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lead-research-assistant
通过分析业务、搜索目标公司并提供可执行联系策略,为产品或服务识别高质量 leads。适用于销售、BD 和市场团队。Keywords: lead research, sales, business development.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
通过分析业务、搜索目标公司并提供可执行联系策略,为产品或服务识别高质量 leads。适用于销售、BD 和市场团队。Keywords: lead research, sales, business development.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
构建、验证和排查 Codex、Cursor、VS Code、Visual Studio 等工具的 deep links。适用于用户需要可点击链接,尤其是在 Slack 中打开线程、文件、文件夹或应用设置时。Keywords: deep links, clickable links, Slack links.
将 OpenAI/Codex 品牌色、字体和视觉规范应用到文档、幻灯片、网页或其他 artifact。适用于需要品牌色、样式指南、视觉格式或公司设计标准的任务。Keywords: OpenAI brand, Codex style, visual formatting.
基于设计原则创建 .png 或 .pdf 静态视觉作品。适用于海报、艺术图、设计稿或其他静态设计产物;必须原创,避免复制现有艺术家作品以降低版权风险。Keywords: poster, visual art, static design.
根据 git commits 自动生成面向用户的 changelog/release notes。会分析提交历史、分类变更,并把技术提交改写成清晰、客户友好的发布说明。Keywords: changelog, release notes, commit history.
执行大型代码库迁移和多文件重构。通过 Composio CLI 协调 issue 跟踪、分批 PR 和 CI 验证,同时由 agent 在本地跨数百个文件执行变换。Keywords: migration, refactor, batched PRs.
从广告库中提取并分析竞品广告,例如 Facebook、LinkedIn 等,用于理解有效的信息表达、问题定位和创意方式,辅助优化自己的广告活动。Keywords: competitor ads, ad library, marketing analysis.
| name | lead-research-assistant |
| description | 通过分析业务、搜索目标公司并提供可执行联系策略,为产品或服务识别高质量 leads。适用于销售、BD 和市场团队。Keywords: lead research, sales, business development. |
This skill helps you identify and qualify potential leads for your business by analyzing your product/service, understanding your ideal customer profile, and providing actionable outreach strategies.
Simply describe your product/service and what you're looking for:
I'm building [product description]. Find me 10 companies in [location/industry]
that would be good leads for this.
For even better results, run this from your product's source code directory:
Look at what I'm building in this repository and identify the top 10 companies
in [location/industry] that would benefit from this product.
For more targeted research:
My product: [description]
Ideal customer profile:
- Industry: [industry]
- Company size: [size range]
- Location: [location]
- Current pain points: [pain points]
- Technologies they use: [tech stack]
Find me 20 qualified leads with contact strategies for each.
When a user requests lead research:
Understand the Product/Service
Define Ideal Customer Profile
Research and Identify Leads
Prioritize and Score
Provide Actionable Output
For each lead, provide:
Format the Output
Present results in a clear, scannable format:
# Lead Research Results
## Summary
- Total leads found: [X]
- High priority (8-10): [X]
- Medium priority (5-7): [X]
- Average fit score: [X]
---
## Lead 1: [Company Name]
**Website**: [URL]
**Priority Score**: [X/10]
**Industry**: [Industry]
**Size**: [Employee count/revenue range]
**Why They're a Good Fit**:
[2-3 specific reasons based on their business]
**Target Decision Maker**: [Role/Title]
**LinkedIn**: [URL if available]
**Value Proposition for Them**:
[Specific benefit for this company]
**Outreach Strategy**:
[Personalized approach - mention specific pain points, recent company news, or relevant context]
**Conversation Starters**:
- [Specific point 1]
- [Specific point 2]
---
[Repeat for each lead]
Offer Next Steps
User: "I'm building a tool that masks sensitive data in AI coding assistant queries. Find potential leads."
Output: Creates a prioritized list of companies that:
User: "I run a consulting practice for remote team productivity. Find me 10 companies in the Bay Area that recently went remote."
Output: Identifies companies that: