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lead-generation

Finds and qualifies B2B leads from X/Twitter conversations using keyword search, profile analysis, and intent scoring. Combines MCP tools for automated prospecting pipelines. Use when prospecting, finding potential customers, or mining social conversations for leads.

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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name lead-generation description Finds and qualifies B2B leads from X/Twitter conversations using keyword search, profile analysis, and intent scoring. Combines MCP tools for automated prospecting pipelines. Use when prospecting, finding potential customers, or mining social conversations for leads. license Apache-2.0 metadata {"author":"nichxbt","version":"4.0"} Lead Generation MCP-powered workflow for finding and qualifying B2B leads from X/Twitter conversations and profiles. MCP Tools Used Tool Purpose x_search_tweets Find conversations by keyword/intent x_get_profile Qualify leads with profile data x_get_tweets Assess activity level and interests x_get_followers Check audience size and quality x_get_following Identify competitor usage / peer network Workflow Define search queries -- Build 3-5 keyword queries combining pain points, competitor names, or buying signals (e.g., "looking for {tool}", "anyone recommend {category}", "switching from {competitor}"). Search conversations -- Call x_search_tweets for each query with limit: 30 . Collect unique usernames. Qualify profiles -- Call x_get_profile for each. Filter by: has bio, followers > 100, account age > 6 months. Score intent -- Assign 1-5 score: 5: Explicit buying intent ("need a tool for...", "budget approved") 4: Comparing solutions ("X vs Y", "switching from") 3: Pain point discussion ("struggling with...") 2: Topic interest (engages with industry content) 1: Tangential mention Gather context -- For top leads (4-5), call x_get_tweets with limit: 20 . Check network -- Call x_get_following for high-value leads to see competitor follows. Export lead list -- Format as structured output. Browser Script Integration Enhance MCP workflows with browser scripts: Goal Script Monitor keywords in real-time src/keywordMonitor.js Analyze potential lead's audience src/audienceDemographics.js Check overlap with your audience src/audienceOverlap.js Engage with leads' content src/engagementBooster.js Auto-follow qualified leads src/automation/keywordFollow.js Output Template ## Lead List: {search_topic} Generated: {date} | Total qualified: {count} | Username | Score | Followers | Signal | Tweet URL | |----------|-------|-----------|--------|-----------| | @{user} | {1-5} | {count} | {type} | {url} | ### High-Priority Leads (Score 4-5) **@{username}** -- Score: {n}/5 - Signal: "{tweet excerpt}" - Bio: {bio} - Suggested approach: {personalized outreach note} Tips Run searches at different times to catch varied audiences Refresh weekly -- buying signals are time-sensitive Cross-reference with x_get_followers to find warm intros Use src/keywordMonitor.js for ongoing keyword monitoring
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Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
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