skill-spreadsheet
Spreadsheet to table conversion routing
Best use case
skill-spreadsheet is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Spreadsheet to table conversion routing
Teams using skill-spreadsheet should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/skill-spreadsheet/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How skill-spreadsheet Compares
| Feature / Agent | skill-spreadsheet | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Spreadsheet to table conversion routing
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
# Spreadsheet Skill
Thin wrapper that routes spreadsheet-to-table operations to the `spreadsheet-agent`.
## Context Pointers
Reference (do not load eagerly):
- Path: `.claude/context/formats/subagent-return.md`
- Purpose: Return validation
- Load at: Subagent execution only
Note: This skill is a thin wrapper. Context is loaded by the delegated agent, not this skill.
## Trigger Conditions
This skill activates when:
### Direct Invocation
- User explicitly runs `/table` command
- User requests spreadsheet to table conversion in conversation
### Implicit Invocation (during task implementation)
When an implementing agent encounters any of these patterns:
**Plan step language patterns**:
- "Convert spreadsheet to table"
- "Create LaTeX table from Excel"
- "Import data from XLSX"
- "Generate Typst table from CSV"
- "Extract table data from spreadsheet"
**File extension detection**:
- Source file has extension: `.xlsx`, `.xls`, `.csv`, `.ods`
- Target mentions: "LaTeX table", ".tex", "Typst table", ".typ"
**Task description keywords**:
- "spreadsheet conversion"
- "Excel to table"
- "data table"
- "tabular data"
### When NOT to trigger
Do not invoke for:
- Document conversions (use skill-filetypes)
- Presentation conversions (use skill-presentation)
- Reading spreadsheets without table generation
- Spreadsheets already in LaTeX/Typst format
---
## Execution
### 1. Input Validation
Validate required inputs:
- `source_path` - Must be provided and file must exist
- `output_path` - Optional, defaults to source dir with .tex extension
- `output_format` - Optional, defaults to "latex"
```bash
# Validate source exists
if [ ! -f "$source_path" ]; then
return error "Source file not found: $source_path"
fi
# Validate source is spreadsheet format
source_ext="${source_path##*.}"
case "$source_ext" in
xlsx|xls|csv|ods) ;; # Valid
*) return error "Not a spreadsheet format: .$source_ext" ;;
esac
# Determine output path if not provided
if [ -z "$output_path" ]; then
source_dir=$(dirname "$source_path")
source_base=$(basename "$source_path" | sed 's/\.[^.]*$//')
case "$output_format" in
latex|tex) output_path="${source_dir}/${source_base}.tex" ;;
typst|typ) output_path="${source_dir}/${source_base}.typ" ;;
*) output_path="${source_dir}/${source_base}.tex" ;;
esac
fi
```
### 2. Context Preparation
Prepare delegation context:
```json
{
"source_path": "/absolute/path/to/data.xlsx",
"output_path": "/absolute/path/to/data.tex",
"output_format": "latex",
"sheet_name": null,
"metadata": {
"session_id": "sess_{timestamp}_{random}",
"delegation_depth": 1,
"delegation_path": ["orchestrator", "table", "skill-spreadsheet"]
}
}
```
### 3. Invoke Agent
**CRITICAL**: You MUST use the **Task** tool to spawn the agent.
**Required Tool Invocation**:
```
Tool: Task (NOT Skill)
Parameters:
- subagent_type: "spreadsheet-agent"
- prompt: [Include source_path, output_path, output_format, sheet_name, metadata]
- description: "Convert {source_path} to {output_format} table"
```
The agent will:
- Detect available tools (pandas, openpyxl, xlsx2csv)
- Read spreadsheet data
- Generate formatted table output
- Return standardized JSON result
### 4. Return Validation
Validate return matches `subagent-return.md` schema:
- Status is one of: converted, partial, failed
- Summary is non-empty and <100 tokens
- Artifacts array present with output file path
- Metadata contains row/column counts
### 5. Return Propagation
Return validated result to caller without modification.
---
## Return Format
Expected successful return:
```json
{
"status": "converted",
"summary": "Successfully converted data.xlsx to LaTeX table using pandas",
"artifacts": [
{
"type": "implementation",
"path": "/absolute/path/to/data.tex",
"summary": "LaTeX table with 5 columns, 100 rows"
}
],
"metadata": {
"session_id": "sess_...",
"agent_type": "spreadsheet-agent",
"delegation_depth": 2,
"tool_used": "pandas+openpyxl",
"rows": 100,
"columns": 5
},
"next_steps": "Include table in document"
}
```
---
## Error Handling
### Input Validation Errors
Return immediately with failed status if source file not found or not a spreadsheet.
### Unsupported Format
Return failed status with clear message about supported formats.
### Agent Errors
Pass through the agent's error return verbatim.
### Tool Not Available
Return failed status with installation instructions.Related Skills
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