Updates main skill library README. (#301)

libraries/python/skills/README.md

@@ -5,7 +5,9 @@ more explicitly defined as "skills".
 
 Skills allow you to create more capable chatbots, a.k.a. assistants.
 
-This directory is split into:
+Read more about our skill library concepts in the [Skill Library README](./skill-library/README.md).
+
+_This_ directory is split into:
 
 - Our [skill library](./skill-library/README.md).
 - A set of [skills](./skills/README.md) that can be run by the library.
@@ -16,47 +18,3 @@ Also, see our
 [example](../../../assistants/skill-assistant/README.md) of
 integrating a skill [assistant](./skill-library/skill_library/assistant.py) into
 a Semantic Workbench assistant if that's something you want to try.
-
-Each of these are different python packages and will need to be installed
-independently (using `make` or `poetry install` in their respective
-directories).
-
-## What is a "skill"?
-
-Think of a skill as a package of assistant capabilities. A skill can contain
-"actions" that an assistant can perform and "routines" that are entire
-procedures that an assistant can run.
-
-A demonstration [Posix skill](./skills/posix-skill/README.md) is provided that
-makes these ideas more clear. Various actions are provided in the skill that provide
-posix-like ability to manage a file system (creating directories and files,
-listing files, reading files, etc.). In addition, though, a routine is provided
-that can create a user directory with all of it's associated subdirectories.
-
-Using an everyday example in our own lives, you can imagine hiring a chef to
-cook you a meal. The chef would be skilled at actions in the kitchen (like
-chopping or mixing or frying) but would also be able to perform full routines
-(recipes), allowing them to make particular dishes according to your preferences.
-
-## Skill Routines
-
-In a way, this whole library was set up to be able to experiment with _routines_
-more easily:
-
-- This library hides a lot of the complexity of developing multi-layered
-  assistants by providing clearer purposeful abstractions and better defining or
-  disambiguating commonly confused terms. For example, we separate out a lot of
-  the complexity of interacting with the OpenAI Chat Completion API with the
-  [chat driver](../chat-driver/README.md) abstraction and we now
-  distinguish between chat commands, chat tool functions, and routine actions in
-  a clear way, even though they're really all just functions.
-- Routines (formerly referred to as "Recipes") make it clear that what we are
-  developing agents that can automate productive work collaboratively with the
-  user. We have several ideas here, from simply following a set of steps, to
-  being able to run Pythonic programs skill actions, to much more fully managed
-  routine running with LLM-driven meta-cognitive execution (having the LLM
-  monitor progress and modify the routines as necessary).
-
-Currently we provide one functional routine runner implementation, the
-[InstructionRoutineRunner](./skill-library/skill_library/routine_runners/instruction_routine_runner.py),
-but will be adding several more in the upcoming weeks.