business-investment-advisor

这段内容是审核时保存的快照。外部来源才是完整且最新的版本。

---
name: business-investment-advisor
description: >
  This skill should be used when the user asks to "screen investments", "analyze a portfolio",
  "evaluate investment opportunities", "run due diligence", "assess investment risk",
  "calculate ROI", or "diversify portfolio holdings".
license: MIT + Commons Clause
metadata:
  version: 1.0.0
  author: borghei
  category: finance
  domain: investment
  updated: 2026-04-02
  tags: [investment, portfolio, due-diligence, roi, risk-analysis, diversification]
---
# Business Investment Advisor Skill

## Overview

Production-ready investment analysis toolkit for screening opportunities, analyzing portfolio composition, and generating due diligence checklists. Designed for business owners, angel investors, and corporate development teams evaluating investments from $50K to $50M.

## Clarify First

Before the analysis, confirm these inputs. If any is unknown or vague, ASK — do not assume:

- [ ] **Which task** — screen opportunities, analyze a portfolio, or generate a DD checklist (selects the script and the required input JSON)
- [ ] **Screening thresholds** — minimum ROI, maximum payback, and acceptable risk level (drives which opportunities pass and how they rank)
- [ ] **Target profile for DD** — investment type, stage, and check size (drives which items and weights the due-diligence checklist generates)
- [ ] **Risk tolerance / concentration limits** — max exposure per holding or sector (drives portfolio rebalancing recommendations)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

## Quick Start

```bash
# Screen investments by criteria (ROI, risk, payback)
python scripts/investment_screener.py opportunities.json --min-roi 15 --max-payback 36

# Analyze portfolio diversification and risk exposure
python scripts/portfolio_analyzer.py portfolio.json

# Generate due diligence checklist for an investment target
python scripts/due_diligence_checklist.py --type saas --stage series-a --amount 500000
```

## Tools Overview

| Tool | Purpose | Input | Output |
|------|---------|-------|--------|
| `investment_screener.py` | Filter & rank investments | JSON with opportunity data | Ranked opportunities + scores |
| `portfolio_analyzer.py` | Portfolio risk & diversification | JSON with holdings | Risk report + recommendations |
| `due_diligence_checklist.py` | DD checklist generation | Investment parameters | Structured checklist + scoring |

## Workflows

### Workflow 1: Opportunity Evaluation Pipeline

1. Compile investment opportunities into JSON format (see Common Patterns)
2. Run `investment_screener.py` with your criteria filters
3. Review ranked results focusing on composite score
4. For top candidates, run `due_diligence_checklist.py` to generate investigation plan
5. After DD completion, update portfolio model and run `portfolio_analyzer.py`

### Workflow 2: Portfolio Health Check

1. Export current holdings to JSON format
2. Run `portfolio_analyzer.py` to assess diversification
3. Review concentration risk, sector exposure, and liquidity analysis
4. Use recommendations to identify rebalancing opportunities
5. Screen new opportunities with `investment_screener.py` to fill gaps

### Workflow 3: Due Diligence Sprint

1. Run `due_diligence_checklist.py` with target parameters
2. Assign checklist items to team members with deadlines
3. Score each item as investigation progresses (0-10)
4. Re-run with `--score-file` to get weighted DD score
5. Use composite score to support go/no-go decision

## Reference Documentation

See `references/investment-frameworks.md` for detailed frameworks including:
- Investment scoring methodology
- Risk assessment matrix
- Portfolio diversification guidelines
- Due diligence phase frameworks
- Industry-specific evaluation criteria

## Common Patterns

### Pattern: Investment Opportunities JSON
```json
{
  "opportunities": [
    {
      "name": "TechCo S