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influencer-coach

Diagnose creator performance gaps and generate coaching reports from content data.

2|1|Updated Apr 23, 2026
Search Tags:#comparison#coaching#content-analysis#creative-patterns#influencer#knowledge-set
One-click install
npx skills add https://github.com/adologyai/content-intelligence-plugin --skill influencer-coach
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: influencer-coach
Source: https://github.com/adologyai/content-intelligence-plugin/tree/main/skills/influencer-coach
Command: npx skills add https://github.com/adologyai/content-intelligence-plugin --skill influencer-coach

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill coaches individual creators by building a data-grounded coaching pipeline that pulls real content data, analyzes patterns, and delivers actionable, personalized guidance—so coaching is grounded in actual performance rather than generic advice.

Core Features & Use Cases

  • Build a custom knowledge set for a creator and comparison feeds to anchor coaching in real data.
  • Run deterministic content analyses and pattern-based coaching using the Creative Pattern Library.
  • Produce Phase 3 coaching reports with data-backed recommendations and 3-5 specific content ideas.

Quick Start

Provide the creator handle and platform to start building a data-backed coaching plan.

Frequently Asked Questions about influencer-coach

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How does data-driven influencer coaching work for TikTok and Instagram creators?▼

To coach influencers using content data, you provide the creator handle and platform to build a custom knowledge set. The skill then fetches performance data, runs deterministic content analysis, and produces a coaching report with 3-5 specific content ideas.

Can I use content analysis to compare my YouTube channel against similar creators?▼

You can use content analysis to compare your YouTube channel against similar creators by adding comparison feeds to your knowledge set. This establishes a comparison cohort to diagnose performance gaps and guide content improvements.

What is a creative pattern library for content analysis?▼

A creative pattern library for content analysis is a framework applied to evaluate creator content deterministically. It identifies successful creative patterns to diagnose performance gaps and generate data-backed coaching recommendations.

Does this influencer coaching approach support individual creators across multiple platforms?▼

Yes, this influencer coaching approach supports individual creators across platforms such as TikTok, Instagram, and YouTube. It adapts to niche contexts to generate personalized, data-backed guidance for each creator.

What do I need to start building a data-backed coaching plan for a creator?▼

To start building a data-backed coaching plan, you need to provide the creator handle and platform. This input initializes a knowledge set, adds influencer feeds, and triggers the data fetch workflow for analysis.

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