by-server, manual	2x/week
LinkedIn	Posts, mentions (B2B)	LinkedIn search + saved searches	2x/week
Quora	Questions about brand/category	Topic follows + alerts	Weekly
Online press	News articles, PR	Google News Alerts	Automated
Amazon / Shopee / Etsy	Product reviews	Review tab on listings	2–3x/week

Keywords to Monitor

Keyword group	Examples
Brand name	"[Brand]", "[Brand] review", "[Brand] scam", "[Brand] worth it"
Product name	"[Product]", "[Product] price", "[Product] review"
Founder name	"[Founder]", "[Founder] who"
Competitors	"[Competitor 1]", "[Competitor 2]", "[Competitor] vs [Brand]"
Industry	"[Industry keyword]", "[Common industry pain]"
Negative phrases	"not good", "disappointed", "scam", "low quality", "false advertising"
Positive phrases	"amazing", "recommend", "best ever", "worth it", "loving it"

Sentiment Analysis

Sentiment Scale

Level	Score	Description	Example
Very negative	1	Outrage, public callout, boycott calls	"Total scam, reporting them to FTC"
Negative	2	Disappointment, complaint, unfavorable comparison	"Tried it for 3 months, way worse than X"
Neutral	3	Asking info, comparison, on-the-fence	"Anyone tried [Brand]? Thoughts?"
Positive	4	Satisfied, recommends, praises	"Been using for 3 months, happy with it"
Very positive	5	Enthusiastic advocate, brand champion	"Best service ever, told all my friends"

Categorization by Topic

Topic	What to monitor	Meaning
Product / Quality	Reviews, comparisons, feedback	Product improvement
Service / Experience	Comments about staff, processes	Operations improvement
Pricing	Price comparisons, complaints	Pricing/communication adjustment
Marketing / Advertising	Reactions to content, ads	Creative improvement
Competitors	Comparisons, switching mentions	Opportunity or threat

Crisis Detection

Early Warning Signals

Level	Signal	Threshold	Action
Green — Normal	Steady mentions, neutral/positive sentiment	<5 negative mentions/day	Standard monitoring
Yellow — Watch	Rising negative mentions, 1–2 high-engagement complaint posts	5–15 negative mentions/day OR 1 post >100 engagements	Increase monitoring frequency, prep response
Orange — Alert	Negative mentions spreading fast, press picking up	15–50 negative mentions/day OR press coverage	Activate response workflow, brief leadership
Red — Crisis	Viral negative, opposition hashtags, revenue impact	>50 negative mentions/day OR trending topic	Full crisis response activation

Crisis Response Workflow

Step 1 — Identify (within 1 hour)

Item	What to check
Origin	Which post/comment started it? Who posted?
Spread velocity	How many shares/comments? How fast is it growing?
Accuracy	Is the claim accurate? Is there evidence?
Impact	Who's affected? Customers, partners, employees?

Step 2 — Respond (within 2–4 hours)

Situation	Response approach
Valid complaint	Apologize + acknowledge + concrete fix + timeline
Misinformation	Official correction + evidence + calm tone
Trolls / defamation	Don't argue publicly + save evidence + report to platform
Major crisis	Press statement + founder video + continuous updates

Step 3 — Resolve (1–7 days)

Item	What to do
Direct resolution	Privately contact the complainant, resolve individually
Public update	Communicate progress on main channels
Lessons learned	Internal post-mortem, root cause, prevention plan
Post-crisis monitoring	Sentiment tracking 2 weeks after, measure brand impact

Step 4 — Recover (2–4 weeks)

Item	What to do
Recovery content	Boost positive social proof, testimonials, case studies
Positive PR	Articles about improvements, quality commitments
Engagement push	Increase community responsiveness, faster reply time
Effectiveness	Compare sentiment before — during — after crisis

Niche Research — 20 hot topics in 7 days

Niche research, adapted for global channels.

Goal

Each week, surface the 20 hottest topics/trends in your niche to:

Create timely content (don't lag competitors)
Spot content opportunities first
Know what customers are arguing/curious about

Research Workflow (30–45 min/week)

Step	Source	How	Time
1	Reddit (niche subreddits)	Sort by Top this week, scan high-engagement posts	10 min
2	TikTok Discover	Hashtag search, filter 7-day, review videos > 50K views	10 min
3	Google News	Search "[industry] news", filter past 7 days	5 min
4	Twitter / X (industry lists)	Saved lists of industry voices, scan top tweets	5 min
5	Industry forums / Discord	Active threads from past 7 days	5 min
6	KOL / Influencer feeds	Watch what 5–10 niche leaders posted this week	5 min

Output Format

markdown
# Niche Research — Week [X] ([DD/MM] – [DD/MM/YYYY])

| # | Topic / Trend | Source | Heat | Discussion focus | Content angle | Suggested post |
|---|---------------|--------|------|------------------|---------------|----------------|
| 1 | [Topic] | Reddit / TikTok / News | High/Med/Low | [Summary] | [Description] | [Idea] |
| 2 | ... | ... | ... | ... | ... | ... |
| ... | ... | ... | ... | ... | ... | ... |
| 20 | ... | ... | ... | ... | ... | ... |

Rules

7-day window only — anything older drops out
Verify post date before adding to the table
Never invent links or stats — real data only
If you can't find 20 — record the actual count, don't pad
Prioritize topics with debate or high engagement — not just news
Tip: pair with Content Matrix → take hot topics → fill matrix → timely content

Trend Identification

Trend Types to Watch

Type	Description	Action
Rising topic	New industry topic gaining discussion	Create content early, claim first-mover
Viral format	Spreading content format (sound, POV, trend)	Adapt for brand within 24–48h
Seasonal	Recurring seasonal trends	Plan 2–4 weeks ahead
Competitor moves	New campaigns, new products, pricing changes	Analyze + strategic response
Industry sentiment	Shifts in overall industry feeling (e.g. trust loss, rising expectation)	Adjust tone, messaging

Detection Methods

Method	Tool	Frequency
Trending hashtags	TikTok Discover, Twitter Trends	Daily
High-engagement comments	Comments on industry / influencer posts	Daily
Google Trends	Filter by region (US, UK, EU, etc.)	2x/week
Industry reports	Reports from Gartner, McKinsey, Statista, eMarketer	Monthly
KOL / Influencer feeds	Top 5–10 niche voices	3x/week

Competitive Monitoring

Competitor Tracking Template

Metric	[Competitor 1]	[Competitor 2]	[Your brand]
Followers (TikTok)	[X]	[X]	[X]
Followers (Instagram)	[X]	[X]	[X]
Followers (LinkedIn — B2B)	[X]	[X]	[X]
Posts per week	[X]	[X]	[X]
Primary content type	[Description]	[Description]	[Description]
Avg engagement rate	[X%]	[X%]	[X%]
Tone of voice	[Description]	[Description]	[Description]
Communicated USP	[Description]	[Description]	[Description]
Most recent campaign	[Description]	[Description]	[Description]

What to Watch on Competitors

Item	What to track	Why
New content	Posts, videos, stories	Learn effective formats, avoid duplication
Ads Library	Active ads (Meta Ads Library, TikTok Creative Center)	Understand strategy, creative, offers
Landing pages	Sales page, form, pricing	Benchmark conversion approach
Customer reviews	Reviews on Google, Trustpilot, FB	Find weak spots to target
Job postings	Open roles	Predict their direction
PR / Press	Articles, interviews	Read their comms strategy

Brand Health Metrics

4 Core Metrics

Metric	Formula	Benchmark	Frequency
Share of Voice (SOV)	Brand mentions / Total industry mentions × 100%	>15% is strong	Monthly
Net Sentiment	(Positive - Negative) / Total mentions × 100%	>60% is good	Weekly
Response Rate	Mentions responded / Total mentions needing response × 100%	>80% is good	Weekly
Response Time	Avg time from mention to response	<2h good, <30 min excellent	Weekly

Detailed Benchmark

Metric	Poor	Average	Good	Excellent
SOV	<5%	5–15%	15–25%	>25%
Net Sentiment	<40%	40–60%	60–80%	>80%
Response Rate	<50%	50–70%	70–90%	>90%
Response Time	>24h	4–24h	1–4h	<1h

Tools (Global)

Free

Tool	Channels	Use
Google Alerts	Web, news, blogs	Create alerts for brand + competitors, daily email
Meta Business Suite	Facebook, Instagram	Comments, mentions, messages — built-in
TikTok Studio	TikTok	Comment management, analytics
Google Trends	Google Search	Compare brand vs competitor keywords over time
Meta Ads Library	Facebook, Instagram	View competitor active ads
TikTok Creative Center	TikTok	Top ads, trending sounds, creative inspiration
Reddit search / RSS	Reddit	Subreddit-specific keyword tracking
Talkwalker Free Alerts	Web, social	Free brand mention alerts

Paid (when scaling)

Tool	Pricing	Strength
Brandwatch	Enterprise (custom)	Most powerful enterprise listening, AI sentiment
Sprout Social	From $249/mo	Listening + management + reporting in one
Mention	From $49/mo	SMB-friendly, real-time mentions across web + social
Brand24	From $79/mo	Multi-channel monitoring, automatic sentiment
Hootsuite Insights	From $99/mo	Listening + scheduling integration
Meltwater	Enterprise	PR + social listening + media intelligence
Talkwalker	Enterprise	Image recognition, AI-driven insights

Manual Workflow (small teams)

Daily (15–20 min):

Check Facebook Page + Instagram notifications (comments, mentions, reviews)
Check TikTok comments (latest 3 videos)
Search brand on Twitter/X (filter: past 24h)
Check Google Business Profile reviews

Weekly (30–45 min):

Search brand on TikTok, Reddit, Facebook Groups
Check Meta Ads Library for competitors
Read Google Alerts digest
Update competitor tracking sheet
Write weekly report

Weekly Report

Template

markdown
# Social Listening Report — Week [X] ([Date] — [Date])

## Summary

| Metric | This week | Prior week | Change |
|--------|-----------|------------|--------|
| Total mentions | [X] | [X] | [+/- %] |
| Positive mentions | [X] | [X] | [+/- %] |
| Negative mentions | [X] | [X] | [+/- %] |
| Net Sentiment | [X%] | [X%] | [+/- %] |
| Response Rate | [X%] | [X%] | [+/- %] |
| Avg Response Time | [Xh] | [Xh] | [+/- h] |

## Top positive mentions

1. [Source + content summary + reach/engagement]
2. [Source + content summary + reach/engagement]
3. [Source + content summary + reach/engagement]

## Top negative mentions

1. [Source + summary + handled? + outcome]
2. [Source + summary + handled? + outcome]

## Notable competitor activity

- [Competitor 1]: [Notable activity this week]
- [Competitor 2]: [Notable activity this week]

## Trends this week

- [Trend 1]: [Description + brand opportunity]
- [Trend 2]: [Description + brand opportunity]

## Alerts

- [Level: Green/Yellow/Orange/Red] — [Situation description]

## Recommended actions

| # | Action | Priority | Owner | Deadline |
|---|--------|----------|-------|----------|
| 1 | [Description] | [High/Med/Low] | [Role] | [Date] |
| 2 | [Description] | [High/Med/Low] | [Role] | [Date] |

Monthly Report

Template

markdown
# Social Listening Report — Month [X]/[YYYY]

## Executive summary

**3 most important insights:**
1. [Insight 1]
2. [Insight 2]
3. [Insight 3]

## Brand Health Dashboard

| Metric | This month | Prior month | Change | Target |
|--------|------------|-------------|--------|--------|
| Share of Voice | [X%] | [X%] | [+/- %] | [X%] |
| Net Sentiment | [X%] | [X%] | [+/- %] | >60% |
| Response Rate | [X%] | [X%] | [+/- %] | >80% |
| Avg Response Time | [Xh] | [Xh] | [+/- h] | <2h |
| Total mentions | [X] | [X] | [+/- %] | — |

## Sentiment by topic

| Topic | Positive | Neutral | Negative | Trend |
|-------|----------|---------|----------|-------|
| Product | [X%] | [X%] | [X%] | [Up/Down/Flat] |
| Service | [X%] | [X%] | [X%] | [Up/Down/Flat] |
| Pricing | [X%] | [X%] | [X%] | [Up/Down/Flat] |
| Marketing | [X%] | [X%] | [X%] | [Up/Down/Flat] |

## Competitor analysis

| Metric | [Brand] | [Competitor 1] | [Competitor 2] |
|--------|---------|----------------|----------------|
| SOV | [X%] | [X%] | [X%] |
| Net Sentiment | [X%] | [X%] | [X%] |
| Notable content | [Description] | [Description] | [Description] |
| Notable campaign | [Description] | [Description] | [Description] |

## Monthly trends

| Trend | Strength | Brand opportunity | Recommendation |
|-------|----------|-------------------|----------------|
| [Trend 1] | [Strong/Med/Weak] | [Description] | [Action] |
| [Trend 2] | [Strong/Med/Weak] | [Description] | [Action] |

## Crisis / Incidents (if any)

| Date | Incident | Severity | Handled | Outcome | Lesson |
|------|----------|----------|---------|---------|--------|
| [Date] | [Description] | [Green-Red] | [Description] | [Description] | [Description] |

## Next month actions

| # | Action | Priority | Owner | Deadline | Measure by |
|---|--------|----------|-------|----------|------------|
| 1 | [Description] | [High] | [Role] | [Date] | [Metric] |
| 2 | [Description] | [Med] | [Role] | [Date] | [Metric] |
| 3 | [Description] | [Low] | [Role] | [Date] | [Metric] |

Skill Cross-references

08-competitor-research-global — deep competitor analysis (listening provides real-time data)
09-customer-insight-global — listening is the strongest qualitative source for insight
13-data-analysis-global — combine qualitative (sentiment) with quantitative (metrics)
07-marketing-report-global — brand health section in monthly reports
01-content-calendar-global — trends found in listening → fresh content ideas

Quality Checklist

Initial Setup

Complete keyword list (brand + product + competitors + industry)
Google Alerts created for each keyword group
Notifications enabled on Facebook Page, Instagram, TikTok Studio
Competitor tracking sheet created
Crisis response workflow documented and team briefed
Daily listening owner assigned

Weekly

Daily checks completed every day
Negative mentions handled within 24h
Weekly report sent to team/stakeholders
Competitor sheet updated
New trends logged with content ideas
Niche research done — at least 10 topics/week
Hot topics fed into Content Matrix or content calendar

Monthly

Full monthly report with 4 brand health metrics
Competitor comparison updated
Monthly trends summarized
Next-month actions assigned with owners and deadlines
Keyword list reviewed — added/removed where needed

Publisher	minhnv0807
Repository	`ai-business-skills`
Skill name	`15-social-listening-global`
Stars	612
Forks	228
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Social Listening & Monitoring (Global)

Information Gathering

Framework: Listen → Analyze → Report → Act

Channels to Monitor (Global)

Channel List

Keywords to Monitor

Sentiment Analysis

Sentiment Scale

Categorization by Topic

Crisis Detection

Early Warning Signals

Crisis Response Workflow

Step 1 — Identify (within 1 hour)

Step 2 — Respond (within 2–4 hours)

Step 3 — Resolve (1–7 days)

Step 4 — Recover (2–4 weeks)

Niche Research — 20 hot topics in 7 days

Goal

Research Workflow (30–45 min/week)

Output Format

Rules

Trend Identification

Trend Types to Watch

Detection Methods

Competitive Monitoring

Competitor Tracking Template

What to Watch on Competitors

Brand Health Metrics

4 Core Metrics

Detailed Benchmark

Tools (Global)

Free

Paid (when scaling)

Manual Workflow (small teams)

Weekly Report

Template

Monthly Report

Template

Skill Cross-references

Quality Checklist

Initial Setup

Weekly

Monthly

Frequently asked questions

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