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投资者拓展

撰写冷邮件、暖介绍、跟进、更新邮件以及面向投资者的融资沟通文案。在用户需要联系天使投资人、风投机构、战略投资者或加速器,且需要简洁、个性化、面向投资者的信息时使用。

投资者拓展 是什么?

该技能专注于为初创公司创始人或融资负责人撰写专业的投资者沟通文案。它覆盖了从冷启动邮件、暖介绍请求到会议后跟进和定期投资者更新的完整融资沟通流程。其核心价值在于确保每一条信息都高度个性化、具体、低摩擦,并带有明确的行动号召,从而提升回复率和融资成功率。此技能适用于所有主要的AI编程助手(如Claude Code, Cursor, Codex),通过结构化的规则和检查清单,它强制要求避免泛泛的赞美、模糊的形容词和乞求式语言,转而使用具体的证据(如用户增长数据和产品里程碑)来证明投资吸引力。此外,技能还能调用“品牌声音”组件来保持一致的创始人语调,并严格遵循发送时间表,避免过度骚扰投资者。

兼容平台~Claude Code~Codex CLI~Cursor
npx skills add https://github.com/affaan-m/everything-claude-code/tree/main/skills/investor-outreach

在你喜欢的 AI 中提问

打开一个已预加载此 Agent Skill 的新对话。

文档

投资者拓展 是做什么的?

撰写简短、具体且易于行动的投资者沟通文案。

何时激活

  • 撰写发给投资者的冷启动邮件
  • 起草暖介绍请求
  • 会议后或无回应时发送跟进邮件
  • 在融资过程中撰写投资者更新
  • 根据基金投资主题或合伙人契合度定制外联内容

核心规则

  1. 个性化每一条对外信息。
  2. 保持请求低门槛。
  3. 使用证据而非形容词。
  4. 保持简洁。
  5. 绝不发送适用于任何投资者的通用文案。

语气处理

如果用户的语气很重要,请先运行 brand-voice 并复用其“语音档案”。 此技能应保持投资者专属的结构和请求纪律,而非创建自己的独立语音系统。

硬性禁止项

删除并重写以下任意内容:

  • “我希望能联系上”
  • “很高兴分享”
  • 没有实际关联的泛泛赞美投资主题
  • 模糊的创始人形容词
  • 乞求式语言
  • 当直接请求更清晰时使用软性结尾问题

冷邮件结构

  1. 主题行:简短且具体
  2. 开场白:为什么特别选择这位投资者
  3. 推销:公司做什么、为什么现在做、有什么重要证据
  4. 请求:一个具体且可行的下一步
  5. 署名:姓名、职位,以及必要时的一个可信度锚点

个性化来源

引用以下一项或多项:

  • 相关投资组合公司
  • 公开的投资主题、演讲、帖子或文章
  • 共同联系人
  • 与投资者关注领域有明确的市场或产品契合点

如果缺少相关背景,需注明草稿仍需个性化,而非假装已完成。

跟进节奏

默认设置:

  • 第 0 天:首次对外联系
  • 第 4 或 5 天:简短跟进,附上一个新数据点
  • 第 10 到 12 天:最终跟进,明确结束

之后除非用户希望延长序列,否则不再继续推送。

暖介绍请求

让介绍人轻松操作:

  • 解释为何这次介绍是适合的
  • 包含一个可转发的简介
  • 保持可转发的简介在 100 字以内

会议后更新

包含:

  • 讨论的具体事项
  • 承诺的回答或更新
  • 如有可用的新证据点
  • 下一步行动

质量门控

在交付前检查:

  • 消息是否真正个性化
  • 请求是否明确
  • 证据点是否具体
  • 填充式赞美和软化语言是否已去除
  • 字数是否控制得紧凑

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

accessibility

Design, implement, and audit inclusive digital products using WCAG 2.2 Level AA. Use when building or auditing UI that must meet WCAG 2.2 Level AA, or when reviewing a change for keyboard, contrast, or screen-reader support.

affaan-m/claude-api

Anthropic Claude API patterns for Python and TypeScript. Covers Messages API, streaming, tool use, vision, extended thinking, batches, prompt caching, and Claude Agent SDK. Use when building applications with the Claude API or Anthropic SDKs.

affaan-m/everything-claude-code

End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches. Use when planning or executing a multi-channel product launch, or producing landing page, email, social, or ad copy.

affaan-m/everything-claude-code

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/everything-claude-code-conventions

Development conventions and patterns for everything-claude-code. JavaScript project with conventional commits.

affaan-m/frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use when the user asks to build web components, pages, or applications and the visual direction matters as much as the code quality.

affaan-m/gget

gget CLI and Python workflow for quick genomic database queries, sequence lookup, BLAST-style searches, enrichment checks, and reproducible bioinformatics evidence logs.

affaan-m/literature-review

Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.

affaan-m/motion-ui

Production-ready UI motion system for React/Next.js. Use when implementing animations, transitions, or motion patterns.

affaan-m/project-guidelines-example

Example project-specific skill template based on a real production application.

affaan-m/pubmed-database

Direct PubMed and NCBI E-utilities search workflows for biomedical literature, MeSH queries, PMID lookup, citation retrieval, and API-backed literature monitoring.

affaan-m/scholar-evaluation

Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.

affaan-m/uspto-database

USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.

agent-architecture-audit

Full-stack diagnostic for agent and LLM applications. Audits the 12-layer agent stack for wrapper regression, memory pollution, tool discipline failures, hidden repair loops, and rendering corruption. Produces severity-ranked findings with code-first fixes. Essential for developers building agent applications, autonomous loops, or any LLM-powered feature. Use when an agent or LLM feature misbehaves and the failing layer is unknown, or before shipping an agent stack.

agent-eval

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Use when choosing between coding agents, or when a change to an agent setup needs measured pass rate, cost, and time rather than an impression.

agent-harness-construction

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates. Use when defining or revising an agent

agentic-engineering

Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing. Use when planning or executing engineering work that agents will carry out end to end.

agentic-os

Build persistent multi-agent operating systems on Claude Code. Covers kernel architecture, specialist agents, slash commands, file-based memory, scheduled automation, and state management without external databases. Use when building a persistent multi-agent system on Claude Code with its own memory, commands, and scheduling.

agent-introspection-debugging

Structured self-debugging workflow for AI agent failures using capture, diagnosis, contained recovery, and introspection reports. Use when an agent run fails and you need a reproducible diagnosis instead of a retry.

agent-payment-x402

Add x402 payment execution to AI agents with per-task budgets, spending controls, and non-custodial wallets. Supports Base through agentwallet-sdk and X Layer through OKX Payments / OKX Agent Payments Protocol. Use when an agent must pay for something itself and needs per-task budgets, spending controls, and a non-custodial wallet.

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