Skip to content

kabo-sh/kabo

v1.0.11MIT

Public creator research with bundled workflows and Kabo MCP evidence.

analyze-tiktok-competitors

Find and compare TikTok competitor accounts: search the creator's or product's category, separate direct competitors from adjacent and media accounts, sample their recent or latest videos, and report repeated mechanisms, outlier posts, differentiation and untouched topics, optionally from audience comments. Use for TikTok competitor discovery, positioning gaps, comparing named accounts, or adapting proven topics or hooks without copying. Not for one account's viral post versus its own baseline.

License
MIT
Compatibility
Requires the Kabo MCP server at https://kabo.sh/mcp-pub, Python 3, read and write access to a local workspace, and network access from scripts to kabo.sh and to the signed storage.googleapis.com download links that Kabo tool results return (without it, a host that can save a tool's complete result to a file). Kabo permission: data.
Read SKILL.md at the source

Pinned to revision 7442d53e63ce, so it is the text this page describes rather than whatever the author pushed since.

Pre-approved tools experimental

Experimental field. Support varies between clients, so this list is what the author declared, not what your client will enforce.

  • get_research_capabilities
  • get_research_data_job
  • get_research_data_download
  • read_research_data_artifacts
  • collect_tiktok_video_candidates
  • collect_account_history
  • tiktok_discovery_list_comments

Files

Every link opens the file at its source, pinned to the revision this page describes.