技能详情（站内镜像，无评论）
作者：Aleksander Niebylski @aniebyl
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 0 · 184 · 0 current installs · 0 all-time installs
⭐ 0
安装量（当前） 0
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：aniebyl/olo-deal-memo
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
The skill is an instruction-only M&A investment memorandum generator whose requested capabilities and instructions are consistent with its stated purpose and it does not request extra credentials or install anything.
目的
Name and description (investment memorandum generation) align with the SKILL.md: structured memo sections, data-backed analysis, and multiple output formats. There are no declared binaries, env vars, or config paths that are unrelated to producing memos.
说明范围
Instructions stay within the domain of memo generation: aggregate DD data, RAG over uploaded documents, web research for market context, synthesize narrative and models. The SKILL.md is prescriptive about structure and quality standards. It is slightly high-level about how to 'pull existing DD data from platform' and 'web research' (no endpoints or credentials specified), which is expected for an instruction-only skill but leaves some implemen…
安装机制
No install spec and no code files—lowest-risk format. Nothing is written to disk or downloaded by the skill itself.
证书
The skill declares no required environment variables, credentials, or config paths. The data access it asks for (uploaded documents, platform DD data, web data) is proportionate to the stated purpose.
持久
always is false and there is no request to modify other skills or system-wide config. Autonomous agent invocation is allowed by default but that is normal and not a red flag on its own.
综合结论
This skill appears internally consistent, but before installing verify: (1) what platform data the agent can access when it asks to 'pull existing DD data from platform' — ensure only approved deal files are available; (2) where 'web research' calls are sent and whether those queries could leak confidential targets (avoid sending sensitive excerpts to public APIs); (3) how generated outputs (PDF, PPTX, Excel) are stored and shared—ensure they …
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Olo Deal Memo」。简介：Investment memorandum generation for M&A — structured deal write-ups from the a…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aniebyl/olo-deal-memo/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
---
name: olo-deal-memo
version: 1.0.0
description: Investment memorandum generation for M&A — structured deal write-ups from the acquirer's perspective with data-backed analysis
author: ololand.ai
author_url: https://ololand.ai
license: MIT
triggers:
- investment memo
- deal memo
- investment memorandum
- deal write-up
- ic memo
- investment committee
- deal recommendation
tags:
- finance
- documents
- m-and-a
- due-diligence
- investment-banking
---
# Investment Memorandum Generation
Generate structured investment memos from the acquiring company's perspective.
## Perspective
- Written **for** the acquiring company (use "we" for acquirer)
- Written **about** the target company (use company name or "the target")
- Align with acquirer's investment thesis and acquisition strategy
- Present balanced view: opportunity AND risk
## Memo Structure
### 1. Executive Summary (1 page)
- Transaction overview: target name, sector, deal size, structure
- Strategic rationale in 3-4 bullet points
- Key financial metrics (revenue, EBITDA, growth, valuation)
- Recommendation: Proceed / Proceed with Conditions / Pass
### 2. Company Overview
- Business description and history
- Products/services and revenue mix
- Customer base (count, concentration, retention)
- Management team assessment
- Organizational structure and headcount
### 3. Market & Competitive Position
- Industry overview and growth outlook (reference market intelligence)
- Competitive landscape and target's positioning
- Sustainable competitive advantages (moats)
- Key risks to market position
### 4. Financial Analysis
- Historical financials (3-5 years): revenue, EBITDA, margins, FCF
- Revenue quality: recurring %, customer concentration, cohort analysis
- Working capital dynamics and cash conversion
- CapEx requirements and capital intensity
- Key financial trends and inflection points
### 5. Valuation
- DCF analysis (base/bull/bear cases)
- Comparable company analysis (public comps)
- Precedent transaction analysis
- Implied valuation range and recommended offer price
- Sensitivity analysis on key assumptions
### 6. Strategic Rationale & Synergies
- Revenue synergies (cross-sell, market expansion, pricing)
- Cost synergies (overlap elimination, procurement, shared services)
- Timeline to achieve synergies (Year 1 / Year 2 / Year 3)
- Integration complexity and risk assessment
- Synergy value vs. premium paid analysis
### 7. Risk Assessment
- Deal-specific risks (top 5, ranked by impact × likelihood)
- Mitigation strategies for each risk
- Deal-breaker thresholds
- Sensitivity of returns to key risk scenarios
### 8. Transaction Structure & Returns
- Proposed structure (asset vs. stock, cash vs. equity mix)
- Sources and uses of funds
- Pro forma leverage and coverage ratios
- Expected returns: IRR, MOIC, payback period
- Key assumptions driving returns
### 9. Recommendation & Next Steps
- Clear recommendation with confidence level
- Conditions or diligence items to resolve
- Proposed timeline for next phase
- Required approvals and process steps
## Data Aggregation Strategy
1. Pull existing DD data from platform (fast, <1s)
2. Fill gaps with RAG queries over uploaded documents (medium, ~3s)
3. Augment with market context via web research (slower, ~5s)
4. Synthesize into narrative sections with AI (~5-10s)
## Quality Standards
- Every claim backed by data point with source
- Financial figures must reconcile across sections
- Clearly separate facts from assumptions from opinions
- Use conditional language for projections ("we estimate", "management projects")
- Flag data gaps explicitly rather than filling with generic text
- Total generation target: 15-20 seconds
## Output Formats
- **Markdown**: Primary format for platform display and editing
- **PDF**: Professional layout for IC distribution
- **PPTX**: Presentation format for deal committee meetings
- **Excel**: Supporting financial model and sensitivity tables