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david.delagneau 8026da5719 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.

2026-04-16 08:35:53 -06:00

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AI Workspace Core

Reusable operating layer for AI-assisted professional workspaces.

The core is project-independent. It defines how an AI agent should maintain file-based memory, ingest communication evidence, draft recurring updates, and adjust its own commands, prompts, and skills when reusable behavior changes.

Core Responsibilities

Maintain operational memory across sessions
Separate imported evidence from promoted memory
Provide reusable command and prompt patterns
Support project profiles without embedding project-specific facts in the core
Keep tooling behavior editable by the agent when the user corrects recurring output

Project Profiles

Each real project should provide a profile under profiles/<project>/.

A profile declares:

project name and audience
active communication sources
ticket/work-item system
manager or stakeholder mapping
domain-specific context files
enabled commands and skills

The core should never require a specific company, codebase, manager, channel name, ticket prefix, or programming stack.

Memory Layers

daily: facts from a specific workday
state: current active focus and near-term constraints
work-items: canonical memory for active units of work
stable-context: durable system, domain, process, or architecture knowledge
people: role, stakeholder, and collaboration memory
decisions: confirmed decisions with ongoing impact
tooling-behavior: reusable rules that change commands, prompts, skills, or agent behavior

See core/memory/operational-memory.md for the detailed rules.

Integration Model

Integrations extract evidence. They do not decide what becomes memory.

live communication connectors write recent evidence to ai/inbox/
historical archive connectors write selected evidence to scripts/<source>/generated/
the agent promotes only high-confidence, project-relevant facts into memory

See core/integrations/communication-model.md for the reusable connector contract.

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