Answer a question about a workbook

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

Time

14s

New tokens

12.0k

Total input

85.6k

Output tokens

0.4k

Commands

5

Failed

0

Trace

1. I’ll inspect the workbook’s sheet names and write them to `sheets.txt` in the current directory.

2. cat .agents/skills/deft/SKILL.md && rg --files -g 'issues.xlsx' -g 'sheets.txt'
   output

   ---
   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, 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, downlo
   … 861 more characters

3. deft find "list Excel workbook sheet names"
   output

   sheet split         sheet -> sheet...   Split up: --sheets, --columns city or --every 1000
   pdf extract-sheets  pdf -> csv|xlsx...  Save each table apart
   pdf to-sheet        pdf -> sheet        All text as one table
   sheet info          sheet -> report     Sheet names, rows, columns
   sheet sort          sheet -> sheet      Sort rows: --columns age,name --descending

4. deft sheet info --help
   output

   deft sheet info - Sheet names, rows, columns
   
   Usage: deft sheet info <sheet>... [options]
   In: sheet (each handled separately)   Out: printed result
   Common: -o --force --dry-run --json -j   (deft help common)
   
   Examples:
     deft sheet info people.xlsx
   
   Result fields: sheets

5. deft sheet info issues.xlsx --json
   output

   {"v":1,"ok":true,"op":"sheet.info","items":[{"ok":true,"inputs":["issues.xlsx"],"outputs":[],"facts":{"sheets":[{"name":"datatypes","rows":6,"columns":1},{"name":"Sheet1","rows":1,"columns":1},{"name":"issue2","rows":3,"columns":2},{"name":"issue5","rows":1,"columns":1},{"name":"issue6","rows":4,"columns":1},{"name":"spc_chrs","rows":8,"columns":1}]},"warnings":[]}],"elapsed_ms":1}

6. python3 -c 'from pathlib import Path; Path(\"sheets.txt\").write_text(\"datatypes\\nSheet1\\nissue2\\nissue5\\nissue6\\nspc_chrs\\n\")' && cat sheets.txt
   output

   datatypes
   Sheet1
   issue2
   issue5
   issue6
   spc_chrs

7. Created [sheets.txt](sheets.txt) with the six sheet names, one per line.

Output

datatypes
Sheet1
issue2
issue5
issue6
spc_chrs

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

Time

16s

New tokens

10.6k

Total input

76.7k

Output tokens

0.4k

Commands

4

Failed

0

Trace

1. I’ll inspect the workbook’s sheet names and write them to `sheets.txt` in the current directory.

2. 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

3. deft sheet info issues.xlsx --help
   output

   deft sheet info - Sheet names, rows, columns
   
   Usage: deft sheet info <sheet>... [options]
   In: sheet (each handled separately)   Out: printed result
   Common: -o --force --dry-run --json -j   (deft help common)
   
   Examples:
     deft sheet info people.xlsx
   
   Result fields: sheets

4. deft sheet info issues.xlsx --json
   output

   {"elapsed_ms":3,"items":[{"facts":{"sheets":[{"columns":1,"name":"datatypes","rows":6},{"columns":1,"name":"Sheet1","rows":1},{"columns":2,"name":"issue2","rows":3},{"columns":1,"name":"issue5","rows":1},{"columns":1,"name":"issue6","rows":4},{"columns":1,"name":"spc_chrs","rows":8}]},"inputs":["issues.xlsx"],"ok":true,"outputs":[],"warnings":[]}],"ok":true,"op":"sheet.info","v":1}

5. cat > sheets.txt <<'EOF' datatypes Sheet1 issue2 issue5 issue6 spc_chrs EOF

6. Created [sheets.txt](sheets.txt) with the six sheet names, one per line.

Output

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

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

Time

13s

New tokens

10.2k

Total input

75.2k

Output tokens

0.5k

Commands

0

Failed

0

Trace

Output

---
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

datatypes
Sheet1
issue2
issue5
issue6
spc_chrs