fsi-fa-check-deck
Investment banking presentation quality checker.
Skill by d-wwei
Install
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
Use cases: presentations, data
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- 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 inconsistenciesFrom d-wwei/openclaw-financial-services, Apache-2.0.
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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
- Source
- GitHubgithub-graphql
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Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage.
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Draft concise morning meeting notes summarizing overnight developments, trade ideas, and key events for coverage stocks.
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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)