skills/dfk1352/libreoffice-calc/SKILL.md
Use when creating, editing, formatting, exporting, or extracting LibreOffice Calc (.ods) spreadsheets via UNO, including session-based cell and range edits, sheets, named ranges, validation, charts, patch workflows, and snapshots.
npx skillsauth add aiskillstore/marketplace libreoffice-calcInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Use the bundled calc modules for UNO-backed Calc spreadsheet work.
All paths must be absolute. Bundled modules live under scripts/ in this
skill directory, so set PYTHONPATH=<skill_base_dir>/scripts.
If setup or runtime issues appear, check references/troubleshooting.md.
# Non-session utilities
create_spreadsheet(path)
export_spreadsheet(path, output_path, format) # formats: "pdf", "xlsx", "csv"
snapshot_area(doc_path, output_path, sheet="Sheet1", row=0, col=0, width=None, height=None, dpi=150)
# Session (primary editing API)
open_calc_session(path) -> CalcSession
CalcSession methods:
read_cell(target: CalcTarget) -> dict[str, object]
write_cell(target: CalcTarget, value, value_type="auto")
read_range(target: CalcTarget) -> list[list[dict[str, object]]]
write_range(target: CalcTarget, data)
format_range(target: CalcTarget, formatting: CellFormatting)
list_sheets() -> list[dict[str, object]]
add_sheet(name, index=None)
rename_sheet(target: CalcTarget, new_name)
delete_sheet(target: CalcTarget)
define_named_range(name, target: CalcTarget)
get_named_range(target: CalcTarget) -> dict[str, object]
delete_named_range(target: CalcTarget)
set_validation(target: CalcTarget, rule: ValidationRule)
clear_validation(target: CalcTarget)
create_chart(target: CalcTarget, spec: ChartSpec)
update_chart(target: CalcTarget, spec: ChartSpec)
delete_chart(target: CalcTarget)
recalculate()
patch(patch_text, mode="atomic") -> PatchApplyResult
export(output_path, format)
reset()
close(save=True)
# Standalone patch utility
patch(path, patch_text, mode="atomic") -> PatchApplyResult
CalcTargetfrom calc import CalcTarget
CalcTarget(
kind="cell" | "range" | "sheet" | "named_range" | "chart",
sheet=None,
sheet_index=None,
row=None,
col=None,
end_row=None,
end_col=None,
name=None,
index=None,
)
| Kind | Supported fields | Use |
|---|---|---|
| cell | sheet or sheet_index, row, col | Read or write one cell |
| range | sheet or sheet_index, row, col, end_row, end_col | Read, write, format, validate, or chart a rectangular range |
| sheet | sheet or sheet_index | Rename or delete one sheet |
| named_range | name | Inspect or delete one named range |
| chart | sheet or sheet_index, plus name or index | Update or delete one chart |
sheet and sheet_index are mutually exclusive.name and index are mutually exclusive.end_row >= row and end_col >= col.read_cell() and read_range() return cell dictionaries with the same shape:
{
"value": 100.0,
"formula": None,
"error": None,
"type": "number",
"raw": 100.0,
}
Formula cells use type="formula"; when Calc reports a formula error, error
is populated and value becomes None.
CellFormattingfrom calc import CellFormatting
CellFormatting(
bold=None,
italic=None,
font_name=None,
font_size=None,
color=None, # named color or integer
number_format=None, # "currency" | "percentage" | "date" | "time"
)
Notes:
color accepts a named color or 0xRRGGBB integer.format_range() works for both a cell target and a rectangular range target.ValidationRulefrom calc import ValidationRule
ValidationRule(
type="whole",
condition="between",
value1=1,
value2=10,
show_error=True,
error_message="Enter a value from 1 to 10.",
show_input=True,
input_title="Allowed values",
input_message="Only integers from 1 to 10 are valid.",
ignore_blank=True,
error_style=0,
)
Supported type values:
anywholedecimaldatetimetext_lengthlistSupported condition values:
betweennot_betweenequalnot_equalgreater_thanless_thangreater_or_equalless_or_equalChartSpecfrom calc import CalcTarget, ChartSpec
ChartSpec(
chart_type="line",
data_range=CalcTarget(
kind="range",
sheet="Data",
row=0,
col=0,
end_row=5,
end_col=1,
),
anchor_row=7,
anchor_col=0,
width=10000,
height=7000,
title="Revenue Trend",
)
Notes:
chart_type must be one of bar, line, pie, or scatter.width and height use Calc chart rectangle units (the same units the packaged API already accepts).Use patch() or session.patch() to apply ordered spreadsheet operations.
[operation]
type = write_range
target.kind = range
target.sheet = Revenue Data
target.row = 0
target.col = 0
target.end_row = 2
target.end_col = 1
data <<JSON
[["Label", "Value"], ["Revenue", 100], ["Cost", 80]]
JSON
[operation]
type = format_range
target.kind = range
target.sheet = Revenue Data
target.row = 1
target.col = 1
target.end_row = 2
target.end_col = 1
format.number_format = currency
format.bold = true
[operation]
type = create_chart
target.kind = sheet
target.sheet = Revenue Data
chart.chart_type = line
chart.data_range.kind = range
chart.data_range.sheet = Revenue Data
chart.data_range.row = 0
chart.data_range.col = 0
chart.data_range.end_row = 2
chart.data_range.end_col = 1
chart.anchor_row = 5
chart.anchor_col = 0
chart.width = 9000
chart.height = 6000
chart.title = Revenue Trend
write_cellwrite_rangeformat_rangeadd_sheetrename_sheetdelete_sheetdefine_named_rangedelete_named_rangeset_validationclear_validationcreate_chartupdate_chartdelete_chartrecalculatetarget.* fields for the primary target.format.* fields for CellFormatting.rule.* fields for ValidationRule.chart.* fields for ChartSpec; chart source ranges use chart.data_range.*.data must be valid JSON.<<TAG ... TAG for multiline JSON or text.atomic stops on first failure, resets the session, and persists nothing.best_effort keeps successful earlier operations and records failures.PatchApplyResult fields:
modeoverall_status = "ok" | "partial" | "failed"operations = list of PatchOperationResultdocument_persistedFor standalone patch(path, ...), document_persisted means the changes were
saved to disk. For session.patch(...), it means the patch produced successful
mutations in the current open session state.
from pathlib import Path
from calc import (
CalcTarget,
CellFormatting,
ChartSpec,
ValidationRule,
open_calc_session,
)
from calc.core import create_spreadsheet
output = str(Path("test-output/revenue-report.ods").resolve())
create_spreadsheet(output)
with open_calc_session(output) as session:
session.rename_sheet(CalcTarget(kind="sheet", sheet="Sheet1"), "Revenue Data")
session.add_sheet("Summary")
session.write_range(
CalcTarget(kind="range", sheet="Revenue Data", row=0, col=0, end_row=2, end_col=1),
[["Label", "Value"], ["Revenue", 100], ["Cost", 80]],
)
session.format_range(
CalcTarget(kind="range", sheet="Revenue Data", row=1, col=1, end_row=2, end_col=1),
CellFormatting(number_format="currency", bold=True),
)
session.define_named_range(
"RevenueValues",
CalcTarget(kind="range", sheet="Revenue Data", row=1, col=1, end_row=2, end_col=1),
)
session.set_validation(
CalcTarget(kind="range", sheet="Revenue Data", row=1, col=1, end_row=2, end_col=1),
ValidationRule(type="whole", condition="greater_than", value1=0),
)
session.create_chart(
CalcTarget(kind="sheet", sheet="Revenue Data"),
ChartSpec(
chart_type="line",
data_range=CalcTarget(
kind="range",
sheet="Revenue Data",
row=0,
col=0,
end_row=2,
end_col=1,
),
anchor_row=5,
anchor_col=0,
width=9000,
height=6000,
title="Revenue Trend",
),
)
session.recalculate()
from calc import patch
result = patch(
"/abs/path/revenue-report.ods",
"""
[operation]
type = write_cell
target.kind = cell
target.sheet = Summary
target.row = 1
target.col = 1
value = Ready
value_type = text
[operation]
type = format_range
target.kind = cell
target.sheet = Summary
target.row = 1
target.col = 1
format.bold = true
[operation]
type = recalculate
""",
mode="best_effort",
)
print(result.overall_status)
from pathlib import Path
from calc import snapshot_area
result = snapshot_area(doc_path, "/tmp/revenue.png", sheet="Revenue Data", row=0, col=0, dpi=150)
print(result.file_path, result.width, result.height)
Path(result.file_path).unlink(missing_ok=True)
Use snapshots to verify chart placement, formatting, and sheet layout before delivery.
cell and range targets; Calc keeps them distinct even for one-cell selections.create_chart() picks a random later target name; when title is set, targeting the chart by that same name is the safest follow-up pattern.chart.data_range.* fields when patching chart operations.snapshot_area(); Calc export can differ by a small amount.session.close().development
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