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fsi-fa-check-deck

Investment banking presentation quality checker.

Skill by d-wwei

IndexedApache-2.0★ 17
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/d-wwei-fsi-fa-check-deck

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Investment banking presentation quality checker. Reviews pitch decks and client-ready presentations for: (1) Number consistency across slides, (2) Data-narrative alignment, (3) Language polish for IB standards, (4) Formatting QC. Use when asked to review, check, or QC any IB presentation, pitch deck, or client materials before delivery.

Use cases: presentations, data

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
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Secrets
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Install scripts
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Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/fsi-fa-check-deck

What's inside

Skill name
fsi-fa-check-deck
Description
Investment banking presentation quality checker. Reviews pitch decks and client-ready presentations for: (1) Number consistency across slides, (2) Data-narrative alignment, (3) Language polish for IB standards, (4) Formatting QC. Use when asked to review, check, or QC any IB presentation, pitch deck, or client materials before delivery.
License
Apache-2.0
Instructions
90 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts

Files (4)

  • SKILL.md
  • ib-terminology.md · references/
  • report-format.md · references/
  • extract_numbers.py · scripts/

SKILL.md (first lines)

# IB Deck Checker

Perform comprehensive QC on investment banking presentations across four dimensions.

## Prerequisites

Extract presentation content before checking:
```bash
python -m markitdown presentation.pptx > content.md
```

For visual inspection, convert to images using the `pptx` skill workflow.

## Check Workflow

### 1. Number Consistency

Extract numbers with slide references:
```bash
python scripts/extract_numbers.py content.md --check
```

Verify:
- Key metrics match across all slides (revenue, EBITDA, multiples)
- Calculations are correct (totals, percentages, growth rates)
- Units consistent (same scale used: millions vs billions, % vs bps)
- Unit formatting consistent (e.g., $M vs $MM, $B vs $Bn - pick one style throughout)
- Time periods aligned (FY vs LTM vs quarterly)

Flag pattern:
```
ISSUE: Revenue mismatch
- $500M on Slides 3, 8
- $485M on Slide 15 (DCF input)
ACTION: Reconcile figures
```

### 2. Data-Narrative Alignment

Map claims to supporting data:
- Trend statements → chart directions
- Market position claims → revenue/share data
- Factual assertions → verify accuracy

Flag contradictions:
```
ISSUE: Narrative contradicts data
- Slide 4: "declining margins"
- Slide 7 chart: margins 18% → 22%
ACTION: Update narrative or verify data
```

Check plausibility (e.g., "#1 player in $100B market" with $200M revenue = 0.2% share).

### 3. Language Polish

Scan for:
- Casual phrasing ("pretty good", "a lot of")
- Vague quantifiers without specifics
- Contractions, exclamation points
- Inconsistent terminology

See [references/ib-terminology.md](references/ib-terminology.md) for replacement patterns.

Flag pattern:
```
ISSUE: Casual language (Slide 12)
- "This deal is a no-brainer"
→ "The transaction presents a compelling value proposition"
```

### 4. Formatting QC

Audit each slide for:
- **Charts**: Source citations, axis labels, legends
- **Typography**: Consistent fonts, size hierarchy
- **Numbers**: Consistent formatting (1,000 vs 1K)
- **Dates**: Consistent format throughout
- **Footnotes**: Proper sourcing and disclaimers

## Output

Present findings using the template in [references/report-format.md](references/report-format.md).

Categorize by severity:
- **Critical**: Number mismatches, factual errors
- **Important**: Language, narrative alignment
- **Minor**: Formatting inconsistencies

From d-wwei/openclaw-financial-services, Apache-2.0.

More from d-wwei/openclaw-financial-services

Signals

Stars
17
Forks
4
Open issues
0
Last commit (this folder)
Feb 25, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from d-wwei

Cite this page

fsi-fa-check-deck skill. Agent Mart. https://agentmart.dev/skills/d-wwei-fsi-fa-check-deck (last updated 2026-10-24)