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投資者外聯

撰寫冷郵件、溫和介紹短文、後續追蹤、更新郵件以及用於募資的投資者溝通內容。當用戶需要向天使投資人、創投、策略投資者或加速器進行外聯,且需要簡潔、個人化、面向投資者的訊息時使用。

投資者外聯 是什麼?

這個「投資者外聯」技能旨在協助 AI 代理用戶(例如使用 Claude Code、Cursor 或 Codex 的使用者)創建高效、專業且易於行動的投資者溝通內容。它專注於幫助新創公司創辦人進行募資過程中的關鍵溝通,包括冷郵件、溫和介紹請求、會議後續追蹤以及投資者更新。此技能的核心原則是高度個人化、降低行動門檻、以具體證據取代形容詞,並嚴格避免使用無效或冗詞。它支援自動化生成結構化的郵件,並可整合品牌的聲音風格(透過 `brand-voice` 技能),且包含嚴格的品質檢查,確保每則訊息都具備明確的請求、具體的證據點,並針對特定投資者進行了個人化調整。

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

在你喜歡的 AI 中提問

開啟一個已預先載入此 Agent Skill 的新對話。

說明文件

投資者外聯 是做什麼的?

撰寫簡短、具體且易於行動的投資者溝通內容。

何時啟用

  • 撰寫給投資者的冷郵件
  • 起草溫和介紹請求
  • 會議後或無回應時發送後續追蹤
  • 在過程中撰寫投資者更新
  • 根據基金投資主題或合夥人契合度調整外聯策略

核心規則

  1. 為每則對外訊息進行個人化。
  2. 讓請求保持低行動門檻。
  3. 使用證據而非形容詞。
  4. 保持簡潔。
  5. 絕不發送可寄給任何投資者的通用副本。

語氣處理

如果用戶的語氣很重要,請先執行 brand-voice 並重複使用其 VOICE PROFILE。 此技能應保持投資者專用的結構和請求紀律,不應自行建立另一套語氣系統。

嚴格禁止

刪除並重寫以下任何內容:

  • 「我很樂於聯繫」
  • 「很興奮分享」
  • 沒有實際連結的通用主題讚美
  • 模糊的創辦人形容詞
  • 乞求式的語言
  • 當直接請求更明確時的軟性結尾問題

冷郵件結構

  1. 主旨:簡短且具體
  2. 開場:為何特別選擇此投資者
  3. 簡報:公司做什麼、為何是現在、以及哪些證據重要
  4. 請求:一個具體的下一步行動
  5. 結尾:姓名、職位,以及一個必要的可信度錨點

個人化來源

參考以下一項或多項:

  • 相關投資組合公司
  • 公開的投資主題、演講、文章或貼文
  • 共同人脈
  • 與投資者專注領域明顯的市場或產品契合度

如果缺少這些背景資訊,請說明草稿仍需個人化,而不是假裝已經完成。

後續追蹤節奏

預設:

  • 第 0 天:初次對外聯繫
  • 第 4 或 5 天:附帶一個新數據點的簡短後續追蹤
  • 第 10 至 12 天:附帶明確收尾的最終後續追蹤

除非用戶想要更長的序列,否則之後不要再持續提醒。

溫和介紹請求

讓聯繫人輕鬆行事:

  • 解釋為何此介紹是適合的
  • 包含一封可供轉發的短文
  • 將可供轉發的短文控制在 100 字以內

會後更新

包含:

  • 討論的具體事項
  • 承諾的答案或更新
  • 一個新的證據點(如適用)
  • 下一步行動

品質把關

在交付前:

  • 訊息確實經過個人化處理
  • 請求明確
  • 證據點具體
  • 無填充性質的讚美和軟性用語
  • 字數保持精簡

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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