Industry Key Contact Radar Api Skill logo

Industry Key Contact Radar Api Skill

OrganizationPopular
browser-act
industry-key-contact-radar-api-skill

This skill helps users discover key contacts across industries, roles, and social platforms via the BrowserAct API. Agent should proactively apply this skill when users express needs like finding public profiles for founders or CEOs, discovering key decision-makers in a specific industry, extracting contact details for lead generation, searching for growth leaders on LinkedIn or Facebook, gathering professional networking profiles, retrieving URLs and names of industry leaders, finding marketing managers in a specific field, conducting competitive analysis by identifying key personnel, sourcing talent acquisition targets across platforms, or compiling a list of target roles on specific social sites.

Overview

Publisherbrowser-act
Repositoryskills
Skill nameindustry-key-contact-radar-api-skill
Stars
5.9K
Forks
295
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by browser-act on GitHub. Read the source before you install it.

Installation

Install the Industry Key Contact Radar Api Skill AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/browser-act/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/solutions/lead-generation/industry-key-contact-radar-api-skill .claude/skills/industry-key-contact-radar-api-skill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Industry Key Contact Radar Api Skill in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Industry Key Contact Radar Api Skill on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Industry Key Contact Radar Api Skill is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Industry Key Contact Radar

📖 Brief

This skill provides a one-stop contact discovery service using BrowserAct's Industry Key Contact Radar API template. It extracts structured contact details directly from search results across various platforms, including profile URLs, names, introductions, and company associations. Simply input an industry, result limit, target site, and job title to receive clean, actionable contact data.

✨ Features

  1. No hallucinations, ensuring stable and accurate data extraction: Pre-set workflows avoid AI generative hallucinations.
  2. No CAPTCHA issues: No need to handle reCAPTCHA or other verification challenges.
  3. No IP restrictions or geo-blocking: No need to handle regional IP restrictions or geofencing.
  4. Faster execution: Tasks execute faster compared to purely AI-driven browser automation solutions.
  5. Extremely high cost-efficiency: Significantly reduces data acquisition costs compared to AI solutions that consume massive amounts of tokens.

🔑 API Key Guide

Before running, you must check the BROWSERACT_API_KEY environment variable. If it is not set, do not take other actions first; you should ask and wait for the user to provide it. Agent must inform the user:

"Since you haven't configured the BrowserAct API Key yet, please go to the BrowserAct Console to get your Key."

🛠️ Input Parameters

Agent should flexibly configure the following parameters based on user needs:

  1. industry (Industry)

    • Type: string
    • Description: The industry or field to search for contacts.
    • Example: Browser automation, E-commerce, Healthcare
    • Default: Browser automation
    • Required: Yes
  2. Datelimit (Max Items)

    • Type: number
    • Description: Maximum number of records to extract. The default value is recommended for the first run.
    • Example: 10
    • Default: 10
  3. site (Target Site)

    • Type: string
    • Description: The social platform or website to search on.
    • Example: facebook.com, linkedin.com, github.com
    • Default: facebook.com
    • Required: Yes
  4. Job_Title (Job Title)

    • Type: string
    • Description: The specific role or job title of the target contact.
    • Example: founder, CEO, marketing manager
    • Default: founder
    • Required: Yes

🚀 Invocation Method

The Agent should execute the following independent script to achieve "one command gets results":

bash
# Example
python -u ./scripts/industry_key_contact_radar_api.py "Browser automation" 10 "facebook.com" "founder"

⏳ Running Status Monitoring

Since this task involves automated browser operations, it may take a long time (several minutes). The script will continuously output status logs with timestamps while running (e.g., [14:30:05] Task Status: running). Agent guidelines:

  • While waiting for the script to return results, please keep an eye on the terminal output.
  • As long as the terminal continues to output new status logs, it means the task is running normally. Do not misjudge it as a deadlock or unresponsiveness.
  • If the status remains unchanged for a long time or the script stops outputting without returning a result, only then consider triggering the retry mechanism.

📊 Data Output

After successful execution, the script will parse and print the results directly from the API response. The results include:

  • url: Direct link to the contact's public profile
  • name: The name of the contact or profile title
  • Introduction: A brief introduction or bio description of the contact
  • Company: The company or organization associated with the contact

⚠️ Error Handling & Retry

During script execution, if errors occur (such as network fluctuations or task failure), the Agent should follow this logic:

  1. Check the output content:

    • If the output contains "Invalid authorization", it means the API Key is invalid or expired. At this point, do not retry, but guide the user to recheck and provide the correct API Key.
    • If the output contains "concurrent" or "too many running tasks" or similar concurrency limit messages, it means the concurrent task limit for the current subscription plan has been reached. Do not retry; guide the user to upgrade their plan. Agent must inform the user:

      "The current task cannot be executed because your BrowserAct account has reached the limit of concurrent tasks. Please go to the BrowserAct Plan Upgrade Page to upgrade your subscription plan and enjoy more concurrent task benefits."

    • If the output does not contain the above error keywords but the task fails (e.g., output starts with Error: or returns empty results), the Agent should automatically try to run the script once more.
  2. Retry limit:

    • Automatic retry is limited to once. If the second attempt still fails, stop retrying and report the specific error message to the user.

🌟 Typical Use Cases

  1. Lead Generation: Finding public profiles for founders and CEOs in target industries.
  2. Talent Acquisition: Sourcing growth leaders and key roles for recruiting.
  3. Competitive Analysis: Identifying key personnel in competing organizations.
  4. Professional Networking: Gathering profiles for industry connections.
  5. Market Intelligence: Collecting URLs and names of industry leaders.
  6. Cross-Platform Discovery: Searching target profiles on specific sites like LinkedIn or GitHub.
  7. B2B Outreach: Finding decision-makers and extracting contact details.
  8. Brand Marketing: Locating marketing managers in a specific field.
  9. Sales Prospecting: Building lists of specific job titles across industries.
  10. Targeted Job Title Search: Compiling a list of target roles on specific social sites.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Industry Key Contact Radar Api Skill AI skill do?

This skill helps users discover key contacts across industries, roles, and social platforms via the BrowserAct API. Agent should proactively apply this skill when users express needs like finding public profiles for founders or CEOs, discovering key decision-makers in a specific industry, extracting contact details for lead generation, searching for growth leaders on LinkedIn or Facebook, gathering professional networking profiles, retrieving URLs and names of industry leaders, finding marketing managers in a specific field, conducting competitive analysis by identifying key personnel, sour...

Why use Industry Key Contact Radar Api Skill on TypingMind?

Because you install it once and use it with any model. Industry Key Contact Radar Api Skill is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Industry Key Contact Radar Api Skill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/browser-act/skills/tree/main/solutions/lead-generation/industry-key-contact-radar-api-skill. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Industry Key Contact Radar Api Skill?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Industry Key Contact Radar Api Skill?

As many as you like. As long as a model supports skills, you can use Industry Key Contact Radar Api Skill with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Industry Key Contact Radar Api Skill AI skill free?

Yes. It is published on GitHub by browser-act under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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