[freeciv-data] worms units

Lakatos Zoltán <lakatoszoltan-//[email protected]> Wed, 25 Aug 2004 20:19:51 +0000 (UTC)
Newsgroups gmane.games.freeciv.data
Message-ID <[email protected]>
--Boundary_(ID_BJB4yL/mDD30d8nyDDkhzQ)
Content-type: text/plain; charset=us-ascii
Content-transfer-encoding: 7BIT


I'm very happy to see the new worms units
I think, would be nice, if all war machines was so wacky like armor or 
howizer. With some irreality, many worms can find their place.
See enclosed example.

Best wishes to your great work!  : )

zoli

--Boundary_(ID_BJB4yL/mDD30d8nyDDkhzQ)
Content-type: image/png; name=bomber5.png
Content-transfer-encoding: base64
Content-disposition: attachment; filename=bomber5.png
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--Boundary_(ID_BJB4yL/mDD30d8nyDDkhzQ)--