Refactor AI workspace for improved context management and communication integration

- Introduced new commands and skills for workspace memory curation, professional communication, and status reporting.
- Updated existing commands to utilize new skills and improve clarity in instructions.
- Created a new workspace context command to load reusable core and active project profile.
- Enhanced Mattermost inbox integration with support for generic environment variables.
- Established a clear separation between project-independent core logic and project-specific profiles.
- Improved documentation across various files to reflect changes in workflow and command usage.
- Added operational memory management rules to ensure accurate context promotion and correction.
- Updated README and workflow documents to guide users in utilizing the new structure effectively.

workflows/daily-context-sync.md

@@ -10,7 +10,7 @@ Keep this workspace aligned with work happening on another machine so AI output
 
 1. Capture the main tasks worked on during the day.
 2. Record key debugging findings and open questions.
-3. Copy relevant Mattermost communication into the daily log as summarized notes.
+3. Sync or copy relevant communication evidence into the inbox or daily log as summarized notes.
 4. Update `ai/state/current.md` if priorities or concerns changed.
-5. Add any stable learning to `ai/context/` or `knowledge/`.
+5. Add any stable learning to `ai/context/` or `knowledge/`; if the learning changes reusable workspace behavior, update `core/`, commands, prompts, skills, or agent rules too.
 6. Before asking AI for a standup or manager update, confirm the log reflects the latest state.