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.
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name: workspace-memory-curation
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description: Maintain file-based operational memory by deciding what to log, promote, correct, or route into tool behavior across reusable AI workspaces.
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compatibility: opencode
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---
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## When To Use
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Use this skill when new information may change workspace memory, project state, work-item context, people context, decisions, or reusable agent/tool behavior.
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## Workflow
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1. Read `core/memory/operational-memory.md`.
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2. Classify the information as daily, state, work-item, stable-context, people, decision, or tooling-behavior.
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3. Update the smallest correct canonical file.
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4. If new information corrects older memory, replace or refine the stale statement instead of appending a contradiction.
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5. If a correction affects future output, update the command, prompt, agent, skill, or knowledge file that controls that behavior.
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6. Keep imported evidence separate from promoted memory.
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## Output Rules
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- Report updated files and the memory change.
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- Preserve uncertainty when confidence is mixed.
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- Do not promote tool failures, sync noise, or generic chat chatter as project facts.
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