xlsx
Skill13 starsChanged 3 months agoApache-2.0View on GitHub
Create, inspect, edit, restructure, convert, and validate XLSX workbooks and CSV files using Qubicl's pinned local spreadsheet tools. Use for formulas, tables, charts, formatting, workbook structure, and CSV interoperability.
194 other projects use a version of this.
Adopted by
Most recently taken up by
- aditya-vermax/skillstheir own version, first seen Nov 8, 2026
- CloudChef/atlasclaw-providerstheir own version, first seen Nov 8, 2026
- holon-run/holontheir own version, first seen Nov 8, 2026
- rvdbreemen/OTGW-firmwaretheir own version, first seen Nov 8, 2026
- BrightGold70/skillstheir own version, first seen Nov 8, 2026
- Liang-MH/skillstheir own version, first seen Nov 8, 2026
Used with
Projects with it also use Video Generation, VLM and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
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huang-x-hSkillVLM
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dav-niu474Skillgift-evaluator
The PRIMARY tool for Spring Festival gift analysis and social interaction generation. Use this skill when users upload photos of gifts (alcohol, tea, supplements, etc.) to inquire about their value, authenticity, or how to respond socially. Integrates visual perception, market valuation, and HTML card generation.
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dav-niu474SkillPodcast Generate
Generate podcast episodes from user-provided content or by searching the web for specified topics. If user uploads a text file/article, creates a dual-host dialogue podcast (or single-host upon request). If no content is provided, searches the web for information about the user-specified topic and generates a podcast. Duration scales with content size (3-20 minutes, ~240 chars/min). Uses z-ai-web-dev-sdk for LLM script generation and TTS audio synthesis. Outputs both a podcast script (Markdown) and a complete audio file (WAV).
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Liang-MHSkillstock_analysis
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SeifBenayedSkillfile-reading
Use this skill when a file has been uploaded but its content is NOT in your context — only its path at /mnt/user-data/uploads/ is listed in an uploaded_files block. This skill is a router: it tells you which tool to use for each file type (pdf, docx, xlsx, csv, json, images, archives, ebooks) so you read the right amount the right way instead of blindly running cat on a binary. Triggers: any mention of /mnt/user-data/uploads/, an uploaded_files section, a file_path tag, or a user asking about an uploaded file you have not yet read. Do NOT use this skill if the file content is already visible in your context inside a documents block — you already have it.
Also in 5 projects that use this
- +1 more from huang-x-h
- +5 more from dav-niu474
Other versions194 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 194
- anthropics/skills★ 189ksame name
- spinabot/brigade★ 11ksame name
- netease-youdao/LobsterAI★ 6.2ksame name
- nextlevelbuilder/goclaw★ 3.7ksame name
- jjyaoao/HelloAgents★ 3.2ksame name
- anthropics/claude-agent-sdk-demos★ 2.8ksame name
- K-Dense-AI/claude-scientific-writer★ 2.6ksame name
- OpenCoworkAI/open-cowork★ 2.2ksame name
- wanxingai/LightAgent★ 1.2ksame name
- ChenglinPoly/infiAgent★ 1.2ksame name
184 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 188 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 8
Keep workbook artifacts under /home/qubicl.
- Very specific: line 20
Read references/restructuring.md before inserting or deleting rows or columns in a formula-heavy workbook.
- Very specific: line 45
Use the common rendering receipt for PDF, DOCX, XLSX and PPTX: /opt/qubicl/skills-venv/bin/python /opt/qubicl/artifact-render.py FILE …
“Common” is measured: kept by at least 6 in 10 of the 188 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Spreadsheet workflows
Keep workbook artifacts under /home/qubicl. Obtain this skill's resourceRoot from skill_view and run its helpers with /opt/qubicl/skills-venv/bin/python. The computer and workstation presets contain the pinned spreadsheet libraries; do not install packages during a task.
Useful helpers beneath <resourceRoot>/scripts/:
xlsx_read.py FILE --sheets|--json|--cells|--csv|--formulas|--notes|--namesxlsx_create.py SPEC.json OUTPUT.xlsxxlsx_edit.py FILEfor values, rows, sheets, tables, names, links, notes, and protectionxlsx_restructure.py FILEfor reference-aware row or column changescsv_to_xlsx.py INPUT.csv OUTPUT.xlsxxlsx_to_csv.py INPUT.xlsx OUTPUT.csvxlsx_recalc.py FILEwhen LibreOffice is available
Read references/restructuring.md before inserting or deleting rows or columns in a formula-heavy workbook.
Inspect workbook structure and formulas before editing. Preserve formulas unless replacement is intentional, use a new output for risky transformations, and read the result back afterward. LibreOffice recalculation is available only on workstation computers; explain that limitation rather than manufacturing cached formula values.
xlsx_read.py --formulas includes normal, array and what-if data-table formulas.
Typed entries include formula_type and their result ref; array entries include
the expression in formula, while data-table entries include all input references
and flags in attributes. JSON/CSV sheet dumps represent typed formulas as JSON
objects rather than Python object names; standalone xlsx_to_csv.py uses the
same typed-formula and duration serialization. Elapsed-time values such as [h]:mm
use signed ISO 8601 durations (P1DT3H15M for 27 hours 15 minutes), preserving
days and fractional seconds. Dates and times retain their ISO date/time format.
For a typed client-facing read, use --cells (active sheet by default, or
--sheet NAME). Each stored cell includes its coordinate, normalized value,
type, original OOXML rawValue/storageType, numberFormat, and formula metadata
with its result range. rawValue is storage data, including shared-string indexes,
not display text. Both --cells and --formulas explicitly report
cachedValueAvailable, cacheStatus and per-cell missing-cache warnings; a
present empty-string, zero or error result remains distinct from a missing cache.
The reader never recalculates or invents display values. Use the existing render
workflow on a copy when appearance matters; recalculated render results do not
establish that the original file contained those caches. Literal strings starting
with = remain text and are not listed as formulas.
Use the common rendering receipt for PDF, DOCX, XLSX and PPTX:
/opt/qubicl/skills-venv/bin/python /opt/qubicl/artifact-render.py FILE --outdir DIR.
Each invocation captures its source, uses an isolated Office profile, and writes a unique
run directory with PDF, exact numbered PNGs and manifest.json. Read sourceSha256,
pages, warnings and validation, then inspect the generated pages. Old previews
are never returned as this run's outputs. visuallyInspected: false is intentional:
the tool renders; the agent performs visual review. Office rendering needs workstation.
Rendering and xlsx_recalc.py report formula errors, missing cached results and changed
OOXML package parts. recalculated: true does not mean error-free, correct formulas,
or perfect Excel fidelity. Preserve the source and review formulas, formats, charts,
print areas and the rendered pages before delivering converted workbooks.
CSV imports preserve leading-zero/long identifiers and mixed-type columns; strings beginning with = stay literal by default, including headers. Default UTF-8 decoding accepts an initial BOM and preserves noninitial U+FEFF characters. Use --column-types '{"A":"text","B":"number"}' for deliberate types or --allow-formulas only when formulas are intended. Explicit typed empty cells become blanks; --empty-cells reject requires nonempty typed values. Numeric overflow/nonfinite values and invalid typed conversions fail with CSV row, column and cell context before saving. Imports preflight Excel's 1,048,576-row, 16,384-column, 32,767-character cell and 8,192-character formula limits; oversized input fails instead of silently truncating. The saved archive is reopened to verify dimensions and text/formulas before atomically replacing the destination, so a failed conversion preserves an existing output. Review the conversion report. xlsx_to_csv.py --data-only refuses missing formula caches before writing; --allow-missing-results explicitly permits them and reports affected cells. Restructuring supports native table column insertion/deletion, unique generated headers, calculated/totals formulas, filter criteria and sort ranges. It updates structured references throughout the workbook; deleted columns/tables become #REF!, while partially deleted column ranges retain surviving endpoints. Inserted table rows receive calculated-column formulas, and removing a header preserves the surviving data as a headerless table. Read the JSON transformation report and inspect the saved workbook.
xlsx_edit.py --rename-sheet OLD:NEW updates worksheet references in cells,
workbook/local names, tables, charts, validation/formatting rules and internal
hyperlinks, including Hyperlink.location and local #Sheet!Cell targets with
quoted/apostrophe-containing names. External workbook/URL links and formula
string literals (including literal HYPERLINK arguments) are preserved.
Its row/column operations use the same reference-aware engine as
xlsx_restructure.py. --table-append NAME=ROWJSON inserts space before the next
row (or the totals row), preserving other content and formulas below the table.
Appended data inherits column formatting and calculated formulas; supplied values
replace only their corresponding columns. Totals, filters and chart series spanning the table data
expand with the table. Fixed named ranges and row-local calculations retain
their intended scope; structured table references include the new data. Use --out to retain the
original while reviewing a structural edit.
xlsx_edit.py --copy-sheet SRC:NEW copies cells, rich-text runs and typed
formulas, native charts and images, tables and pivot tables, validation and
conditional formatting, filters,
worksheet views, protection, print settings, headers/footers and sheet-local
names. Copies have independent objects and image data. Tables receive unique
names such as Sales_Copy (with a numeric suffix when needed), and copied
formulas/chart sources refer to the copied sheet and tables. Workbook-global
names, other-sheet references, external workbook links, 3D sheet intervals and
formula string literals retain their original meaning. Chart caches are retained
because copying does not change the source values. Existing sheet names are
rejected instead of silently choosing a different destination. Inspect table
names and saved chart references before making subsequent edits.
Copied pivots receive unique names. Pivots reading the copied sheet or its tables
receive independent cache definitions and records with new cache IDs and remapped
sources. Pivots reading unchanged external data, other worksheets or global names
retain their existing shared cache identity. Both xlsx_edit.py and
xlsx_restructure.py preserve mixed-run cell formatting when loading and saving.
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