Export one sheet

Export the sheet named issue2 from issues.xlsx to issue2.csv.

The task

The reference answer shows the job can be done with deft. It is not an agent run.

deft sheet convert issues.xlsx --sheet issue2 -o issue2.csv

Input

issues.xlsx 13.3 KB

Rendered by macOS Quick Look, first page

Reference output

issue2.csv 12 B

1	a
2	b
3	c

How a result is judged (1 check)

csv: file = "issue2.csv", rows = 3, columns = 2

Runs

CodexWithout deftPassed2026-11-07

Time: 32s
New tokens: 7.0k
Total input: 84.2k
Output tokens: 1.3k
Commands: 5
Failed: 1

Trace

I’ll inspect the workbook’s sheet names and export `issue2` to a CSV in the current directory.

python3 -c \"import openpyxl; print('openpyxl available')\" (exit 1)

output

Traceback (most recent call last):
  File "<string>", line 1, in <module>
ModuleNotFoundError: No module named 'openpyxl'

rg --files -g 'issues.xlsx' -g '*.xlsx' -g '*.csv' .
output
```
./issues.xlsx
```

which libreoffice || which soffice || which python3

output

libreoffice not found
soffice not found
/usr/local/bin/python3

python3 - <<'PY'
import zipfile
p='issues.xlsx'
with zipfile.ZipFile(p) as z:
 print(z.namelist())
 print(z.read('xl/workbook.xml').decode()[:3000])
 print(z.read('xl/_rels/workbook.xml.rels').decode()[:3000])
PY

output

['[Content_Types].xml', '_rels/.rels', 'xl/_rels/workbook.xml.rels', 'xl/workbook.xml', 'xl/worksheets/sheet4.xml', 'xl/worksheets/_rels/sheet4.xml.rels', 'xl/worksheets/sheet2.xml', 'xl/worksheets/sheet3.xml', 'xl/sharedStrings.xml', 'xl/worksheets/sheet1.xml', 'xl/worksheets/sheet5.xml', 'xl/worksheets/sheet6.xml', 'xl/styles.xml', 'xl/theme/theme1.xml', 'xl/printerSettings/printerSettings1.bin', 'docProps/app.xml', 'xl/calcChain.xml', 'docProps/core.xml']
<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
<workbook xmlns="http://schemas.openxmlformats.org/spreadsheetml/2006/main" xmlns:r="http://schemas.openxmlformats.org/officeDocument/2006/relationships" xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006" mc:Ignorable="x15" xmlns:x15="http://schemas.microsoft.com/office/spreadsheetml/2010/11/main"><fileVersion appName="xl" lastEdited="7" lowestEdited="4" rupBuild="17329"/><workbookPr defaultThemeVersion="124226"/><mc:AlternateContent xmlns:mc="http://schemas.openxmlformats.org/markup-compatibility/2006"><mc:Choice Requires="x15"><x15ac:absPath url="C:\Users\jtuffe010814\Documents\" xmlns:x15ac="http://schemas.microsoft.com/office/spreadsheetml/2010/11/ac"/></mc:Choice></mc:AlternateContent><bookViews><workbookView xWindow="0" yWindow="45" windowWidth="19155" windowHeight="11820" activeTab="1"/></bookViews><sheets><sheet name="datatypes" sheetId="4" r:id="rId1"/><sheet name="Sheet1" sheetId="6" r:id="rId2"/><sheet name="issue2" sheetId="1" r:id="r
… 1937 more characters

python3 - <<'PY' import zipfile, xml.etree.ElementTree as ET, re, csv from pathlib import Path src=Path('issues.xlsx') ns={'m':'http://schemas.openxmlformats.org/spreadsheetml/2006/main','r':'http://schemas.openxmlformats.org/officeDocument/2006/relationships','p':'http://schemas.openxmlformats.org/package/2006/relationships'} with zipfile.ZipFile(src) as z: wb=ET.fromstring(z.read('xl/workbook.xml')) rel=ET.fromstring(z.read('xl/_rels/workbook.xml.rels')) targets={x.attrib['Id']:x.attrib['Target'] for x in rel} sheet=next(x for x in wb.find('m:sheets',ns) if x.attrib['name']=='issue2') target=targets[sheet.attrib['{'+ns['r']+'}id']] path=target.lstrip('/') if target.startswith('/') else 'xl/'+target root=ET.fromstring(z.read(path)) strings=[] if 'xl/sharedStrings.xml' in z.namelist(): ss=ET.fromstring(z.read('xl/sharedStrings.xml')) strings=[''.join(t.text or '' for t in si.findall('.//m:t',ns)) for si in ss.findall('m:si',ns)] cells={} maxrow=maxcol=0 def colnum(ref): n=0 for ch in re.match(r'[A-Z]+',ref).group(): n=n*26+ord(ch)-64 return n for c in root.findall('.//m:sheetData/m:row/m:c',ns): ref=c.attrib['r']; row=int(re.search(r'\\d+',ref).group()); col=colnum(ref) v=c.find('m:v',ns); typ=c.attrib.get('t') if typ=='inlineStr': value=''.join(t.text or '' for t in c.findall('.//m:t',ns)) elif v is None: value='' elif typ=='s': value=strings[int(v.text)] elif typ=='b': value='TRUE' if v.text=='1' else 'FALSE' else: value=v.text or '' cells[row,col]=value; maxrow=max(maxrow,row); maxcol=max(maxcol,col) with open('issue2.csv','w',newline='',encoding='utf-8-sig') as f: w=csv.writer(f,lineterminator='\\ … 176 more characters
output
```
Exported issue2: 3 rows x 2 columns to issue2.csv
```
Exported the `issue2` sheet to [issue2.csv](issue2.csv) (3 rows × 2 columns).

Output

issue2.csv 18 B

1	a
2	b
3	c

CodexWith deft, skill installedPassedRead the skillUsed deft2026-11-07

Time: 14s
New tokens: 8.7k
Total input: 71.6k
Output tokens: 0.4k
Commands: 4
Failed: 0

Trace

I’ll export the `issue2` sheet to `issue2.csv` in the current directory.

cat .agents/skills/deft/SKILL.md

output

---
name: deft
description: "Use deft instead of writing a script for file jobs: PDF merge/split/compress/watermark, image resize/convert/compress, video and audio trim/convert/compress, spreadsheets, Markdown to PDF/HTML, and YouTube downloads and subtitles."
---

# deft

One local command for file jobs. Prefer it over writing Python or shell scripts.

Syntax: `deft <group> <command> [inputs] [-o output] [--options]`

Groups:
- `pdf`: Merge, split, compress, encrypt, forms, OCR, compare, convert
- `image`: Resize, crop, convert, compress, filters, montage, OCR
- `video`: Trim, crop, speed, convert, compress, GIF, frames (ffmpeg)
- `audio`: Convert, trim, merge, fade, speed, tag, normalize (ffmpeg)
- `doc`: Word/ODT/RTF: to text, Markdown, HTML, PDF; find and replace
- `slides`: PowerPoint: extract text, Markdown outline, PDF handout
- `data`: JSON/YAML/TOML/XML: convert, query with jq syntax, merge, diff
- `sheet`: Excel/CSV/ODS tables: filter, sort, join, pivot, convert
- `md`: Markdown to PDF, HTML, Word, EPUB; table of contents
- `html`: HTML to Markdown, text, Word, PDF; screenshots
- `epub`: E-books: info, to text, Markdown and PDF
- `email`: EML files: headers, text, attachments
- `contact`: VCF address books: to and from CSV
- `calendar`: ICS calendars: to and from CSV
- `gps`: GPX and KML tracks: convert, distance and time
- `youtube`: Info, download, audio, subtitles, thumbnail (yt-dlp)
- `file`: Any file: hash, duplicates, batch rename, base64, encoding
- `qr`: Cre
… 728 more characters

deft sheet

output

deft sheet - commands (input -> output)
  info       sheet -> report           Sheet names, rows, columns
  convert    sheet -> sheet            Change format: --to csv|xlsx|json
  dedupe     sheet -> sheet            Drop repeated rows, by whole row or --columns
  extract    sheet -> sheet            Take a sheet or range: --sheet, --range A1:D20
  filter     sheet -> sheet            Keep matching rows: --where "age > 30 and city = 'Oslo'"
  from-pdf   pdf -> sheet              All text as one table [beta]
  group      sheet -> sheet            Group and total: --columns city --values sales --agg sum
  join       sheet... -> sheet         Join two tables on a key: --on id --how left
  merge      sheet... -> sheet         Stack tables; a shared header is kept once
  pivot      sheet -> sheet            Pivot table: --rows city --columns year --values sales
  query      sheet|sqlite... -> sheet  Run SQL over tables or a SQLite file: --sql 'select ...'
  select     sheet -> sheet            Keep, reorder or --drop columns
  sort       sheet -> sheet            Sort rows: --columns age,name --descending
  split      sheet -> sheet...         Split up: --sheets, --columns city or --every 1000
  stats      sheet -> report           Per-column counts, empties, min, max, mean, sum
  to-md      sheet -> md               Markdown table (first row is the header)
  transpose  sheet -> sheet            Swap rows and columns
More: deft sheet <command> --help

deft sheet extract --help

output

deft sheet extract - Take a sheet or range: --sheet, --range A1:D20

Usage: deft sheet extract <sheet>... [-o <sheet|dir>] [options]
In: sheet (each handled separately)   Out: sheet (default <name>.extract.<ext>)

Options:
  --sheet <text>               Sheet name or number (default: first)
  --range <text>               Cell range, e.g. B2:D10
  --to <csv|xlsx|json>         Output format (default csv)
Common: -o --force --dry-run --json -j   (deft help common)

Examples:
  deft sheet extract people.xlsx --range A1:B2 -o part.csv
  deft sheet extract people.csv --range A1:A3 --to json -o names.json

Result fields: rows, columns

deft sheet extract issues.xlsx --sheet issue2 --to csv -o issue2.csv
output
```
ok sheet.extract issues.xlsx -> issue2.csv  3 rows x 2 columns  0.00s
```
Exported the `issue2` sheet from `issues.xlsx` to [issue2.csv](issue2.csv). It contains 3 rows and 2 columns.

Output

issue2.csv 12 B

1	a
2	b
3	c

CodexWith deft, skill as AGENTS.mdPassed2026-11-05

Time: 11s
New tokens: 5.2k
Total input: 60.8k
Output tokens: 0.2k
Commands: 3
Failed: 0

Trace

I’ll check the workbook and use the local `deft` sheet export command in the current directory.

deft sheet --help

output

deft sheet - commands (input -> output)
  info     sheet -> report    Sheet names, rows, columns
  convert  sheet -> sheet     Change format: --to csv|xlsx|json
  extract  sheet -> sheet     Take a sheet or range: --sheet, --range A1:D20
  merge    sheet... -> sheet  Stack tables; a shared header is kept once
  to-md    sheet -> md        Markdown table (first row is the header)
More: deft sheet <command> --help

deft sheet extract --help

output

deft sheet extract - Take a sheet or range: --sheet, --range A1:D20

Usage: deft sheet extract <sheet>... [-o <sheet|dir>] [options]
In: sheet (each handled separately)   Out: sheet (default <name>.extract.<ext>)

Options:
  --sheet <text>               Sheet name or number (default: first)
  --range <text>               Cell range, e.g. B2:D10
  --to <csv|xlsx|json>         Output format (default csv)
Common: -o --force --dry-run --json -j   (deft help common)

Examples:
  deft sheet extract people.xlsx --range A1:B2 -o part.csv
  deft sheet extract people.csv --range A1:A3 --to json -o names.json

Result fields: rows, columns

deft sheet extract issues.xlsx --sheet issue2 --to csv -o issue2.csv
output
```
ok sheet.extract issues.xlsx -> issue2.csv  3 rows x 2 columns  0.00s
```
Exported the `issue2` sheet from `issues.xlsx` to [issue2.csv](issue2.csv). It contains 3 rows and 2 columns.

Output

Its files were not kept in this run. The last line of the trace is its own report.

Claude Opus 5.5Without deftPassed2026-11-07

Time: 10s
New tokens: 10.3k
Total input: 44.9k
Output tokens: 0.6k
Commands: 0
Failed: 0

Trace

Output

issue2.csv 15 B

1	a
2	b
3	c

Claude Opus 5.5With deft, skill installedPassedRead the skillUsed deft2026-11-07

Time: 8s
New tokens: 9.8k
Total input: 59.3k
Output tokens: 0.4k
Commands: 0
Failed: 0

Trace

Output

.claude/skills/deft/SKILL.md 2.1 KB

---
name: deft
description: "Use deft first for any simple, direct operation on local files, whatever the type: convert, read, extract, edit, compress, merge, split, compare or inspect. Try it before writing a script or one-liner. If unsure, run deft find; if it says no command does this, use another tool. Not for programming work: to read, write or change source code, skip it."
---

# deft

One local command for file jobs. Prefer it over writing Python or shell scripts.

Syntax: `deft <group> <command> [inputs] [-o output] [--options]`

Groups:
- `pdf`: Merge, split, compress, encrypt, forms, OCR, compare, convert
- `image`: Resize, crop, convert, compress, adjust, montage, OCR
- `video`: Trim, merge, convert, compress, subtitles, GIF, frames (ffmpeg)
- `audio`: Convert, trim, normalize, denoise, cut silence (ffmpeg)
- `doc`: Word/ODT/RTF: to text, Markdown, HTML, PDF; find and replace
- `slides`: PowerPoint: extract text, Markdown outline
- `sheet`: Excel/CSV/ODS tables: SQL query, pivot, merge, split, convert
- `json`: JSON: convert, format, merge, diff, validate
- `toml`: TOML: convert, format, merge, diff, validate
- `xml`: XML: convert, format, merge, diff, validate
- `yaml`: YAML: convert, format, merge, diff, validate
- `md`: Markdown to PDF, HTML, Word, EPUB; table of contents
- `html`: HTML to Markdown, text, Word and PDF
- `epub`: E-books: info, to text, Markdown and PDF
- `gps`: GPX and KML tracks: convert, distance and time
- `qr`: Create QR codes and barcodes; read QR codes

How to use it:
1. Run `deft <group>` to list commands, or `deft find "<what you want>"` to search. If it says `no command does this`, use another tool.
2. Run `deft <group> <command> --help` for options and examples.
3. `deft convert <in> -o <out.ext>` converts between formats by extension.
4. Results are one line starting with `ok`, `partial` or `error`; add `--json` to parse them. Errors include a `hint:` with the fix.

Inputs are never overwritten; pass `--force` or `--in-place` to allow it. Globs and directories work as inputs; several inputs run in parallel.

If `deft` is not installed, ask the user, then follow https://github.com/firstprayer/deft/blob/main/docs/INSTALL.md

issue2.csv 12 B

1	a
2	b
3	c

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Claude CodeWith deftNot run yet