Reddit Competitor Analysis API Skill
browser-act/skills
This skill helps users extract structured data from Reddit posts and comments via BrowserAct API.
A skill your agent uses 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…
Install 15 Social Listening Global
$ npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install minhnv0807/ai-business-skills 15-social-listening-global --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/en/15-social-listening-global .claude/skills/15-social-listening-global && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "15-social-listening-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/15-social-listening-global into .claude/skills/15-social-listening-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "15-social-listening-global", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/15-social-listening-globalType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install minhnv0807/ai-business-skills 15-social-listening-global --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/en/15-social-listening-global .agents/skills/15-social-listening-global && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "15-social-listening-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/15-social-listening-global into .agents/skills/15-social-listening-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "15-social-listening-global", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install minhnv0807/ai-business-skills 15-social-listening-global --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/en/15-social-listening-global .cursor/skills/15-social-listening-global && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "15-social-listening-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/15-social-listening-global into .cursor/skills/15-social-listening-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "15-social-listening-global", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/minhnv0807/ai-business-skills.git --path skills/en/15-social-listening-global--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install minhnv0807/ai-business-skills 15-social-listening-global --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/en/15-social-listening-global .gemini/skills/15-social-listening-global && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "15-social-listening-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/15-social-listening-global into .gemini/skills/15-social-listening-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "15-social-listening-global", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install minhnv0807/ai-business-skills 15-social-listening-globalInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/en/15-social-listening-global .github/skills/15-social-listening-global && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "15-social-listening-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/15-social-listening-global into .github/skills/15-social-listening-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "15-social-listening-global", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install minhnv0807/ai-business-skills 15-social-listening-global --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/minhnv0807/ai-business-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/en/15-social-listening-global .opencode/skills/15-social-listening-global && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "15-social-listening-global" agent skill from https://github.com/minhnv0807/ai-business-skills/tree/master/skills/en/15-social-listening-global into .opencode/skills/15-social-listening-global/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "15-social-listening-global", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
15-social-listening-global- GitHub stars
- 609
- Token cost
- ~4.8k tokens
- SKILL.md length
- 1,559 words
- Files
- 1
- Skills in repo
- 142
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses 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…
- Works in 4 steps: Identify (within 1 hour) → Respond (within 2–4 hours) → Resolve (1–7 days) → …
- The user wants to monitor what is being said about the brand
- SKILL.md covers Information Gathering, Framework: Listen → Analyze →…, Channels to Monitor (Global) and Sentiment Analysis, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
15 Social Listening Global is an agent skill from minhnv0807/ai-business-skills. 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…
Its SKILL.md is about 4.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Social media marketing, Customer feedback analysis and Content marketing. It works with Reddit. The repository describes itself as: 138 bilingual AI marketing skills (69 VN + 69 Global) for Claude Code, OpenCode, Codex, VS Code. Four role SOP packs — content, design, performance, leader ops — plus strategy… The licence is MIT.
When your agent uses it
- The user wants to monitor what is being said about the brand
- The category — channels and keywords to track
- Sentiment scoring
- Weekly and monthly listening reports
Example prompts
- “social listening”
- “brand monitoring”
- “sentiment analysis”
- “/15-social-listening-global”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 0360adc. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
15 Social Listening Global loads about 4.8k tokens when it runs. Until then it costs about 195 tokens; SKILL.md has 1,559 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from minhnv0807/ai-business-skills at commit 0360adc, republished under its MIT licence (© minhnv0807). 1,559 words, ~4,838 tokens.
Download SKILL.mdSave it as
.claude/skills/15-social-listening-global/SKILL.md (or your agent's skills folder).- name
- 15-social-listening-global
- description
- 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, see `66-crisis-playbook-global`; competitor strategy teardown, see `08-competitor-research-global`; auditing your own posts, see `39-content-audit-global`.
- metadata.version
- 2.5.1
- metadata.category
- operations
- metadata.language
- en
- triggers
- social listening, brand monitoring, sentiment analysis, crisis management, online reputation, trend tracking, competitor monitoring
- output
- A .md plan covering monitored channels, weekly/monthly reports, crisis response workflow, and brand health metrics
- related
- 08-competitor-research-global, 09-customer-insight-global, 13-data-analysis-global, 07-marketing-report-global
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 crisesChannels to Monitor (Global)
Channel List
| Channel | Content type | How to monitor | Frequency |
|---|---|---|---|
| Twitter / X | Mentions, threads, retweets | Native search + saved searches + Tweetdeck | Daily |
| Subreddit discussions, AMAs | Subreddit search + Reddit RSS | Daily | |
| TikTok | Comments, duets, stitches, hashtags | Hashtag search + comments on brand videos | Daily |
| 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 |
| 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
# 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 |
Show full SKILL.md (637 more words)Show less
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 | 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
# 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
# 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 insight13-data-analysis-global— combine qualitative (sentiment) with quantitative (metrics)07-marketing-report-global— brand health section in monthly reports01-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
© minhnv0807, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/en/15-social-listening-global of minhnv0807/ai-business-skills.
Open the folder on GitHubat commit 0360adc
Compare with similar skills
15 Social Listening Global next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| 15 Social Listening Global this skillminhnv0807/ai-business-skills | 609 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Reddit Competitor Analysis API Skillbrowser-act/skills | 6.1k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Pulsealirezarezvani/claude-skills | 28k | — | ~3.8k | Automated safety check: Pass | MIT | |
| Getxapi ConnectLeoYeAI/openclaw-marketing-skills | 1k | 1 repos | ~715 | Automated safety check: Pass | Custom licence | |
| X Twitter ConnectLeoYeAI/openclaw-marketing-skills | 1k | 1 repos | ~1.6k | Automated safety check: Pass | Custom licence | |
| Xiaohongshu Auto Postingbrowser-act/skills | 6.1k | — | ~3.9k | Automated safety check: Pass | MIT |
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Questions about 15 Social Listening Global
What does 15 Social Listening Global do?
A skill your agent uses 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…. 15 Social Listening Global is an agent skill from minhnv0807/ai-business-skills. 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.
When should I use 15 Social Listening Global?
15 Social Listening Global fits situations like: the user wants to monitor what is being said about the brand; the category — channels and keywords to track; sentiment scoring; weekly and monthly listening reports.
How do I install 15 Social Listening Global in Claude Code?
Run `npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -a claude-code`. Or copy the skill folder (skills/en/15-social-listening-global in minhnv0807/ai-business-skills) into .claude/skills/15-social-listening-global in your project. Claude Code loads it when a task matches its description.
How do I install 15 Social Listening Global in Codex?
Run `npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -a codex`. Or copy the skill folder (skills/en/15-social-listening-global in minhnv0807/ai-business-skills) into .agents/skills/15-social-listening-global in your project. Codex loads it when a task matches its description.
Can I use 15 Social Listening Global in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add minhnv0807/ai-business-skills --skill 15-social-listening-global -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/15-social-listening-global, .gemini/skills/15-social-listening-global, .github/skills/15-social-listening-global and .opencode/skills/15-social-listening-global in your project.
What does 15 Social Listening Global need to run?
SKILL.md names no scripts, command-line tools or credentials: 15 Social Listening Global is instructions for the agent only.
Does 15 Social Listening Global access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is 15 Social Listening Global safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does 15 Social Listening Global use?
15 Social Listening Global is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does 15 Social Listening Global use?
About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to 15 Social Listening Global?
Skills that share tags, products or a category with 15 Social Listening Global: Reddit Competitor Analysis API Skill (browser-act/skills, 6.1k stars), Pulse (alirezarezvani/claude-skills, 28k stars), Getxapi Connect (LeoYeAI/openclaw-marketing-skills, 1k stars) and X Twitter Connect (LeoYeAI/openclaw-marketing-skills, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains 15 Social Listening Global?
minhnv0807 (a GitHub user) maintains it in minhnv0807/ai-business-skills, which has 609 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on September 12, 2026.
Source: minhnv0807/ai-business-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.