sales-accounting

---
name: workspace-filesystem
description: The virtual filesystem layout of this workspace.
---

# Virtual Filesystem

You work in a terminal over a virtual filesystem. Read files with shell
commands; service operations are listed in SKILL.md.

| Path | Description |
|---|---|
| `/workspace` | Agent workspace; current directory and home (`~`). |
| `/tmp` | Temporary files. |
| `/dev` | Device files: `null` and `zero` (mounted automatically). |

---
name: workspace-commands
description: The shell commands, task tools, and python3 interpreter available in this workspace.
---

# Available commands

Standard Unix commands, among them:

    cat  head  tail  ls  find  grep  wc  sort  uniq  cut  tr  sed  awk
    diff  tee  xargs  jq  unzip  curl

with pipes, `>` redirection, `$(...)` substitution and `$'...'`.

The task CLIs below are registered with this shell rather than installed
as files; do not inspect them with `which`, `file` or `/usr/bin`.

## excel

Use `excel <command> '<JSON arguments>'`. Run `excel <command> --help` to
get more information.

| Command | Arguments | Description |
|---|---|---|
| `excel apply-formula` | `{filepath: str, sheet_name: str, cell: str, formula: str}` | Apply Excel formula to cell. Excel formula will write to cell with verification. |
| `excel validate-formula-syntax` | `{filepath: str, sheet_name: str, cell: str, formula: str}` | Validate Excel formula syntax without applying it. |
| `excel format-range` | `{filepath: str, sheet_name: str, start_cell: str, end_cell?: str = null, bold?: bool = false, italic?: bool = false, underline?: bool = false, font_size?: int = null, font_color?: str = null, bg_color?: str = null, border_style?: str = null, border_color?: str = null, number_format?: str = null, alignment?: str = null, wrap_text?: bool = false, merge_cells?: bool = false, protection?: dict = null, conditional_format?: dict = null}` | Apply formatting to a range of cells. |
| `excel read-data-from-excel` | `{filepath: str, sheet_name: str, start_cell?: str = "A1", end_cell?: str = null, preview_only?: bool = false}` | Read data from Excel worksheet with cell metadata including validation rules. Args: filepath: Path to Excel file sheet_name: Name of worksheet start_cell: Starting cell (default A1) end_cell: Ending cell (optional, auto-expands if not provided) preview_only: Whether to return preview only Returns: JSON string containing structured cell data with validation metadata. Each cell includes: address, value, row, column, and validation info (if any). |
| `excel write-data-to-excel` | `{filepath: str, sheet_name: str, data: list[list], start_cell?: str = "A1"}` | Write data to Excel worksheet. Excel formula will write to cell without any verification. PARAMETERS: filepath: Path to Excel file sheet_name: Name of worksheet to write to data: List of lists containing data to write to the worksheet, sublists are assumed to be rows start_cell: Cell to start writing to, default is "A1" |
| `excel create-workbook` | `{filepath: str}` | Create new Excel workbook. |
| `excel create-worksheet` | `{filepath: str, sheet_name: str}` | Create new worksheet in workbook. |
| `excel create-chart` | `{filepath: str, sheet_name: str, data_range: str, chart_type: str, target_cell: str, title?: str = "", x_axis?: str = "", y_axis?: str = ""}` | Create chart in worksheet. |
| `excel create-pivot-table` | `{filepath: str, sheet_name: str, data_range: str, rows: list[str], values: list[str], columns?: list[str] = null, agg_func?: str = "mean"}` | Create pivot table in worksheet. |
| `excel create-table` | `{filepath: str, sheet_name: str, data_range: str, table_name?: str = null, table_style?: str = "TableStyleMedium9"}` | Creates a native Excel table from a specified range of data. |
| `excel copy-worksheet` | `{filepath: str, source_sheet: str, target_sheet: str}` | Copy worksheet within workbook. |
| `excel delete-worksheet` | `{filepath: str, sheet_name: str}` | Delete worksheet from workbook. |
| `excel rename-worksheet` | `{filepath: str, old_name: str, new_name: str}` | Rename worksheet in workbook. |
| `excel get-workbook-metadata` | `{filepath: str, include_ranges?: bool = false}` | Get metadata about workbook including sheets, ranges, etc. |
| `excel merge-cells` | `{filepath: str, sheet_name: str, start_cell: str, end_cell: str}` | Merge a range of cells. |
| `excel unmerge-cells` | `{filepath: str, sheet_name: str, start_cell: str, end_cell: str}` | Unmerge a range of cells. |
| `excel copy-range` | `{filepath: str, sheet_name: str, source_start: str, source_end: str, target_start: str, target_sheet?: str = null}` | Copy a range of cells to another location. |
| `excel delete-range` | `{filepath: str, sheet_name: str, start_cell: str, end_cell: str, shift_direction?: str = "up"}` | Delete a range of cells and shift remaining cells. |
| `excel validate-excel-range` | `{filepath: str, sheet_name: str, start_cell: str, end_cell?: str = null}` | Validate if a range exists and is properly formatted. |
| `excel get-data-validation-info` | `{filepath: str, sheet_name: str}` | Get all data validation rules in a worksheet. This tool helps identify which cell ranges have validation rules and what types of validation are applied. Args: filepath: Path to Excel file sheet_name: Name of worksheet Returns: JSON string containing all validation rules in the worksheet |

## memory

Use `memory <command> '<JSON arguments>'`. Run `memory <command> --help` to
get more information.

| Command | Arguments | Description |
|---|---|---|
| `memory create-entities` | `{entities: list[{name: str, entityType: str, observations: list[str]}]}` | Create multiple new entities in the knowledge graph — `entities.name`: The name of the entity; `entities.entityType`: The type of the entity; `entities.observations`: An array of observation contents associated with the entity |
| `memory create-relations` | `{relations: list[{from: str, to: str, relationType: str}]}` | Create multiple new relations between entities in the knowledge graph. Relations should be in active voice — `relations.from`: The name of the entity where the relation starts; `relations.to`: The name of the entity where the relation ends; `relations.relationType`: The type of the relation |
| `memory add-observations` | `{observations: list[{entityName: str, contents: list[str]}]}` | Add new observations to existing entities in the knowledge graph — `observations.entityName`: The name of the entity to add the observations to; `observations.contents`: An array of observation contents to add |
| `memory delete-entities` | `{entityNames: list[str]}` | Delete multiple entities and their associated relations from the knowledge graph — `entityNames`: An array of entity names to delete |
| `memory delete-observations` | `{deletions: list[{entityName: str, observations: list[str]}]}` | Delete specific observations from entities in the knowledge graph — `deletions.entityName`: The name of the entity containing the observations; `deletions.observations`: An array of observations to delete |
| `memory delete-relations` | `{relations: list[{from: str, to: str, relationType: str}]}` | Delete multiple relations from the knowledge graph — `relations`: An array of relations to delete; `relations.from`: The name of the entity where the relation starts; `relations.to`: The name of the entity where the relation ends; `relations.relationType`: The type of the relation |
| `memory read-graph` | `{}` | Read the entire knowledge graph |
| `memory search-nodes` | `{query: str}` | Search for nodes in the knowledge graph based on a query — `query`: The search query to match against entity names, types, and observation content |
| `memory open-nodes` | `{names: list[str]}` | Open specific nodes in the knowledge graph by their names — `names`: An array of entity names to retrieve |

## python3

Execute Python code directly under the agent workspace and return stdout
and stderr. Code can be pasted into a `.py` file and run with `python3`.

Python cannot launch subprocesses or make direct network requests. Run the
documented service commands directly in the shell. Use Python for local
file processing and generating JSON arguments.

cat  head  tail  ls  find  grep  wc  sort  uniq  cut  tr  sed  awk
diff  tee  xargs  jq  unzip  curl