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Produce a .pptx file on disk (headless) instead of driving a live PowerPoint document — for managed-agent sessions with no open Office app.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "pptx-author" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/financial-services/main/plugins/agent-plugins/pitch-agent/skills/pptx-author/SKILL.md 2. Save it as ~/.claude/skills/pptx-author/SKILL.md 3. Reload skills and tell me it's ready
Use this skill when running headless (managed-agent / CMA mode) and you need to deliver a PowerPoint deck as a file artifact rather than editing a live document via mcp__office__powerpoint_*.
./out/<name>.pptx. Create ./out/ if it does not exist.Write a short Python script and run it with Bash. Use python-pptx:
from pptx import Presentation
from pptx.util import Inches, Pt
prs = Presentation("./templates/firm-template.pptx") # if a template is provided
# or: prs = Presentation()
slide = prs.slides.add_slide(prs.slide_layouts[5]) # title-only
slide.shapes.title.text = "Valuation Summary"
# ... add tables / charts / text boxes ...
prs.save("./out/pitch-<target>.pptx")
pitch-deck skill)./out/model.xlsx, footnote the sheet and cell../templates/; otherwise default layouts.If mcp__office__powerpoint_* tools are available (Cowork plugin mode), use those instead — they drive the user's live document with review checkpoints. This skill is the file-producing fallback for headless runs.
Create professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.
Build pre-earnings analysis with estimate models, scenario frameworks, and key metrics to watch. Use before a company reports quarterly earnings to prepare positioning notes, set up bull/bear scenarios, and identify what will move the stock. Triggers on "earnings preview", "what to watch for [company] earnings", "pre-earnings", "earnings setup", or "preview Q[X] for [company]".
Root-cause a reconciliation break to its source transaction or posting — follow the audit trail from the break row back to the originating entry on each side and state what differs and why. Use after gl-recon has classified a break.
Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model (including financial-model integrity checks like BS balance, cash tie-out, and logic sanity). Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this spreadsheet", "sanity check this", "debug model", "model check", "model won't balance", "something's off in my model", "model review".
Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format. **Perfect for:** - Public company valuation (M&A, investment analysis) - Benchmarking performance vs. industry peers - Pricing IPOs or funding rounds - Identifying valuation outliers (over/under-valued) - Supporting investment committee presentations - Creating sector overview reports **Not ideal for:** - Private companies without comparable public peers - Highly diversified conglomerates - Distressed/bankrupt companies - Pre-revenue startups - Companies with unique business models
Build accretion/dilution analysis for M&A transactions. Models pro forma EPS impact, synergy sensitivities, and purchase price allocation. Use when evaluating a potential acquisition, preparing merger consequences analysis for a pitch, or advising on deal terms. Triggers on "merger model", "accretion dilution", "M&A model", "pro forma EPS", "merger consequences", or "deal impact analysis".