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.

.opencode/skills/ai-prompt-engineering/SKILL.md

@@ -0,0 +1,26 @@
+---
+name: ai-prompt-engineering
+description: Create self-contained prompts for another AI assistant that lacks access to this workspace memory.
+compatibility: opencode
+---
+
+## When To Use
+
+Use this skill when the user wants a prompt for another AI assistant, coding agent, review tool, or implementation environment.
+
+## Workflow
+
+1. Identify target task type: investigation, implementation, review, testing, debugging, or documentation.
+2. Pull only relevant workspace context.
+3. Make the prompt self-contained.
+4. Tell the target AI what to inspect before acting.
+5. State constraints, non-goals, expected output, and validation expectations.
+6. Avoid invented file paths when the implementation repository is not available.
+
+## Output Rules
+
+- Return only the prompt unless the user asks for commentary.
+- Prefer clear sections over long prose.
+- Include work-item ID and title when relevant.
+- Make assumptions explicit.
+