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AutomationPython

Influencer Discovery

by tigerless-labs

Influencer Discovery is an Automation skill for Claude Code, published by tigerless-labs in influencer-discovery.

185 stars28 forkson tigerless-labs/influencer-discoveryAdded 2026/09/07+28% in starsRepository updated 2026/09/01

View source on GitHub Download repo ZIP

claude-codecontact-enrichmentcreator-discoveryinfluencer-discoverylead-generationskill

Install in seconds

Install Influencer Discovery

Copy Influencer Discovery into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/tigerless-labs/influencer-discovery/tree/main/skills/influencer-discovery ~/.claude/skills/influencer-discovery

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/tigerless-labs/influencer-discovery.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/influencer-discovery/SKILL.md in tigerless-labs/influencer-discovery
Installs to: ~/.claude/skills/influencer-discovery
Collection: The only skill cataloged from this repository
Category: Automation — 2109 skills

What Influencer Discovery does

Influencer Discovery finds bloggers and creators with their own audience, captures contact details, and appends qualified targets to a Google Sheets list. Use it to build batches of outreach targets or enrich existing people with emails and other contact info.

Influencer Discovery is cataloged under Automation on DirSkills. Influencer Discovery comes from a repository tagged claude-code, contact-enrichment, creator-discovery, influencer-discovery and lead-generation.

Documentation

README

Excerpt

influencer-discovery

One sentence: hit the qualified-row count the user asked for, every row with contact info, not one row a duplicate.

Who to find

People who can help us promote our work. The criterion is bring your own audience: followers, readers, subscribers — when they post something, someone sees it.

People building their own product are not targets. They want traffic and won't distribute for us — capturing their email is a false positive, not output. This is the biggest false-positive source in this methodology; see seller-vs-buyer.md for how to tell.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Influencer Discovery

How does Influencer Discovery compare to other Automation skills?
Influencer Discovery ranks #1881 by stars among the 2109 Automation skills in this catalog. The most-starred ones next to it are Autonomous Loops, Autonomous Agent Harness and Automation Audit Ops. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Influencer Discovery against them. Open each page to compare what they document and how they install.

More Automation skills

Influencer Discovery is one of 2109 Automation skills cataloged on DirSkills, ranked #1881 by stars among them.

Browse all Automation skills →

Autonomous Loops

Autonomous Loops provides patterns and reference implementations for running Claude Code in autonomous loops, from simple sequential pipelines to RFC-driven multi-agent DAG systems. Retained for compatibility; use continuous-agent-loop for new guidance.

Autonomous Agent Harness

Autonomous Agent Harness turns Claude Code into a self-directing agent system with persistent memory, scheduled tasks, computer use, and task queuing. Use it when continuous autonomous operation, scheduled tasks, or self-directing agent loops are needed.

Automation Audit Ops

Automation Audit Ops audits live automations, jobs, hooks, and connectors to identify what is working, broken, redundant, or missing before any fixes are made.