Best for
- convert-pdf-to-md for any .pdf files
- convert-word-to-md for any .docx files
github/awesome-copilot/skills/convert-excel-to-md/SKILL.md
Converts Excel (.xlsx) workbooks into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from. Use this skill whenever the user shares, references, or asks about a .xlsx file — even if they don't say "convert" or "markdown" explicitly. This includes requests to "read", "summarize", "review", "extract data from", "compare", "chart", or "analyze" a spreadsheet, workbook, budget, data export, or tracker. Always run the bundled conversion script to produce Mark
Decision brief
Converts Excel (. xlsx) workbooks into Markdown so their contents can be accurately analyzed, summarized, searched, or extracted from.
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/github/awesome-copilot --skill "skills/convert-excel-to-md"Inspect the Agent Skill "convert-excel-to-md" from https://github.com/github/awesome-copilot/blob/9933dcad5be5caeb288cebcd370eeeb2fc2f1685/skills/convert-excel-to-md/SKILL.md at commit 9933dcad5be5caeb288cebcd370eeeb2fc2f1685. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
Before the first conversion in a given environment, follow references/setup.md step by step to ensure Python, pip, and the markitdown package are installed. Do this proactively rather than guessing whether the environment is ready — the script itself will also fail with a clear…
The conversion script lives at scripts/convertexceltomd.py.
Trigger this skill any time there is a .xlsx file that needs to be understood or processed — for example, a user attaches a spreadsheet and asks questions about it, wants a summary of the data, wants specific rows or values pulled out, or wants multiple workbooks in a folder pro…
Default — always output next to the source file. The / folder is created in the same directory as the source .xlsx. This is the required default for every case. Do NOT override it unless the user explicitly asks for a different location.
Review the “Troubleshooting” section in the pinned source before continuing.
Permission review
The documentation asks the agent to read local files, directories, or repositories.
using the script in this skill rather than trying to open or parse the fileThe documentation asks the agent to run terminal commands or scripts.
python scripts\convert_excel_to_md.py "C:\path\to\workbook.xlsx"The documentation asks the agent to run terminal commands or scripts.
python scripts\convert_excel_to_md.py "C:\path\to\workbook.xlsx" -o "C:\path\to\output_folder"The documentation asks the agent to read local files, directories, or repositories.
After conversion, read the resulting `.md` file(s) to perform the actualEvidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 78/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 37,126 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
Trigger this skill any time there is a .xlsx file that needs to be
understood or processed — for example, a user attaches a spreadsheet and
asks questions about it, wants a summary of the data, wants specific rows or
values pulled out, or wants multiple workbooks in a folder processed
together. Excel's native .xlsx format is a zipped XML bundle that is not
reliably readable as plain text, so always convert it to Markdown first
using the script in this skill rather than trying to open or parse the file
directly.
This skill only supports .xlsx. If asked to convert a legacy .xls file,
tell the user it isn't supported and ask them to re-save it as .xlsx
(Excel: File > Save As > Excel Workbook (.xlsx)) first.
Mixed file types: When the user references a folder or set of documents
containing multiple supported file types (.pdf, .docx, .xlsx), this
skill handles only .xlsx files. The agent MUST also invoke the sibling
skills in parallel:
convert-pdf-to-md for any .pdf filesconvert-word-to-md for any .docx filesNever process a folder and silently skip a supported file type. All three skills must be invoked together when mixed types are present.
Before the first conversion in a given environment, follow
references/setup.md step by step to ensure Python,
pip, and the markitdown package are installed. Do this proactively rather
than guessing whether the environment is ready — the script itself will
also fail with a clear pointer back to that file if markitdown turns out
to be missing, so it's safe to just try the conversion first if you're
reasonably confident setup was already done.
The conversion script lives at scripts/convert_excel_to_md.py.
Output structure: MarkItDown's XLSX converter renders each sheet as its
own ## <SheetName> Markdown table — it has no support for embedded images
at all. This script separately extracts real embedded images (raster
pictures, not charts) and maps them to the sheet they belong to, writing a
self-contained folder per document:
<name>/
img/
sheet001_<sheetname>_img001.<ext>
sheet002_<sheetname>_img001.<ext>
...
<name>.md (each sheet's images appear right after its table,
under a "#### Images in this sheet" heading)
This is per-sheet placement, not exact cell position — the finest
granularity MarkItDown's stable output anchors (the ## <SheetName>
headings) allow. If a workbook has no embedded images, no img/ folder or
image sections are created. Native Excel charts are not extracted as
images (only actual embedded pictures are — charts would need to be
rendered by Excel/LibreOffice, which this lightweight skill does not do).
Single file:
python scripts\convert_excel_to_md.py "C:\path\to\workbook.xlsx"
This creates a workbook\ folder next to the source file (containing
workbook.md and, if present, workbook\img\). To control the destination
folder explicitly:
python scripts\convert_excel_to_md.py "C:\path\to\workbook.xlsx" -o "C:\path\to\output_folder"
A folder of workbooks (batch mode):
python scripts\convert_excel_to_md.py "C:\path\to\folder"
Add --recursive to also include subfolders:
python scripts\convert_excel_to_md.py "C:\path\to\folder" --recursive
Each .xlsx found gets its own <name>\ output folder next to it by
default. Pass -o "C:\path\to\output_parent" to collect all the generated
<name>\ folders under a separate parent directory instead (subfolder
structure is preserved when combined with --recursive).
After conversion, read the resulting .md file(s) to perform the actual
analysis the user asked for — the script's job is only to produce accurate
Markdown (and images), not to interpret the content.
Default — always output next to the source file. The <name>/ folder
is created in the same directory as the source .xlsx. This is the required
default for every case. Do NOT override it unless the user explicitly asks
for a different location.
Only use -o when the user explicitly provides an output path (e.g.,
"save the output to C:\output", "put the results in D:\work"). Do NOT
pass -o based on the agent's current working directory, the session state
folder, or any implied location.
If the source file path cannot be fully resolved — for example, the
user provides only a filename with no directory, or the path is ambiguous —
use ask_user to confirm the full absolute path before running the
conversion. Never guess or assume the directory.
| Symptom | Likely cause | Fix |
|---|---|---|
ModuleNotFoundError: No module named 'markitdown' / exit code 2 | MarkItDown not installed | Follow references/setup.md |
ERROR: Unsupported file type '.xls' / exit code 3 | Legacy .xls, not .xlsx | Ask the user to re-save as .xlsx |
ERROR: Input path not found / exit code 3 | Wrong path, or file moved | Confirm the correct path with the user |
FAILED <file> -> ... in batch output | That specific file is corrupt, password-protected, or otherwise unreadable | Report which file(s) failed; other files in the batch still succeed |
NOTE: skipped N non-.xlsx file(s) | Folder contains non-Excel files | Expected — those files are intentionally ignored |
| A sheet's charts don't appear as images | Charts are chart objects, not embedded pictures — this skill only extracts real embedded raster images | Expected; mention this limitation if the user specifically needs chart images |
Alternatives
K-Dense-AI/scientific-agent-skills
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
K-Dense-AI/scientific-agent-skills
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
github/awesome-copilot
Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Intended user audience is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, or geofeed authoring best practices. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyon
K-Dense-AI/scientific-agent-skills
Analyze Neuropixels extracellular recordings end-to-end with SpikeInterface. Covers loading SpikeGLX/Open Ephys/NWB data, preprocessing, drift/motion correction, Kilosort4 (and CPU) spike sorting, quality metrics, and unit curation (threshold-based, model-based UnitRefine, and AI-assisted visual review). Use when working with Neuropixels 1.0/2.0 recordings, spike sorting, or extracellular electrophysiology analysis.