> ## Documentation Index
> Fetch the complete documentation index at: https://www.opendirectory.dev/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# twitter-GTM-find-skill

> Find developer-first GTM, DevRel, and Growth hiring signals from X/Twitter, then verify funding and product fit.

<Info>
  **Category:** GTM Intelligence · **Version:** `0.0.1` · **Author:** `opendirectory` · **Compatibility:** All targets (claude, codex, opencode, gemini, anti-gravity, openclaw, hermes)
</Info>

<img width="1280" height="640" alt="Generated_chart__twitter-gtm-find-cover-bw png" src="https://github.com/user-attachments/assets/618b0abe-34fc-4c3e-a345-1a3eaeb3d20b" />

Find developer-first GTM, DevRel, and Growth hiring signals from X/Twitter, then verify funding and product fit.

This pipeline uses Apify as the default discovery path. OpenClaw users can also
use TweetClaw for tweet search, reply search, user lookup, follower export,
monitors, and webhooks before the same ICP validation step.

## Install

<Tabs>
  <Tab title="npx CLI (Recommended)">
    ```bash theme={null}
    npx "@opendirectory.dev/skills" install twitter-GTM-find-skill --target claude
    ```
  </Tab>

  <Tab title="skills.sh">
    ```bash theme={null}
    npx skills add Varnan-Tech/opendirectory --skill twitter-GTM-find-skill
    ```
  </Tab>

  <Tab title="Claude Code Native">
    ```bash theme={null}
    /plugin marketplace add Varnan-Tech/opendirectory
    /plugin install opendirectory-gtm-skills@opendirectory-marketplace
    ```
  </Tab>

  <Tab title="Claude Desktop">
    <video controls className="w-full aspect-video rounded-xl mb-4" src="https://github.com/user-attachments/assets/cea8b565-2002-4a87-8857-d902bfcfdc1c" />

    1. Copy `https://github.com/Varnan-Tech/opendirectory/tree/main/skills/twitter-GTM-find-skill` into [download-directory.github.io](https://download-directory.github.io/) to download the ZIP.
    2. Open **Claude Desktop** -> **Customize** -> **Skills** -> **+** -> **Upload a skill** and drop the folder containing `SKILL.md`.
  </Tab>

  <Tab title="Manus AI">
    <video controls className="w-full aspect-video rounded-xl mb-4" src="https://github.com/user-attachments/assets/17cbee2a-9e17-4bd4-ac46-68e0e92ffab4" />

    [**Install twitter-GTM-find-skill in Manus AI**](https://manus.im/import-skills?githubUrl=https%3A%2F%2Fgithub.com%2FVarnan-Tech%2Fopendirectory%2Ftree%2Fmain%2Fskills%2Ftwitter-GTM-find-skill\&utm_source=opendirectory)
  </Tab>
</Tabs>

## The Skill Directory

All executable code and documentation are packaged cleanly inside the `twitter-GTM-find/` folder. This is designed to be directly imported and read by AI agents (like OpenClaw or Claude) so they understand how to use the tool.

```text theme={null}
twitter-GTM-find/
├── SKILL.md             <-- The AI entry point and documentation
├── references/          
│   └── icp-checklist.md <-- The strict evaluation criteria (Dev-first + $100K+ funded)
└── scripts/
    ├── run_pipeline.sh  <-- The executable shell script
    └── src/             <-- The TypeScript pipeline source code
```

## Usage

To run the pipeline manually or via an agent:

1. Create a `.env` file at the root of the repository:
   ```env theme={null}
   APIFY_API_TOKEN=your_apify_token
   GEMINI_API_KEY=your_gemini_api_key
   MAX_POSTS=20
   ```
2. Run the shell script:
   ```bash theme={null}
   cd twitter-GTM-find/scripts
   bash run_pipeline.sh
   ```

## Optional Native X/Twitter Plugin Paths

The existing Apify pipeline remains the default end-to-end workflow.

For OpenClaw users who already run
[TweetClaw](https://github.com/Xquik-dev/tweetclaw), the skill can also use
TweetClaw as a native OpenClaw plugin for the first discovery pass:

```bash theme={null}
openclaw plugins install @xquik/tweetclaw
```

After setting `XQUIK_API_KEY`, use `explore` to find the relevant tweet search,
reply search, user lookup, follower export, monitor, and webhook endpoints. Use
`tweetclaw` to scrape tweets, search tweets and replies, look up founders or
company accounts, export followers, and monitor promising leads during this
workflow.

For Hermes users who already run
[Hermes Tweet](https://github.com/Xquik-dev/hermes-tweet), the skill can also
use Hermes Tweet as a native Hermes Agent X/Twitter plugin for the first
discovery pass:

```bash theme={null}
hermes plugins install Xquik-dev/hermes-tweet --enable
```

After setting `XQUIK_API_KEY`, use `tweet_explore` to scrape/search tweets or
search Twitter/X for GTM, DevRel, growth, and startup hiring signals. Use
`tweet_read` to read tweet replies, look up users, and monitor tweets from
promising founders or company accounts. Use `tweet_action` only for read-side
exports such as export followers during this workflow.

Keep the pipeline's validation step intact: export the Hermes Tweet findings
or TweetClaw findings into the same candidate review shape, then run the ICP
checks before any outreach. Post tweets, post replies, send DMs, and other
automated X actions should stay confirmation-gated and outside unattended
discovery runs.

## Output

The pipeline generates two temporary files at the root of the repository (which are `.gitignore`d to prevent leaking data):

* `radar-jobs.json`: The initial raw batch of scraped tech jobs.
* `openclaw-icp-jobs.json`: The final, strict ICP-validated list of highly funded, developer-first startups hiring right now.


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.