This skill helps users extract YouTube influencer profiles including social links, subscriber counts, and channel stats via the BrowserAct API. Agent should proactively apply this skill when users express needs like finding YouTube creators for specific keywords, discovering influencers for a marketing campaign, extracting YouTube channel contact emails, scraping YouTube influencer social media links, gathering subscriber counts for YouTube creators, researching top YouTube channels in a specifi
SkillScore68Maintained
Automatic
◆Marketing & Content pack
Last verified 8/9/2026
What it changes
Passed 13 of 19 test cases with the skill, and 5 of 19 without it.
Without skill27%
With skill68%
Checks it passed that the model alone missed
Invokes python with the -u unbuffered flag
Uses openclaw as the default search keyword
Passes keywords as the first positional argument
and 14 more in the full report
11 fixed4 passed either way5 still failing2 broke
Pass-rate lift
+41 pp
Tokens
-5%
Agent turns
0%
Response time
-42%
Model gemini-3.6-flashMeasured 8/9/2026v115 of 22 cases passed with skill · 19 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 11
Prompt
Which specific response field contains the date when the YouTube channel was originally created?
What was checked, without and with the skill
Checked
Without skill
With skill
Reads channel creation date from the registration_date property
Missed
Passed
case-13 · gemini-3.6-flash · 8/9/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md73 lines2 filesincludes scripts
YouTube Influencer Finder API Skill
📖 Brief
This skill provides a one-stop YouTube influencer data extraction service using the BrowserAct YouTube Influencer Finder API template. It directly extracts structured creator profile data from YouTube search results, including contact details, social links, and channel statistics. Just input search keywords and an upload date filter to get clean, usable influencer data.
✨ Features
No hallucinations, ensuring stable and accurate data extraction: Pre-set workflows avoid generative AI hallucinations.
No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
No IP restrictions or geo-blocking: No need to deal with regional IP limits.
Extremely high cost-efficiency: Significantly reduces data acquisition costs compared to AI solutions that consume massive amounts of tokens.
🔑 API Key Guide
Before running, you must check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other actions first; you should ask and wait for the user to provide it.
Agent must inform the user:
"Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key."
🛠️ Input Parameters
When calling the script, the Agent should flexibly configure the following parameters based on user needs:
keywords
Type: string
Description: Search keywords for finding YouTube influencers. Can be any keyword.
Example: openclaw, tech reviewer, gaming
Default: openclaw
Upload_Date
Type: string
Description: Filter creators by their recent upload date.
Options:
Today
This Week
This Month
This Year
Default: This Month
🚀 Invocation Method (Recommended)
The Agent should execute the following independent script to achieve "one command gets results":
This skill helps users extract YouTube video transcripts and perform deep competitive analysis on the content. Agent should proactively apply this skill when users express needs like analyze YouTube video content strategy, perform competitive video content analysis, extract and analyze YouTube subtitles for marketing insights, understand competitor value propositions from their videos, identify target audience from YouTube video content, analyze pain points and needs mentioned in YouTube videos,