geopandas SKILL.md skillA

geopandas from k-dense-ai/scientific-agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add k-dense-ai/scientific-agent-skills/geopandas@v1.4

Pins v1.4 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
k-dense-ai/scientific-agent-skills
Path
skills/geopandas/SKILL.md
Versions recorded
7
Latest version
v1.4, committed Oct 1, 2026
First version recorded
May 27, 2026
Size
15,374 bytes
Repository stars
56,497
License
MIT

Guidance and local audit tools for Python workflows that directly use GeoPandas GeoSeries, GeoDataFrame, spatial operations, or vector-data I/O.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# GeoPandas

Use GeoPandas for planar vector data represented as pandas-like `GeoSeries` and
`GeoDataFrame` objects. This skill targets stable **GeoPandas 1.2.0** (released
2026-09-28). The stable website currently carries a development build label;
release-specific behavior below was checked against the v1.2.0 source and wheel.

## Reproducible environment

GeoPandas 1.2.0 requires Python 3.11+, NumPy >=2, pandas >=2.2,
Shapely >=2.1, pyproj >=3.7, pyogrio >=0.8, and `packaging`. The current
pyproj wheel below requires Python 3.12+. This exact Python 3.12 snapshot was
smoke-tested on 2026-10-01:

```bash
uv venv --python 3.12
uv pip install \
  "geopandas==1.2.0" \
  "numpy==2.5.3" \
  "pandas==3.0.6" \
  "shapely==2.1.2" \
  "pyproj==3.8.0" \
  "pyogrio==0.13.0" \
  "pyarrow==25.0.1" \
  "packaging==26.3"
```

Keep optional plotting and PostGIS packages pinned in the project lock as well.
Do not mix binary geospatial packages from incompatible package channels.

## Workflow

1. Inspect a vetted local layer with `vector_inventory.py`; retain source hashes.
2. Use `crs_reprojection_plan.py` to inspect candidate transformations. It plans
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add k-dense-ai/scientific-agent-skills/geopandas@sha256:c03a46f911535326

The line at the top of this page pins the label v1.4, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_lsbmvfiav3qcaiai.svg)](https://markdownregistry.com/a/art_lsbmvfiav3qcaiai)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 7 versions of this file, between May 27, 2026 and Oct 1, 2026, about one every 21 days.

versioncommittedcommitsizeaudit
v1.4 latest2026-10-01 a92663a 15,374 BA view · diff
v1.32026-09-30 ce9e6e9 13,577 BA view · diff
v1.22026-09-02 1e5eeff 13,187 BA view · diff
v1.12026-07-26 b085e11 12,229 BA view · diff
v1.12026-07-24 10781b2 12,233 BA view · diff
git:20260611.1b8fae32026-06-11 1b8fae3 7,137 BA view · diff
v1.02026-05-27 0936740 7,132 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (15374 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

k-dense-ai/scientific-agent-skills · 56,497 stars · license MIT · pushed 2026-11-02 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_lsbmvfiav3qcaiai
GET https://markdownregistry.com/api/v1/resolve?ref=k-dense-ai/scientific-agent-skills/geopandas
GET https://markdownregistry.com/api/v1/blob/c03a46f911535326802af476208a1e04de13ea385f4d5309b022ad931826b222

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in k-dense-ai/scientific-agent-skills

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