social-lead-gen

What This Skill Does

The Social Lead Gen skill transforms how you identify potential customers by shifting from cold outreach to intent-based engagement. Instead of searching static lead databases, this agent monitors live conversations across major social platforms—Twitter, Instagram, and Reddit. By analyzing your product documentation, website, and GitHub repositories, the agent builds a deep understanding of your unique value proposition and the specific pain points your solution addresses. It then converts this context into sophisticated search queries that scour over 1.5 billion indexed posts to find users actively expressing a need for your services. This process moves through three distinct phases: autonomous research to build product context, multi-platform searching to capture leads in real-time, and intent scoring to prioritize prospects who are most likely to convert. By leveraging the Xpoz MCP framework, the skill ensures high-quality data retrieval while maintaining focus on high-intent signals, allowing you to engage potential buyers precisely when they are seeking a solution.

Installation

To begin using the Social Lead Gen skill, ensure you have the OpenClaw environment initialized. Install the package using the following command in your terminal:

clawhub install openclaw/skills/skills/atyachin/social-lead-gen

Before running the lead generation cycles, you must configure the Xpoz MCP integration. Verify your connection by running mcporter call xpoz.checkAccessKeyStatus. If the status indicates that your access key is not configured, please complete the mandatory xpoz-setup skill process. Once authorized, the skill gains the permissions required to query live social data feeds.

Use Cases

• SaaS Founders: Identify developers or business owners on Reddit or Twitter complaining about limitations in competitor tools.
• Content Creators: Discover people asking for tutorials or software recommendations that align with your specialized service offerings.
• Agencies: Find companies actively searching for outsourced development, marketing, or design help within industry-specific subreddits.
• Product Market Fit Analysis: Track the language potential customers use to describe their problems, helping you refine your messaging and feature roadmap.

Example Prompts

1. "I want to find leads for my new automated invoice management app. Here is our website: https://invoiced.example.com. Find users complaining about manual spreadsheet errors or slow accounting processes on Twitter and Reddit."
2. "Research my GitHub repository at https://github.com/myorg/awesome-tool and identify potential enterprise users who are discussing scaling issues in similar data processing workflows."
3. "Look for people on Instagram asking for 'easy ways to automate social media posting' and draft a personalized outreach response based on our product features."

Tips & Limitations

• Refinement is Key: If the generated leads are too broad, provide the agent with examples of 'negative signals' (e.g., 'ignore people just looking for free alternatives').
• Phase 1 Importance: Do not skip the initial product research phase. The quality of your leads is directly proportional to how well the agent understands your product's core value.
• Platform Context: Remember that language patterns differ across platforms. Reddit discussions are often long-form and technical, while Twitter signals are usually urgent and brief.
• Limitations: The agent performs best when provided with specific product URLs or documentation. Avoid overly vague descriptions to ensure search queries remain high-signal.