excel-author – Documents & Office skill for AI agents
Build auditable financial workbooks headless via openpyxl.
Install the excel-author skill with one command
Pick the tool you use, copy the command and paste it in your terminal. The skill lands in that tool's skills folder and is ready in your next session.
Claude Code
mkdir -p ~/.claude/skills && curl -fsSL https://skill.dn1nguoi.com/z/excel-author-398c3.tgz | tar xz -C ~/.claude/skills
Call it in Claude Code: /excel-author – then describe the task you want done.
Codex
mkdir -p ~/.codex/skills && curl -fsSL https://skill.dn1nguoi.com/z/excel-author-398c3.tgz | tar xz -C ~/.codex/skills
Call it in Codex: $excel-author – then describe the task you want done.
Hermes Agent
mkdir -p ~/.hermes/skills && curl -fsSL https://skill.dn1nguoi.com/z/excel-author-398c3.tgz | tar xz -C ~/.hermes/skills
Call it in Hermes Agent: /excel-author – then describe the task you want done.
DeepSeek
mkdir -p ~/.deepcode/skills && curl -fsSL https://skill.dn1nguoi.com/z/excel-author-398c3.tgz | tar xz -C ~/.deepcode/skills
Call it in DeepSeek: /excel-author – then describe the task you want done.
SKILL.md content
excel-author
Produce an .xlsx file on disk using openpyxl. Follow the banker-grade conventions below so the model is auditable, flexible, and reviewable by someone other than the person who built it.
Adapted from Anthropic's xlsx-author and audit-xls skills in the [anthropics/financial-services](https://github.com/anthropics/financial-services) repo. The MCP / Office-JS / Cowork-specific branches of the originals are dropped — this skill assumes headless Python.
Output contract
- Write to
./out/<name>.xlsx. Create./out/if it does not exist. - Return the relative path in your final message so downstream tools can pick it up.
- One logical model per file. Do not append to an existing workbook unless explicitly asked.
Setup
Use python when it already imports openpyxl (the Hermes Docker image ships
it). Otherwise, when hermes is on PATH, let Hermes build its shared, pinned
documents environment under the Hermes home (safe to run from several agents
at once); in a Docker sandbox without Hermes the block builds a venv in the
sandbox home with the same pinned versions. It is the same block as the
microsoft-office/pdf skills. Never pip install into the interpreter that
runs Hermes:
python -c "import openpyxl" 2>/dev/null && PY=python || if command -v hermes >/dev/null 2>&1; then
PY="$(hermes pm environment documents --extra documents --extra documents-pdf)"
else
PY="$HOME/.cache/hermes-docs-venv/bin/python"
"$PY" -c "import docx, openpyxl, pptx, reportlab, pypdf, pdfplumber, pypdfium2" 2>/dev/null || (
# Safe to run from several agents at once: each caller builds a private venv,
# a symlink publishes the first finished one atomically, the others delete theirs.
mkdir -p "$HOME/.cache" && cd "$HOME/.cache" && stage="$(mktemp -d hermes-docs-venv.XXXXXX)" || exit 1
old="$(readlink hermes-docs-venv)" # an earlier build that no longer imports, if any
python3 -m venv "$stage" &&
"$stage/bin/python" -m pip install -q --disable-pip-version-check python-docx==1.2.0 openpyxl==3.1.5 python-pptx==1.0.2 reportlab==5.1.0 pypdf==6.21.2 pdfplumber==0.11.10 pypdfium2==5.14.0 &&
"$stage/bin/python" -c "import docx, openpyxl, pptx, reportlab, pypdf, pdfplumber, pypdfium2" &&
if [ -z "$old" ]; then python3 -c 'import os, sys; os.symlink(*sys.argv[1:])' "$stage" hermes-docs-venv
elif [ "$(readlink hermes-docs-venv)" = "$old" ]; then
ln -s "$stage" "$stage.lnk" && python3 -c 'import os, sys; os.replace(*sys.argv[1:])' "$stage.lnk" hermes-docs-venv &&
case "$old" in hermes-docs-venv.??????) rm -rf "$old" ;; esac
fi 2>/dev/null
[ "$(readlink hermes-docs-venv)" = "$stage" ] || rm -rf "$stage" "$stage.lnk"
)
fi
export PYRun the model-building Python with "$PY".
Core conventions (non-negotiable)
Blue / black / green cell color
- Blue (
Font(color="0000FF")) — hardcoded input a human entered. Revenue drivers, WACC inputs, terminal growth, market data. - Black (default) — formula. Every derived cell is a live Excel formula.
- Green (
Font(color="006100")) — link to another sheet or external file.
A reviewer can then scan the sheet and immediately see what's an assumption vs. what's computed.
Formulas over hardcodes
Every calculation cell MUST be a formula string, never a number computed in Python and pasted as a value.
# WRONG — silent bug waiting to happen
ws["D20"] = revenue_prior_year * (1 + growth)
# CORRECT — flexes when the user changes the assumption
ws["D20"] = "=D19*(1+$B$8)"The only hardcoded numbers permitted:
1. Raw historical inputs (actual revenues, reported EBITDA, etc.)
2. Assumption drivers the user is meant to flex (growth rates, WACC inputs, terminal g)
3. Current market data (share price, debt balance) — with a cell comment documenting source + date
If you catch yourself computing a value in Python and writing the result, stop.
Named ranges for cross-sheet references
Use named ranges for any figure referenced from another sheet, a deck, or a memo.
from openpyxl.workbook.defined_name import DefinedName
wb.defined_names["WACC"] = DefinedName("WACC", attr_text="Inputs!$C$8")
# then elsewhere:
calc["D30"] = "=D29/WACC"Balance checks tab
Include a Checks tab that ties everything and surfaces TRUE/FALSE:
- Balance sheet balances (assets = liabilities + equity)
- Cash flow ties to period-over-period cash change on the BS
- Sum-of-parts ties to consolidated totals
- No rogue hardcodes inside calc ranges
Example:
checks = wb.create_sheet("Checks")
checks["A2"] = "BS balances"
checks["B2"] = "=IS!D20-IS!D21-IS!D22"
checks["C2"] = "=ABS(B2)<0.01" # TRUE/FALSECell comments on every hardcoded input
Add the comment AS you create the cell, not later.
from openpyxl.comments import Comment
ws["C2"] = 1_250_000_000
ws["C2"].font = Font(color="0000FF")
ws["C2"].comment = Comment("Source: 10-K FY2024, p.47, revenue line", "analyst")Format: Source: [System/Document], [Date], [Reference], [URL if applicable].
Never defer sourcing. Never write TODO: add source.
Skeleton: typical financial model
from openpyxl import Workbook
from openpyxl.styles import Font, PatternFill, Alignment, Border, Side
from openpyxl.comments import Comment
from openpyxl.utils import get_column_letter
from pathlib import Path
BLUE = Font(color="0000FF")
BLACK = Font(color="000000")
GREEN = Font(color="006100")
BOLD = Font(bold=True)
HEADER_FILL = PatternFill("solid", fgColor="1F4E79")
HEADER_FONT = Font(color="FFFFFF", bold=True)
wb = Workbook()
# --- Inputs tab ---
inp = wb.active
inp.title = "Inputs"
inp["A1"] = "MARKET DATA & KEY INPUTS"
inp["A1"].font = HEADER_FONT
inp["A1"].fill = HEADER_FILL
inp.merge_cells("A1:C1")
inp["B3"] = "Revenue FY2024"
inp["C3"] = 1_250_000_000
inp["C3"].font = BLUE
inp["C3"].comment = Comment("Source: 10-K FY2024 p.47", "model")
inp["B4"] = "Growth Rate"
inp["C4"] = 0.12
inp["C4"].font = BLUE
# --- Calc tab ---
calc = wb.create_sheet("DCF")
calc["B2"] = "Projected Revenue"
calc["C2"] = "=Inputs!C3*(1+Inputs!C4)" # formula, black
# --- Checks tab ---
chk = wb.create_sheet("Checks")
chk["A2"] = "BS balances"
chk["B2"] = "=ABS(BS!D20-BS!D21-BS!D22)<0.01"
Path("./out").mkdir(exist_ok=True)
wb.save("./out/model.xlsx")Section headers with merged cells
openpyxl quirk: when you merge, set the value on the top-left cell and style the full range separately.
ws["A7"] = "CASH FLOW PROJECTION"
ws["A7"].font = HEADER_FONT
ws.merge_cells("A7:H7")
for col in range(1, 9): # A..H
ws.cell(row=7, column=col).fill = HEADER_FILLSensitivity tables
Build with loops, not hardcoded formulas per cell. Rules:
- Odd number of rows/cols (5×5 or 7×7) — guarantees a true center cell.
- Center cell = base case. The middle row/col header must equal the model's actual WACC and terminal g so the center output equals the base-case implied share price. That's the sanity check.
- Highlight the center cell with medium-blue fill (
"BDD7EE") and bold. - Populate every cell with a full recalculation formula — never an approximation.
# 5x5 WACC (rows) x terminal growth (cols) sensitivity
wacc_axis = [0.08, 0.085, 0.09, 0.095, 0.10] # center row = base 9.0%
term_axis = [0.02, 0.025, 0.03, 0.035, 0.04] # center col = base 3.0%
start_row = 40
ws.cell(row=start_row, column=1).value = "Implied Share Price ($)"
ws.cell(row=start_row, column=1).font = BOLD
for j, g in enumerate(term_axis):
ws.cell(row=start_row+1, column=2+j).value = g
ws.cell(row=start_row+1, column=2+j).font = BLUE
for i, w in enumerate(wacc_axis):
r = start_row + 2 + i
ws.cell(row=r, column=1).value = w
ws.cell(row=r, column=1).font = BLUE
for j, g in enumerate(term_axis):
c = 2 + j
# Full DCF recalc formula (simplified for illustration).
# In a real model this references the full projection block.
ws.cell(row=r, column=c).value = (
f"=SUMPRODUCT(FCF_range,1/(1+{w})^year_offset) + "
f"FCF_terminal*(1+{g})/({w}-{g})/(1+{w})^terminal_year"
)
# Highlight center cell (base case)
center = ws.cell(row=start_row+2+len(wacc_axis)//2,
column=2+len(term_axis)//2)
center.fill = PatternFill("solid", fgColor="BDD7EE")
center.font = BOLDRecalculating before delivery
openpyxl writes formula strings but does not compute them. Excel recalculates on open, but downstream consumers (auto-check scripts, CI) need computed values.
Run LibreOffice or a dedicated recalc step before delivery:
# LibreOffice headless recalc
libreoffice --headless --calc --convert-to xlsx ./out/model.xlsx --outdir ./out/Or use a Python recalc helper (see scripts/recalc.py in this skill).
Model layout planning
Before writing any formula:
1. Define ALL section row positions
2. Write ALL headers and labels
… (full content is in the download package)
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