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Twitter Gtm Find Skill

by Varnan-Tech

End-to-end pipeline for scraping X/Twitter for GTM/DevRel tech startup jobs using Apify, or optionally TweetClaw for OpenClaw and Hermes Tweet for Hermes Agent, then validating them against an Ideal Customer Profile (ICP) using Gemini's native Google Search Grounding. Use this skill when OpenClaw needs to find developer-first, funded startups actively hiring for GTM, DevRel, or Growth roles.

5k tokens
context cost
the whole folder, loaded on every use
10
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
569
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/Varnan-Tech/opendirectory --skill twitter-GTM-find-Skill

The instruction itself

5 sections, as written by the author

Twitter GTM Find Skill

This skill provides an automated pipeline to scrape Twitter for Developer-First startups hiring GTM/DevRel roles, followed by an automatic web-search verification step to validate them against our Ideal Customer Profile (ICP).

Using the Pipeline

You can run the full pipeline using the executable Node.js project bundled in scripts/.

cd scripts
npm install
npx ts-node src/index.ts

Requirements:

A .env file must be present at the workspace root with:

  • APIFY_API_TOKEN (Apify account access)
  • GEMINI_API_KEY (Gemini 3 Flash Preview with Search Grounding)
  • MAX_POSTS=20 (Optional limit)

Optional Native X/Twitter Plugin Inputs

If the user is running OpenClaw with

TweetClaw, you may use it as a native

OpenClaw plugin for the discovery stage while keeping the ICP validation stage

unchanged.

Install it when needed:

openclaw plugins install @xquik/tweetclaw

With XQUIK_API_KEY configured, use:

  • explore to find tweet search, reply search, user lookup, follower export,

monitor, and webhook endpoints

  • tweetclaw to scrape tweets, search tweets and replies, look up promising

founders or company accounts, export followers, and monitor leads during this

workflow

If the user is running Hermes Agent with

Hermes Tweet, you may use it as a

native X/Twitter plugin for the discovery stage while keeping the ICP validation

stage unchanged.

Install it when needed:

hermes plugins install Xquik-dev/hermes-tweet --enable

With XQUIK_API_KEY configured, use:

  • tweet_explore to scrape/search tweets and search Twitter/X for GTM, DevRel,

growth, and startup hiring signals

  • tweet_read to read tweet replies, look up users, and monitor tweets from

promising companies or founders

  • tweet_action only for read-side exports such as export followers in this

discovery workflow

Convert the findings into the same candidate shape used by the pipeline, then

run the ICP checklist before ranking leads. Do not post tweets, post replies,

send DMs, or automate X actions without explicit human confirmation.

Outputs

The script handles two primary JSON files:

  • radar-jobs.json: The initial raw batch of tech jobs identified by the scraper.
  • openclaw-icp-jobs.json: The final validated file OpenClaw should ingest, containing only companies that passed the strict web-search evaluation.

References

For deeper context on how the evaluation works or modifying the pipeline, read these files as needed:

  • ICP Checklist: See references/icp-checklist.md for the exact strict evaluation criteria (Developer-first + $100K minimum funding).
  • Gemini Search Grounding: The pipeline (scripts/src/icp-filter.ts) natively uses Google Search Grounding via the @google/generative-ai SDK (gemini-3-flash-preview / gemini-flash-latest) to look up live funding and product data.

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How to use it

Copy the folder

Take varnan-tech/twitter-gtm-find-skill from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.

Install what it needs

The instructions reference npm, npx. Without those the skill loads but fails at the first command.