SD is the standard deviation. It measures how "spread out" your data is. SD is always >= 0. It can only =0 if all the data values are the same (so it is rarely 0). You can find a 95% confidence interval for the true average of your data using the SD, e.g. Mean +/- (SD/N). You can also calculate a coefficient of variation = SD/Mean. I'd say the SD is small (relative to Mean), so your data is not spread all over the place.
You should see very few observations outside the range of Mean +/- 3*SD.
Skewness is a measure of the asymmetry (I'm getting this from Wikipedia.org). You'll find that having normal (symmetric) data is amenable to doing many statistical analyses. So skew=0 would mean you have symmetric data. Since the skewness is negative, that means the left tail of your data's distribution is longer than the normal (so you can guess that there's more data below the average than would be expected).
I don't know of anything you can do with the skewness, like you can with the SD.
Hope this helps.