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投資者材料

建立與更新募資簡報、一頁摘要、投資者備忘錄、加速器申請書、財務模型及募資材料。當使用者需要投資者面向的文件、預測、資金用途表、里程碑計劃,或需要在多項募資資產之間保持內部一致性的材料時使用。

投資者材料 是什麼?

此技能專注於生成投資者面向的材料,確保所有文件在事實與假設上保持一致,避免矛盾。它支援多種資產類型,包括募資簡報、一頁摘要、財務模型及加速器申請書,並提供每個資產的具體指導與工作流程。核心原則是建立單一事實來源,並在撰寫前進行交叉檢查,以提升材料的可信度與防禦力。此技能適用於任何AI代理平台,如Claude Code或Cursor,透過結構化流程協助使用者快速產出高品質的募資文件。

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

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

投資者材料 是做什麼的?

建立一致、可信且易於辯護的投資者面向材料。

啟用時機

  • 建立或修改募資簡報
  • 撰寫投資者備忘錄或一頁摘要
  • 建立財務模型、里程碑計劃或資金用途表
  • 回答加速器或育成中心的申請問題
  • 圍繞單一事實來源對齊多項募資文件

黃金法則

所有投資者材料必須彼此一致。

在撰寫之前,建立或確認單一事實來源:

  • 成長指標
  • 定價與營收假設
  • 募資規模與工具
  • 資金用途
  • 團隊簡介與職稱
  • 里程碑與時程

如果出現矛盾的數字,請在起草前停止並解決它們。

核心工作流程

  1. 盤點標準事實
  2. 識別缺失的假設
  3. 選擇資產類型
  4. 以明確邏輯起草資產
  5. 交叉檢查每個數字是否與事實來源一致

資產指導

募資簡報

建議流程:

  1. 公司 + 切入點
  2. 問題
  3. 解決方案
  4. 產品 / 展示
  5. 市場
  6. 商業模式
  7. 成長
  8. 團隊
  9. 競爭 / 差異化
  10. 請求
  11. 資金用途 / 里程碑
  12. 附錄

如果使用者想要網頁原生簡報,請將此技能與 frontend-slides 搭配使用。

一頁摘要 / 備忘錄

  • 用一句簡潔的話陳述公司的業務
  • 說明為什麼現在是時機
  • 早期納入成長與證明點
  • 明確提出請求
  • 保持主張易於驗證

財務模型

包含:

  • 明確的假設
  • 必要時包含悲觀 / 基準 / 樂觀案例
  • 清晰的逐層營收邏輯
  • 與里程碑連結的支出
  • 當決策依賴假設時進行敏感度分析

加速器申請書

  • 回答確切提出的問題
  • 優先展示成長、洞見與團隊優勢
  • 避免誇大
  • 保持內部指標與簡報及模型一致

應避免的紅旗

  • 無法驗證的主張
  • 缺乏假設的模糊市場規模估算
  • 不一致的團隊角色或職稱
  • 未能清楚加總的營收計算
  • 在假設脆弱的情況下誇大確定性

品質檢查

在交付前:

  • 每個數字都與當前的事實來源一致
  • 資金用途與營收層級正確加總
  • 假設是顯而易見的,而非隱藏
  • 故事清晰,無誇大語言
  • 最終資產在合作夥伴會議中具有防禦力

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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