What problem does it solve?
Manually studying a benchmark blogger's notes rarely yields a clear picture of why their content goes viral, and generic AI imitation prompts produce vague results. This Skill automates the full pipeline of collecting a blogger's public posts via the TikHub API, analyzing engagement patterns, and distilling their cognition, strategy, and content formulas into reusable outputs.
Core Features & Use Cases
- Automated data collection: Fetches a blogger's profile, 30/50/80 posts, details, and comments from Xiaohongshu or Douyin through TikHub REST API endpoints with multi-endpoint fallback, rate limiting, and checkpoint recovery.
- Three-layer distillation: Extracts the cognition layer (beliefs, viewpoints), strategy layer (posting rhythm, series planning), and content layer (title formulas, opening templates, CTA strategies) from real posts.
- Dual deliverables: Generates a single-file HTML distillation report for humans and an installable creation-guide Skill folder (SKILL.md) that teaches your AI to write in that blogger's style.
- Optional Whisper transcription: Converts video voiceovers into text transcripts to enrich the analysis with spoken content.
- Use Case: Tell your AI assistant to distill a Xiaohongshu blogger you admire; 30 minutes later you receive an HTML report of their viral formulas plus a Skill folder you can load to generate new posts in their style.
Quick Start
Ask your AI assistant to distill a specific Xiaohongshu or Douyin blogger by name, then answer the prompts for platform, mode, and note count.
