kol-content-monitor
Track what key opinion leaders (KOLs) in your space are posting on LinkedIn and Twitter/X. Surfaces trending narratives, high-engagement topics, and early signals of emerging conversations before they peak. Chains linkedin-profile-post-scraper and twitter-mention-tracker. Use when a marketing team wants to ride trends rather than create them from scratch, or when a founder wants to know which topics are resonating with their audience.
npx skills add gooseworks-ai/goose-skills --skill kol-content-monitor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# KOL Content Monitor Track what Key Opinion Leaders in your space are writing about. Surface trending narratives early — before they peak — so your team can join the conversation at the right time with relevant content. **Core principle:** For seed-stage teams, the fastest path to content distribution is riding a wave that's already breaking, not creating one from scratch. ## When to Use - "What are the top voices in [our space] posting about?" - "What topics are trending on LinkedIn in [industry]?" - "I want to know what content is resonating before I write anything" - "Track [list of founders/experts] and tell me what they're saying" - "Find trending narratives I can contribute to" ## Phase 0: Intake ### KOL List 1. Names and LinkedIn URLs of KOLs to track (if known) - If unknown: use `kol-discovery` skill first to build the list 2. Twitter/X handles for the same KOLs (optional but recommended for full picture) 3. Any specific topics/keywords you care about? (for filtering noisy feeds) ### Scope 4. How far back? (default: 7 days for weekly monitor, 30 days for first run) 5. Minimum engagement threshold to include a post? (default: 20 reactions/likes) Save config to the current w
- When to Use
- Phase 0: Intake
- KOL List
- Scope
- Phase 1: Scrape LinkedIn Posts
- Phase 2: Scrape Twitter/X Posts
- Phase 3: Topic Clustering
- Clustering approach:
- Signal types to flag:
- Phase 4: Output Format
- Phase 5: Build Trigger-Based Content Calendar
- Scheduling
- Cost
- Tools Required
python3 skills/linkedin-profile-post-scraper/scripts/scrape_linkedin_posts.py \ python3 skills/twitter-mention-tracker/scripts/search_twitter.py \
What does the kol-content-monitor skill do?
Track what key opinion leaders (KOLs) in your space are posting on LinkedIn and Twitter/X. Surfaces trending narratives, high-engagement topics, and early signals of emerging conversations before they peak. Chains linkedin-profile-post-scraper and twitter-mention-tracker. Use when a marketing team wants to ride trends rather than create them from scratch, or when a founder wants to know which topics are resonating with their audience.
How do I install it?
Run `npx skills add gooseworks-ai/goose-skills --skill kol-content-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 gooseworks-ai/goose-skills, a repository with 1,091 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.