influencer-discovery

by tigerless-labs · Claude Skill · ★ 208

About influencer-discovery

Influencer discovery & contact enrichment pipeline that runs as a Claude Code skill — 15 channels, stdlib only, appends to a Google Sheet

claude-codecontact-enrichmentcreator-discoveryinfluencer-discoverylead-generationskill

Quick Facts

Stars208
Forks32
LanguagePython
CategoryClaude Skill
Quality Score40.25/100
Last Updated2026-09-22
Created2026-08-04
Platformsclaude-code, python
Est. Tokens~68k

Compatible Skills

These tools work well together with influencer-discovery for enhanced workflows:

  • gtm-eng-skills — semantic(0.45)+complementary+rare_topics+similar_pop+shared_platform (55%)
  • mycelium — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • agentic-resource-discovery — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)
  • lad — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is influencer-discovery?

influencer-discovery is Influencer discovery & contact enrichment pipeline that runs as a Claude Code skill — 15 channels, stdlib only, appends to a Google Sheet. It is categorized as a Claude Skill with 208 GitHub stars.

What programming language is influencer-discovery written in?

influencer-discovery is primarily written in Python. It covers topics such as claude-code, contact-enrichment, creator-discovery.

How do I install or use influencer-discovery?

You can find installation instructions and usage details in the influencer-discovery GitHub repository at github.com/tigerless-labs/influencer-discovery. The project has 208 stars and 32 forks, indicating an active community.

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