docs: Added documentation for the new reasoning_effort variable for prompts

REPL-Prompt.md

@@ -3,7 +3,7 @@ and `right_prompt` settings in the global Coyote configuration file:
 
 ```yaml
 left_prompt: '{color.red}{model}){color.green}{?session {?agent {agent}>}{session}{?role /}}{!session {?agent {agent}>}}{role}{?rag @{rag}}{color.cyan}{?session )}{!session >}{color.reset} '
-right_prompt: '{color.purple}{?session {?consume_tokens {consume_tokens}({consume_percent}%)}{!consume_tokens {consume_tokens}}}{color.reset}'
+right_prompt: '{color.cyan}{?reasoning_effort [{reasoning_effort}] }{color.purple}{?session {?consume_tokens {consume_tokens}({consume_percent}%)}{!consume_tokens {consume_tokens}}}{color.reset}'
 ```
 
 The location of the global configuration file differs between systems, so you can use the following command to find your
@@ -65,6 +65,9 @@ max_input_tokens: 4096         # The maximum number of input tokens for the acti
 # Configuration Variables
 temperature: 1.0               # The temperature for the active model
 top_p: 0.9                     # The top_p for the active model
+reasoning_effort: high         # The reasoning effort level for the active model;
+                               # only set when the model supports configurable reasoning (see `reasoning_levels` in the
+                               # [Clients documentation](https://github.com/Dark-Alex-17/coyote/wiki/Clients))
 dry_run: true                  # Whether the given command is flagged to be a dry run
 stream: false                  # Whether streaming responses are enabled
 save: true                     # Whether shell history is saved

Skills.md

@@ -6,7 +6,8 @@ Multiple skills can be loaded at once. They compose, meaning their instructions
 their declared MCP servers get acquired automatically.
 
 > Skills are *static* curated knowledge packs. For *evolving* facts the LLM curates over time across sessions, 
-> see [Memory](Memory).
+> see [Memory](Memory). For *always-on, human-curated* project rules injected into every prompt, see 
+> [Workspace Instructions](Workspace-Instructions).
 
 Common uses: