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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 官方收录技能 质量 优秀 · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=nirholas-xactions-skills-lead-generation-skill-md&format=skill
下载 .skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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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下载的 .skill 包内含以下字段。
字段 说明
format格式标识(skill/v1)
skill_id技能唯一 ID
name技能名称
version版本号
description技能描述
category所属分类(数组)
trigger_words触发词列表
tags标签列表
source来源标识
source_url来源链接(本页地址)
exported_at导出时间(每次下载生成)
system_prompt系统提示词正文
model_config模型参数:provider / model / temperature / max_tokens / top_p
examples示例
install_guide各平台导入说明(Coze / Dify / Claude / 自定义框架)
同一份技能可按不同平台格式导出。
.skill 标准格式,含 system_prompt 与 model_config,导入任意 Agent 框架即可使用 下载
.skillpro 增强格式,额外含脚本 / 工具 / 依赖 / 钩子占位 下载
.json 纯 JSON 导出,只含 system_prompt 与模型参数 下载
Coze 带 frontmatter 的 Markdown,Coze 平台导入用 下载
Dify Dify DSL,创建应用后直接导入 下载

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