XLSX Skill (Universal, CJK-aware)

Handle the request directly. Do NOT spawn sub-agents. Always write the output file the user requests, then verify it before delivering.

This is a vendor-neutral, general-purpose spreadsheet skill. It is not limited to finance and is explicitly built to work well in Chinese-language contexts: Chinese sheet names, headers and data; mixed CJK + ASCII; encodings beyond UTF-8 (GB18030/GBK) for CSV; full-width punctuation; CJK fonts during rendering; and Chinese number/date conventions. Finance-specific conventions are optional and isolated in their own section.

0. Quick Start (read this first)

The golden loop for every task: READ → ACT → VERIFY. Never skip READ, never skip VERIFY.

# 0) One-time environment self-check (python, openpyxl, libreoffice, poppler, AND CJK fonts)
python3 SKILL_DIR/scripts/doctor.py

# 1) READ — always inspect structure before touching anything
python3 SKILL_DIR/scripts/xlsx_reader.py input.xlsx            # sheets, dims, named ranges, macros, pivots, charts

# 2) ACT — pick ONE path (see Decision Guide below)
#    - read-only analysis          -> pandas
#    - create new workbook         -> XML template + xlsx_pack.py
#    - edit / fill / fix existing  -> unpack -> edit -> pack  (zero format loss)

# 3) VERIFY — prove the file is correct and undamaged
python3 SKILL_DIR/scripts/formula_check.py output.xlsx --report
python3 SKILL_DIR/scripts/xlsx_render.py output.xlsx --out review/             # renders with CJK fonts
python3 SKILL_DIR/scripts/xlsx_reader.py output.xlsx --diff-against input.xlsx

If unsure which path to take, see the Decision Guide (section 2). If something breaks, see Troubleshooting (section 9). For Chinese-context specifics, see section 10.

1. Task Routing

CSV / TSV: for pure data work use pandas directly (mind the encoding — see section 10). To deliver an .xlsx, build it via the CREATE path so formatting and formulas are preserved.

2. Decision Guide (which path do I take?)

1. Only reading / analyzing, no output workbook? → READ path. xlsx_reader.py then pandas. Never modify the source.
2. File exists and I must change it (fill cells, add column/row, fix formulas, restyle)? → EDIT/FIX path. ALWAYS unpack → edit → pack. Never openpyxl.load_workbook(...).save() round-trip — it silently destroys VBA macros, pivot tables, charts, slicers, sparklines.
3. Building a new workbook from nothing? → CREATE path. Copy the minimal XML template, edit XML, pack.
4. Wrong/old values or a “needs repair” prompt? → recalc (libreoffice_recalc.py) and re-validate; if corruption, go to Troubleshooting.

Format-preservation rule of thumb: if the file contains (or might contain) macros, pivots, charts, conditional formatting, named ranges, or sparklines, stay on the XML unpack/edit/pack path. xlsx_reader.py reports which of these are present.

3. READ — Analyze data (read references/read-analyze.md first)

Start with xlsx_reader.py for structure discovery, then pandas for custom analysis. Never modify the source file.

• Encoding (critical for Chinese CSV): .xlsx is always UTF-8 internally, but .csv/.tsv exported from Chinese Excel is often GB18030/GBK. Detect and decode (see section 10); do not assume UTF-8.
• Decimal/format rule: when the user specifies decimal places (e.g. “2 位小数”), apply it to ALL numeric values — f'{v:.2f}'. Never print 12875 when 12875.00 is required.
• Aggregation rule: compute sums/means/counts directly from the DataFrame column, e.g. df['营业收入'].sum(). Never re-derive column values before aggregating.
• Large files: pandas.read_excel(..., sheet_name=None) to enumerate sheets; .head() before full loads.

4. CREATE — XML template (read references/create.md + references/format.md)

Copy templates/minimal_xlsx/ → edit XML directly → pack with xlsx_pack.py.

• Every derived value MUST be an Excel formula (<f>SUM(B2:B9)</f>), never a hardcoded number.
• Use cell references over magic numbers (=H6*(1+$B$3), not =H6*1.04).
• Chinese text in cells: store as inline strings and XML-escape & < >, e.g. <c r="A1" t="inlineStr"><is><t>营业收入</t></is></c>. Always write XML as UTF-8.
• Column widths for CJK: Chinese glyphs are roughly twice as wide as ASCII. Set wider columns (rough rule: width ≈ max CJK chars × 2.1 + 2) so headers like “本年累计金额” are not clipped.
• Apply number/date formats per section 10 and format.md.
• After packing, run VERIFY (validate + render).

5. EDIT — XML direct-edit (read references/edit.md first)

CRITICAL — EDIT INTEGRITY RULES

1. NEVER create a new Workbook() for edit tasks. Always load/unpack the original file.
2. Output MUST contain the same sheets as the input (same names, order, data) unless the task explicitly says to add/remove.
3. Only modify the specific cells the task asks for — everything else stays byte-for-byte untouched.
4. Preserve special parts: vbaProject.bin, pivotTables/, pivotCache/, charts/, slicers, sparklines must survive unchanged.
5. After saving output.xlsx, verify it with xlsx_reader.py --diff-against input.xlsx: confirm original sheet names, named ranges, pivots/macros, and a sample of original data are present. If verification fails, fix it before delivering.

Never use an openpyxl round-trip on existing files. Instead: unpack → use helper scripts / edit XML → repack.

“Fill cells” / “Add formulas to existing cells” = EDIT task

python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
# Find target sheet XML via xl/workbook.xml -> xl/_rels/workbook.xml.rels
#   <c r="B3"><f>SUM('销售数据'!D2:D13)</f><v></v></c>
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

Add a column (formulas, numfmt, styles auto-copied from adjacent column)

python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
python3 SKILL_DIR/scripts/xlsx_add_column.py /tmp/xlsx_work/ --col G \
    --sheet "Sheet1" --header "占比" \
    --formula '=F{row}/$F$10' --formula-rows 2:9 \
    --total-row 10 --total-formula '=SUM(G2:G9)' --numfmt '0.0%' \
    --border-row 10 --border-style medium
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

--border-row applies a top border to ALL cells in that row (not just the new column). Use for accounting-style total rows.

Insert a row (shifts rows, updates SUM formulas, fixes circular refs)

python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
# Locate the row by its LABEL text (works for Chinese labels too):
#   grep -n "办公租金" /tmp/xlsx_work/xl/worksheets/sheet*.xml
#   (Chinese labels usually live in xl/sharedStrings.xml — grep there as well)
python3 SKILL_DIR/scripts/xlsx_insert_row.py /tmp/xlsx_work/ --at 5 \
    --sheet "2025预算" --text A=水电费 \
    --values B=3000 C=3000 D=3500 E=3500 \
    --formula 'F=SUM(B{row}:E{row})' --copy-style-from 4
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

Row lookup rule: when the task says “after row N (Label)”, find the row by searching for the label in sharedStrings.xml/worksheet XML and use the real row number + 1 for --at. xlsx_insert_row.py calls xlsx_shift_rows.py internally — do not call it separately.

Row-wide borders (e.g. accounting line on a TOTAL row)

Append a new <border> in xl/styles.xml, append an <xf> clone in <cellXfs> setting the new borderId, then apply that style index to every <c> in the row via the s attribute. Iterate over ALL cells A through the last column.

<border><left/><right/><top style="medium"/><bottom/><diagonal/></border>

Manual XML edit (anything helper scripts don’t cover)

python3 SKILL_DIR/scripts/xlsx_unpack.py input.xlsx /tmp/xlsx_work/
# ... edit XML (UTF-8) ...
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/xlsx_work/ output.xlsx

Common corruption traps (handled by pack/fix scripts)

• Edited a string but didn’t update sharedStrings.xml count/uniqueCount.
• Edited a formula but left a stale calcChain.xml (delete it; the app rebuilds).
• Re-ordered ZIP parts or recompressed vbaProject.bin on pack (keep order; store the macro blob).
• Wrote XML in a non-UTF-8 encoding → Chinese turns into mojibake. Always UTF-8.

6. FIX — Repair broken formulas (read references/fix.md first)

EDIT task. Unpack → fix broken <f> nodes / rebuild calcChain.xml → pack. Preserve all original sheets and data. Re-validate after.

7. VALIDATE — Check formulas (read references/validate.md first)

• Static: formula_check.py file.xlsx --report (exit code 0 = safe). Flags #REF!, #DIV/0!, #VALUE!, #N/A, #NAME?, broken ranges, circular refs.
• Dynamic: libreoffice_recalc.py file.xlsx to recalculate and write back cached values (openpyxl does NOT evaluate formulas).

8. REVIEW — Visual verification (read references/visual-review.md first)

Closes the “no visual interface” gap so a human can confirm results. xlsx_render.py forces CJK-capable fonts so Chinese text renders instead of showing tofu boxes (□□□).

python3 SKILL_DIR/scripts/xlsx_render.py output.xlsx --out review/        # one PNG per sheet
python3 SKILL_DIR/scripts/xlsx_render.py --diff input.xlsx output.xlsx --html review/diff.html  # before/after

Review checklist: layout alignment, CJK text not clipped/tofu, number/date formats, error values, pivots/charts still render.

9. Troubleshooting

10. Chinese / CJK Context Handbook

Encoding

• .xlsx/.xlsm internals are always UTF-8 — keep them UTF-8 on edit.
• CSV/TSV from Chinese Windows Excel is usually GB18030/GBK (sometimes UTF-8 with BOM). When reading:

  import pandas as pd
  for enc in ("utf-8-sig", "gb18030", "utf-16"):
    try:
        df = pd.read_csv(path, encoding=enc); break
    except UnicodeDecodeError:
        continue

• When writing CSV for the user to open in Excel, use encoding="utf-8-sig" (BOM) so Excel shows Chinese correctly.

Text / XML

• Store Chinese cell text as inline strings and escape & < >. Sheet names, named ranges, and headers may be Chinese — quote sheet names in formulas: SUM('销售数据'!D2:D13).
• Beware full-width characters (，；：（）％ and full-width digits １２３). Normalize to half-width for numeric parsing when needed (unicodedata.normalize('NFKC', s)).

Numbers & currency

• RMB currency format: "¥"#,##0.00 (or "￥" full-width). For accounting style use _-"¥"* #,##0.00_-;-"¥"* #,##0.00.
• 万/亿 scaling: Chinese reports often show 万 (10⁴) or 亿 (10⁸). Display via custom number format 0!.0,,"亿" is unreliable; prefer a helper column that divides (=B2/100000000) with header “金额（亿元）”, keeping the source value intact.
• Thousands separator #,##0; percentage 0.0%.

Dates

• Chinese date format: yyyy"年"m"月"d"日"; with weekday aaaa → 星期X. Keep the underlying value a real date serial, only the number format is Chinese.

Rendering & fonts

• Use xlsx_render.py (it selects an installed CJK font: Noto Sans CJK SC/TC, Source Han, WenQuanYi, or Microsoft YaHei if present). Verify with doctor.py.

Layout

• Widen columns for CJK (≈ chars × 2.1 + 2). Avoid wrapping headers awkwardly; set row height if wrapping Chinese text.
• Sorting Chinese text: default is by Unicode code point. If the user wants pinyin or stroke order, sort explicitly with pypinyin (pinyin) or document the limitation.

Financial Color Standard (optional — only for financial models)

Finance display conventions (when applicable): zeros as -, negatives in red parentheses, multiples as 5.2x, units in headers (e.g. 营业收入（亿元）).

Key Rules

1. READ → ACT → VERIFY every time. Never skip READ or VERIFY.
2. Formula-First: every calculated cell uses an Excel formula, not a hardcoded number.

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3. CREATE → XML template: copy minimal template, edit XML, pack.
4. EDIT/FIX → XML unpack/edit/pack: never openpyxl round-trip on existing files.
5. Preserve everything not targeted: sheets, named ranges, pivots, macros, charts.
6. UTF-8 always; detect CSV encoding: never corrupt Chinese text.
7. Always produce the output file and validate before delivery (formula_check.py exit 0).
8. Show your work: render with CJK fonts whenever layout matters.

Utility Scripts

python3 SKILL_DIR/scripts/doctor.py                                  # NEW: env + CJK-font self-check
python3 SKILL_DIR/scripts/xlsx_reader.py input.xlsx                  # structure discovery
python3 SKILL_DIR/scripts/xlsx_reader.py out.xlsx --diff-against in.xlsx  # NEW: structural diff for EDIT verification
python3 SKILL_DIR/scripts/formula_check.py file.xlsx --json          # formula validation (machine-readable)
python3 SKILL_DIR/scripts/formula_check.py file.xlsx --report        # formula validation (report)
python3 SKILL_DIR/scripts/libreoffice_recalc.py file.xlsx            # recalc & write back cached values
python3 SKILL_DIR/scripts/xlsx_render.py file.xlsx --out review/      # NEW: render PNG/PDF with CJK fonts
python3 SKILL_DIR/scripts/xlsx_render.py --diff in.xlsx out.xlsx --html review/diff.html  # NEW: before/after HTML
python3 SKILL_DIR/scripts/xlsx_unpack.py in.xlsx /tmp/work/           # unpack for XML editing
python3 SKILL_DIR/scripts/xlsx_pack.py /tmp/work/ out.xlsx            # repack (preserves part order & macros)
python3 SKILL_DIR/scripts/xlsx_shift_rows.py /tmp/work/ insert 5 1    # shift rows for insertion
python3 SKILL_DIR/scripts/xlsx_add_column.py /tmp/work/ --col G ...    # add column with formulas
python3 SKILL_DIR/scripts/xlsx_insert_row.py /tmp/work/ --at 6 ...     # insert row with data

References

references/quickstart.md       — the READ→ACT→VERIFY loop (section 0)        [NEW]
references/decision-guide.md   — which path to take (section 2)             [NEW]
references/read-analyze.md     — reading & pandas analysis
references/create.md           — building new workbooks
references/format.md           — number formats, styles, colors, CJK
references/edit.md             — EDIT integrity rules & XML editing
references/fix.md              — repairing formulas / corruption
references/validate.md         — formula validation & recalculation
references/visual-review.md    — rendering & visual checks (CJK)            [NEW]
references/troubleshooting.md  — common failures & fixes (section 9)         [NEW]
references/cjk-guide.md        — Chinese / CJK handbook (section 10)         [NEW]

这个 Skill 质量很高，文档写得非常详细全面，操作复杂 Excel 文件时能很好地保留原有格式和功能，对中文内容的处理也很到位。脚本工具配套完整，从检查到编辑再到验证都有覆盖。缺点是说明文档很专业但对新手来说有点多，另外缺少自动测试覆盖，复杂场景下可能存在未知问题。总体来说是专业级别的工具，适合需要频繁处理 Excel 报表或复杂表格的用户。