How do I install the Check Deck skill?

Run npx skillmds@latest add gabrielmoreira/check-deck in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Check Deck safe to use?

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Which AI agents work with Check Deck?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Check Deck free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Derived from anthropics/fi….

Who published Check Deck?

gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Check Deck by gabrielmoreira — Agent Skill

Name: Check Deck
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

File contents

IB Deck Checker

Perform comprehensive QC on investment banking presentations across four dimensions.

Prerequisites

Extract presentation content before checking:

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:

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 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.

Categorize by severity:

Critical: Number mismatches, factual errors
Important: Language, narrative alignment
Minor: Formatting inconsistencies

---name: check-deckdescription: Investment deck QC: number consistency, data-narrative alignment, IB language, formatting auditlicense: Derived from anthropics/financial-services-plugins (Apache-2.0).--- # 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

Frequently asked questions

Check Deck