check-deck
Investment deck QC: number consistency, data-narrative alignment, IB language, formatting audit
npx skills add ginlix-ai/LangAlpha --skill check-deck --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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" - Sl
- Prerequisites
- Check Workflow
- 1. Number Consistency
- 2. Data-Narrative Alignment
- 3. Language Polish
- 4. Formatting QC
- Output
python -m markitdown presentation.pptx > content.md python scripts/extract_numbers.py content.md --check
What does the check-deck skill do?
Investment deck QC: number consistency, data-narrative alignment, IB language, formatting audit
How do I install it?
Run `npx skills add ginlix-ai/LangAlpha --skill check-deck --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ginlix-ai/LangAlpha, a repository with 1,604 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.