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Libreoffice calc

Skill ComeOnOliver/skillshub/skills/aiskillstore/marketplace/dfk1352/libreoffice-calc

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.From its SKILL.md

Install
npx -y skills add ComeOnOliver/skillshub --skill libreoffice-calc

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SKILL.md

10.4 KB, ~2.6k tokens by cl100k_base, as published. Nobody here has run it

LibreOffice Calc

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.

API Surface

# 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

Structured Targets: CalcTarget

from 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,
)

Target kinds

KindSupported fieldsUse
cellsheet or sheet_index, row, colRead or write one cell
rangesheet or sheet_index, row, col, end_row, end_colRead, write, format, validate, or chart a rectangular range
sheetsheet or sheet_indexRename or delete one sheet
named_rangenameInspect or delete one named range
chartsheet or sheet_index, plus name or indexUpdate or delete one chart

Resolution rules

  • Coordinates are zero-based and must be non-negative.
  • sheet and sheet_index are mutually exclusive.
  • name and index are mutually exclusive.
  • Range targets must keep end_row >= row and end_col >= col.
  • Chart targets must identify one sheet plus one chart selector.
  • Calc does not auto-convert a one-cell range into a cell target; keep those shapes explicit.

Cell Read Results

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.

Formatting Payload: CellFormatting

from 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:

  • At least one formatting field must be set.
  • color accepts a named color or 0xRRGGBB integer.
  • format_range() works for both a cell target and a rectangular range target.

Validation Payload: ValidationRule

from 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:

  • any
  • whole
  • decimal
  • date
  • time
  • text_length
  • list

Supported condition values:

  • between
  • not_between
  • equal
  • not_equal
  • greater_than
  • less_than
  • greater_or_equal
  • less_or_equal

Chart Payload: ChartSpec

from 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).
  • Create charts by targeting a sheet; update or delete charts by targeting a chart.

Patch DSL

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

Supported operation types

  • write_cell
  • write_range
  • format_range
  • add_sheet
  • rename_sheet
  • delete_sheet
  • define_named_range
  • delete_named_range
  • set_validation
  • clear_validation
  • create_chart
  • update_chart
  • delete_chart
  • recalculate

Patch value rules

  • Use target.* fields for the primary target.
  • Use format.* fields for CellFormatting.
  • Use rule.* fields for ValidationRule.
  • Use chart.* fields for ChartSpec; chart source ranges use chart.data_range.*.
  • data must be valid JSON.
  • Heredoc blocks are supported with <<TAG ... TAG for multiline JSON or text.

Modes

  • atomic stops on first failure, resets the session, and persists nothing.
  • best_effort keeps successful earlier operations and records failures.

PatchApplyResult fields:

  • mode
  • overall_status = "ok" | "partial" | "failed"
  • operations = list of PatchOperationResult
  • document_persisted

For 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.

Example: Build a Spreadsheet in Session

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()

Example: Patch an Existing Spreadsheet

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)

Snapshots

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.

Common Mistakes

  • Passing a relative path; UNO-facing Calc APIs expect absolute file paths.
  • Mixing up cell and range targets; Calc keeps them distinct even for one-cell selections.
  • Using one-based coordinates; rows and columns are zero-based.
  • Assuming 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.
  • Forgetting chart.data_range.* fields when patching chart operations.
  • Expecting exact requested PNG dimensions from snapshot_area(); Calc export can differ by a small amount.
  • Calling session methods after session.close().

What ships with it

84.9 KB alongside SKILL.md, 11 of them executable

GitHub clipped this repository’s file list, so this is at least 13 files and may be more.

references/

scripts/

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