isaaccorley/geospatial-skills/search-stac

Claude Code and agent skill by isaaccorley/geospatial-skills

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Search and download satellite imagery from Microsoft Planetary Computer. Browse available collections, search by bbox and time range, list assets, and download specific items.

Install

npx vskill@latest install isaaccorley/geospatial-skills/search-stac

SKILL.md

You are helping the user search and download satellite imagery from the Planetary Computer STAC catalog using geoai.

Input: $@

Follow these steps in order.

Step 1 -- Determine the action

Parse $@ to identify what the user wants:

  • If the input is list, collections, or asks "what is available": list collections.
  • If a collection name and --bbox are provided: search for items.
  • If --download is present: download items after searching.

Step 2 -- List collections (if requested)

bash
python3 -c "
import geoai
df = geoai.pc_collection_list()
print(df.to_string())
"

If the user provided a filter keyword, pass it:

bash
python3 -c "
import geoai
df = geoai.pc_collection_list(filter_by='FILTER')
print(df.to_string())
"

Report the available collections and stop (unless the user also specified a search).

Step 3 -- Search for items

Parse the collection name, bounding box (--bbox), and optional datetime range (--datetime).

The datetime range should be in the format YYYY-MM-DD/YYYY-MM-DD (start/end).

bash
python3 -c "
import geoai
items = geoai.pc_stac_search(
collection='COLLECTION',
bbox=[MINX, MINY, MAXX, MAXY],
time_range='TIME_RANGE',
limit=LIMIT,
)
print(f'Found {len(items)} items')
print('---')
for item in items[:20]:
assets = list(item.assets.keys())
print(f' {item.id}: {item.datetime} - assets: {assets}')
"

Replace COLLECTION, MINX, MINY, MAXX, MAXY, TIME_RANGE, and LIMIT with actual values. Use limit=10 by default.

If time_range was not specified, omit it or pass None.

Step 4 -- List assets for an item (optional)

If the user asks about available assets or bands for a specific item:

bash
python3 -c "
import geoai
assets = geoai.pc_item_asset_list(item_id='ITEM_ID', collection='COLLECTION')
for name, info in assets.items():
print(f' {name}: {info}')
"

Step 5 -- Download items (if --download flag or user confirms)

bash
python3 -c "
import geoai, os
items = geoai.pc_stac_search(
collection='COLLECTION',
bbox=[MINX, MINY, MAXX, MAXY],
time_range='TIME_RANGE',
limit=LIMIT,
)
output_dir = 'OUTPUT_DIR'
os.makedirs(output_dir, exist_ok=True)
result = geoai.pc_stac_download(
items,
output_dir=output_dir,
)
print(f'Downloaded to: {output_dir}')
for f in os.listdir(output_dir):
fpath = os.path.join(output_dir, f)
if os.path.isfile(fpath):
size_mb = os.path.getsize(fpath) / (1024 * 1024)
print(f' {f} ({size_mb:.1f} MB)')
"

Default output directory: ./stac_data/

Step 6 -- Report and suggest follow-ups

Summarize the search or download results. Then suggest:

  • "Use the `gdal` skill to examine any downloaded files."
  • "Use the `gdal` skill to clip or mosaic the imagery."

Error handling

  • `import geoai` fails -> suggest pip install geoai-py.
  • Invalid collection name -> list available collections and suggest the closest match.
  • No items found -> suggest expanding the bbox, adjusting the date range, or trying a different collection.
  • Download failure -> report the error and suggest retrying with fewer items.

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewNot runA model review is scheduled for the next rescan.

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

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