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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.
231 stars
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/libreoffice-calc/SKILL.md --create-dirs "https://raw.githubusercontent.com/aiskillstore/marketplace/main/skills/dfk1352/libreoffice-calc/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/libreoffice-calc/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How libreoffice-calc Compares
| Feature / Agent | libreoffice-calc | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
```python
# 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`
```python
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
| 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 |
### 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:
```python
{
"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`
```python
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`
```python
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`
```python
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.
```ini
[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
```python
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
```python
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
```python
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()`.