PPTX Author

What it does

When your agent uses it

• Tasks that involve PowerPoint presentations

Example prompts

• “/pptx-author”

Requirements

• Python 3

Workflow steps

12 steps, taken from the first numbered list in SKILL.md.

1. 1Cover / title
2. 2Disclaimer
3. 3Table of contents
4. 4Situation overview
5. 5Company snapshot (the target)
6. 6Market / sector context
7. 7Valuation summary (football field) — the money slide
8. 8Trading comps detail
9. 9Precedent transactions detail
10. 10DCF summary
11. 11Illustrative LBO / sponsor case
12. 12Process considerations

What it can do on your machine

Read from SKILL.md and the folder at commit b94464a. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  Shell commands in SKILL.md call:

  • pip

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  Links to these hosts (documentation or services it may open):

  • github.com

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

PPTX Author loads about 1.6k tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 470 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~15

When it runs · the whole SKILL.md, loaded when a task matches

~1.6k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Luciole-Studio/Misaka-Agent at commit b94464a, republished under its Apache-2.0 licence (© Luciole-Studio). 470 words, ~1,599 tokens.

name

pptx-author

description

Build PowerPoint decks headless with python-pptx.

version

1.0.0

author

Anthropic (adapted by Nous Research)

license

Apache-2.0

platforms

linux, macos, windows

pip install "python-pptx>=0.6"

Revenue: $1,250M  (Source: model.xlsx, Inputs!C3)

from pptx import Presentation
from pathlib import Path

template = Path("./templates/firm-template.pptx")
prs = Presentation(str(template)) if template.exists() else Presentation()

from pptx.util import Inches
slide.shapes.add_picture("./out/charts/football_field.png",
                         Inches(1), Inches(2),
                         width=Inches(8))

from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.dml.color import RGBColor
from pathlib import Path

template = Path("./templates/firm-template.pptx")
prs = Presentation(str(template)) if template.exists() else Presentation()

# Title slide
slide = prs.slides.add_slide(prs.slide_layouts[0])
slide.shapes.title.text = "Project Aurora — Strategic Alternatives"
slide.placeholders[1].text = "Preliminary Discussion Materials"

# Valuation summary slide (title-only layout)
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Valuation implies $38–$52 per share across methodologies"

# Add a table bound to model outputs
rows, cols = 5, 4
tbl_shape = slide.shapes.add_table(rows, cols,
                                   Inches(0.5), Inches(1.5),
                                   Inches(9), Inches(3))
tbl = tbl_shape.table
headers = ["Methodology", "Low ($)", "Mid ($)", "High ($)"]
for c, h in enumerate(headers):
    tbl.cell(0, c).text = h

# In a real deck, read these from the model workbook with openpyxl
data = [
    ("Trading comps",     "35", "41", "48"),
    ("Precedent M&A",     "39", "45", "52"),
    ("DCF (base)",        "36", "43", "51"),
    ("LBO (10% IRR)",     "33", "38", "44"),
]
for r, row in enumerate(data, start=1):
    for c, val in enumerate(row):
        tbl.cell(r, c).text = val

# Embed a chart rendered from the model
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Football field — current price $42"
slide.shapes.add_picture("./out/charts/football_field.png",
                         Inches(1), Inches(1.8), width=Inches(8))

Path("./out").mkdir(exist_ok=True)
prs.save("./out/pitch-aurora.pptx")

from openpyxl import load_workbook

wb = load_workbook("./out/model.xlsx", data_only=True)
def nr(name):
    """Resolve a named range to its current computed value."""
    rng = wb.defined_names[name]
    sheet, coord = next(rng.destinations)
    return wb[sheet][coord].value

revenue_fy24 = nr("RevenueFY24")
implied_mid  = nr("ImpliedSharePriceBase")

slide.shapes.title.text = f"Implied share price of ${implied_mid:.2f} (base case)"

© Luciole-Studio, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in misaka/core/skills/assets/optional/finance/pptx-author of Luciole-Studio/Misaka-Agent.

Open the folder on GitHubat commit b94464a

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in Luciole-Studio/Misaka-Agent, which our catalogue first saw on October 7, 2026.

• NousResearch/hermes-agentoptional-skills/finance/pptx-author
• johnson7788/MultiUserClawhermes-agent/optional-skills/finance/pptx-author