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Extends the Windows-gating work to the optional-skills/ tree. Every
SKILL.md that previously omitted the platforms: field now carries an
explicit declaration, which Hermes's loader (agent.skill_utils.
skill_matches_platform) honors to skip-load on incompatible OSes.
58 skills declared cross-platform (platforms: [linux, macos, windows]):
autonomous-ai-agents/blackbox, autonomous-ai-agents/honcho
blockchain/base, blockchain/solana
communication/one-three-one-rule
creative/blender-mcp, creative/concept-diagrams, creative/hyperframes,
creative/kanban-video-orchestrator, creative/meme-generation
devops/cli (inference-sh-cli), devops/docker-management
dogfood/adversarial-ux-test
email/agentmail
finance/3-statement-model, finance/comps-analysis, finance/dcf-model,
finance/excel-author, finance/lbo-model, finance/merger-model,
finance/pptx-author
health/fitness-nutrition, health/neuroskill-bci
mcp/fastmcp, mcp/mcporter
migration/openclaw-migration
mlops/accelerate, mlops/chroma, mlops/clip, mlops/guidance,
mlops/hermes-atropos-environments, mlops/huggingface-tokenizers,
mlops/instructor, mlops/lambda-labs, mlops/llava, mlops/modal,
mlops/peft, mlops/pinecone, mlops/pytorch-lightning, mlops/qdrant,
mlops/saelens, mlops/simpo, mlops/stable-diffusion
productivity/canvas, productivity/shop-app, productivity/shopify,
productivity/siyuan, productivity/telephony
research/domain-intel, research/drug-discovery, research/duckduckgo-search,
research/gitnexus-explorer, research/parallel-cli, research/scrapling
security/1password, security/oss-forensics, security/sherlock
web-development/page-agent
5 skills gated from Windows (platforms: [linux, macos]):
mlops/flash-attention - Flash Attention wheels are Linux-first; Windows
install requires building from source with CUDA
mlops/faiss - faiss-gpu has no Windows wheel; gate rather than
leak partial (faiss-cpu) support
mlops/nemo-curator - NVIDIA NeMo ecosystem has no first-class Windows path
mlops/slime - Megatron+SGLang RL stack is Linux-only in practice
mlops/whisper - openai-whisper + ffmpeg setup on Windows is
non-trivial; gate until Windows install stanza lands
Methodology: scanned every SKILL.md for Windows-hostile signals
(apt-get, brew, systemd, osascript, ptrace, X11 binaries, POSIX-only
Python APIs, Docker POSIX $(pwd) bind-mounts, explicit 'linux-only' /
'macos-only' text). 3 skills flagged as having hard signals on review:
docker-management and qdrant only had POSIX $(pwd) docker examples and
the tools themselves (Docker Desktop, Qdrant) run fine on Windows —
declared ALL. whisper had an apt/brew ffmpeg install path and nothing
else but the openai-whisper Windows install story is rough enough to
warrant gating.
Strict-over-lenient policy: when in doubt, gate. Easier to un-gate after
verified Windows support lands than to leak partial support that
manifests as mid-task failures for Windows users.
173 lines
6.4 KiB
Markdown
173 lines
6.4 KiB
Markdown
---
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name: pptx-author
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description: Build PowerPoint decks headless with python-pptx. Pairs with excel-author for model-backed decks where every number traces to a workbook cell. Use for pitch decks, IC memos, earnings notes.
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version: 1.0.0
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author: Anthropic (adapted by Nous Research)
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license: Apache-2.0
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platforms: [linux, macos, windows]
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metadata:
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hermes:
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tags: [powerpoint, pptx, python-pptx, presentation, finance]
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related_skills: [excel-author, powerpoint]
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---
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# pptx-author
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Produce a .pptx file on disk using `python-pptx`. Use when you need to deliver a deck as a file artifact, not drive a live PowerPoint session.
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Adapted from Anthropic's `pptx-author` and `pitch-deck` skills in [anthropics/financial-services](https://github.com/anthropics/financial-services). The MCP / Office-JS branches of the originals are dropped — this assumes headless Python.
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For the broader, already-shipped PowerPoint authoring skill (slides, speaker notes, embeds, media), see the built-in `powerpoint` skill. This skill is a lighter-weight pattern tuned for model-backed decks (pitch decks, IC memos, earnings notes) where every number must trace to a source workbook.
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## Output contract
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- Write to `./out/<name>.pptx`. Create `./out/` if it does not exist.
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- Return the relative path in your final message.
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## Setup
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```bash
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pip install "python-pptx>=0.6"
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```
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## Core conventions
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### One idea per slide
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Title states the takeaway; body supports it. A slide titled "Q3 Revenue" is weak; "Revenue growth accelerated to 14% Y/Y in Q3" is strong.
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### Every number traces to the model
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If a figure on a slide came from `./out/model.xlsx`, footnote the sheet and cell.
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```
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Revenue: $1,250M (Source: model.xlsx, Inputs!C3)
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```
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Never transcribe numbers from memory or from a summary — open the workbook, read the named range, and bind the deck value to it programmatically when you can.
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### Use the firm template when one is mounted
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If `./templates/firm-template.pptx` exists, load it so the deck inherits branded colors, fonts, and master layouts.
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```python
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from pptx import Presentation
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from pathlib import Path
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template = Path("./templates/firm-template.pptx")
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prs = Presentation(str(template)) if template.exists() else Presentation()
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```
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### Charts: PNG-from-model beats native pptx charts
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When fidelity matters (the model's chart styling must match the deck exactly), render the chart to PNG from the source workbook and embed the image. Native `pptx.chart` charts are fragile and often don't match firm conventions.
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```python
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from pptx.util import Inches
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slide.shapes.add_picture("./out/charts/football_field.png",
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Inches(1), Inches(2),
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width=Inches(8))
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```
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### No external sends
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This skill writes a file. It never emails, uploads, or posts. Orchestration layers handle delivery.
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## Skeleton
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```python
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from pptx import Presentation
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from pptx.util import Inches, Pt
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from pptx.dml.color import RGBColor
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from pathlib import Path
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template = Path("./templates/firm-template.pptx")
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prs = Presentation(str(template)) if template.exists() else Presentation()
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# Title slide
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slide = prs.slides.add_slide(prs.slide_layouts[0])
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slide.shapes.title.text = "Project Aurora — Strategic Alternatives"
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slide.placeholders[1].text = "Preliminary Discussion Materials"
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# Valuation summary slide (title-only layout)
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slide = prs.slides.add_slide(prs.slide_layouts[5])
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slide.shapes.title.text = "Valuation implies $38–$52 per share across methodologies"
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# Add a table bound to model outputs
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rows, cols = 5, 4
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tbl_shape = slide.shapes.add_table(rows, cols,
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Inches(0.5), Inches(1.5),
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Inches(9), Inches(3))
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tbl = tbl_shape.table
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headers = ["Methodology", "Low ($)", "Mid ($)", "High ($)"]
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for c, h in enumerate(headers):
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tbl.cell(0, c).text = h
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# In a real deck, read these from the model workbook with openpyxl
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data = [
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("Trading comps", "35", "41", "48"),
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("Precedent M&A", "39", "45", "52"),
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("DCF (base)", "36", "43", "51"),
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("LBO (10% IRR)", "33", "38", "44"),
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]
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for r, row in enumerate(data, start=1):
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for c, val in enumerate(row):
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tbl.cell(r, c).text = val
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# Embed a chart rendered from the model
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slide = prs.slides.add_slide(prs.slide_layouts[5])
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slide.shapes.title.text = "Football field — current price $42"
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slide.shapes.add_picture("./out/charts/football_field.png",
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Inches(1), Inches(1.8), width=Inches(8))
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Path("./out").mkdir(exist_ok=True)
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prs.save("./out/pitch-aurora.pptx")
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```
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## Binding deck numbers to the source workbook
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Read named ranges or specific cells from your Excel model so deck numbers never drift.
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```python
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from openpyxl import load_workbook
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wb = load_workbook("./out/model.xlsx", data_only=True)
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def nr(name):
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"""Resolve a named range to its current computed value."""
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rng = wb.defined_names[name]
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sheet, coord = next(rng.destinations)
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return wb[sheet][coord].value
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revenue_fy24 = nr("RevenueFY24")
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implied_mid = nr("ImpliedSharePriceBase")
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```
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Then build deck content using those values:
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```python
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slide.shapes.title.text = f"Implied share price of ${implied_mid:.2f} (base case)"
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```
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Remember to recalculate the workbook before reading it — openpyxl only sees computed values if something has already calculated the sheet. Run the recalc helper in the `excel-author` skill first, or open/save through a real Excel session.
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## Slide-type checklist for pitch decks
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A typical banking pitch deck follows this structure. Not prescriptive, but useful as a starting skeleton:
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1. Cover / title
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2. Disclaimer
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3. Table of contents
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4. Situation overview
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5. Company snapshot (the target)
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6. Market / sector context
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7. Valuation summary (football field) — the money slide
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8. Trading comps detail
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9. Precedent transactions detail
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10. DCF summary
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11. Illustrative LBO / sponsor case
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12. Process considerations
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13. Appendix
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## When NOT to use this skill
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- Users in a live PowerPoint session with an Office MCP available — drive their live doc instead.
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- Non-financial slideware (quarterly all-hands, marketing decks) — use the broader `powerpoint` skill.
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- Decks with heavy animation, transitions, or speaker notes — use the broader `powerpoint` skill.
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## Attribution
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Conventions adapted from Anthropic's Claude for Financial Services plugin suite, Apache-2.0 licensed. Original: https://github.com/anthropics/financial-services/tree/main/plugins/agent-plugins/pitch-agent/skills/pptx-author
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