Analyze YouTube channels, track competitor activity, and discover content opportunities. Use when users need to monitor YouTube channels, analyze a niche or category for content gaps, identify viral patterns, or plan content strategy. Handles competitive intelligence, market discovery, and trend analysis for YouTube creators.
Analyze YouTube channels, track competitor activity, and discover content opportunities. Use when users need to monitor YouTube channels, analyze a niche or category for content gaps, identify viral patterns, or plan content strategy. Handles competitive intelligence, market discovery, and trend analysis for YouTube creators.
{"type":"object","properties":{"mode":{"type":"string","enum":"[Truncated]","description":"Operation mode: monitoring (track channels) or discovery (find opportunities)"},"query":{"type":"string","description":"Channel handle/URL for monitoring, or category/keyword for discovery"},"options":{"type":"object","description":"Optional parameters: subcategories, date_range, max_results"}},"required":["mode","query"]}
output_schema
{"type":"object","properties":{"report":{"type":"object","description":"Structured intelligence report with competition assessment, opportunities, and data"},"channels":{"type":"array","description":"Channel profiles with aggregated metrics"},"opportunities":{"type":"array","description":"Ranked content opportunities with evidence and suggested angles"}}}
YouTube Intel
Local skill by Claw0x — runs entirely in your agent environment.
Runs locally. No external API calls, no API key required. Complete privacy. Your competitive intelligence stays on your machine.
YouTube content intelligence and competitive monitoring. Two modes: Monitoring (track specific channels) and Discovery (scan markets for content opportunities using a structured six-step workflow).
Quick Reference
When This Happens
Do This
What You Get
Need to track competitor channels
Use Monitoring mode with channel handle
Update report with new videos, view trends, content shifts
Competition assessment per subcategory (🔴 high / 🟡 medium / 🟢 low)
Ranked content opportunities with evidence
Viral pattern analysis with replicable lessons
Channel profiles with aggregated metrics
Real-World Use Cases
Scenario 1: Entering a New Niche
Problem: You want to start a YouTube channel about AI tools but don't know which subcategory has the best opportunity.
Solution: Run Discovery mode with "AI tools" — the skill decomposes it into subcategories (AI image tools, AI coding tools, AI video tools, etc.), assesses competition for each, and ranks opportunities.
Problem: You want to understand what makes videos go viral in your niche.
Solution: Discovery mode identifies videos with 1M+ views, analyzes title formulas, timing context, and extracts replicable patterns.
Scenario 4: Content Calendar Planning
Problem: You need data-driven topic ideas for the next month.
Solution: Combine Discovery (find gaps) + Monitoring (track what competitors are NOT covering) to generate a prioritized topic list.
Two Modes
Monitoring Mode
Track specific YouTube channels over time.
Trigger phrases: "monitor this channel", "track @channel", "what did they publish recently"
Workflow:
Read channel history from memory (if exists)
Fetch latest channel data via browser
Compare with history: new videos, view changes, trend shifts
Update memory archive
Output change report
Discovery Mode (Six-Step Workflow)
Scan a market category for content opportunities. This is NOT a simple keyword search — it follows a structured intelligence workflow:
Step 1: Demand Analysis → Understand what the user really wants, identify ambiguity
Step 2: Strategy Design → Define search terms, subcategories, data sources
Step 3: Data Collection → Execute searches via browser
Step 4: Data Cleaning → Deduplicate, filter noise, normalize formats
Step 5: Analysis → Assess competition, identify opportunities, extract viral patterns
Step 6: Save & Present → Write to memory, output structured report
Data Models
Video Record
video:title:stringvideo_id:stringurl:stringchannel_name:stringchannel_handle:stringviews:numberpublished_days_ago:numberduration:stringis_short:booleancontent_type:"review"|"tutorial"|"list"|"comparison"|"news"|"other"is_viral:boolean# views > 1Mis_emerging:boolean# published < 30 days
Channel Profile
channel_profile:name:stringhandle:stringvideos_in_results:numberavg_views:numbermax_views:numberis_established:boolean# 3+ videos, avg views > 200Kis_emerging:boolean# new account with viral hit
Competition Assessment
competition:sub_category:stringtotal_videos:numberunique_channels:numberavg_views:numbertop_video_views:numbercompetition_level:"red"|"yellow"|"green"# red: top video > 1M views AND 5+ established channels# yellow: top video 300K-1M OR 2-5 established channels# green: top video < 300K OR emerging market
from claw0x import Claw0xClient
client = Claw0xClient(api_key="ck_live_...")
result = client.call("youtube-intel", {
"mode": "discovery",
"query": "AI video editing tools"
})
for opp in result["opportunities"]:
print(f"[{opp['competition_level']}] {opp['sub_category']}: {opp['suggested_angle']}")