ms-ai-architect/NOTICE.md
Kjell Tore Guttormsen baa2d0220b feat(ultraplan-local): v1.6.0 — /ultraresearch-local deep research command
Add /ultraresearch-local for structured research combining local codebase
analysis with external knowledge via parallel agent swarms. Produces research
briefs with triangulation, confidence ratings, and source quality assessment.

New command: /ultraresearch-local with modes --quick, --local, --external, --fg.
New agents: research-orchestrator (opus), docs-researcher, community-researcher,
security-researcher, contrarian-researcher, gemini-bridge (all sonnet).
New template: research-brief-template.md.

Integration: --research flag in /ultraplan-local accepts pre-built research
briefs (up to 3), enriches the interview and exploration phases. Planning
orchestrator cross-references brief findings during synthesis.

Design principle: Context Engineering — right information to right agent at
right time. Research briefs are structured artifacts in the pipeline:
ultraresearch → brief → ultraplan --research → plan → ultraexecute.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-08 08:58:35 +02:00

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Attribution Notice

Microsoft Learn Documentation

This project contains adapted material derived from Microsoft Learn documentation, which is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).

The original documentation is copyright Microsoft Corporation and contributors.

What has been adapted

The reference files in the skill-specific references/ directories have been:

  • Translated from English to Norwegian
  • Reorganized into a domain-specific knowledge structure
  • Synthesized across multiple source articles into consolidated reference documents
  • Augmented with original analysis, decision guidance, and Norwegian public sector context

Source verification

The majority of reference files (~98%) include a "Kilder og verifisering" section at the end of each file, listing the specific Microsoft Learn URLs used as sources. These URLs were verified at the time of generation via the Microsoft Learn MCP server.

Code samples

Code samples derived from Microsoft Learn documentation are used under the MIT License, consistent with MicrosoftDocs repository licensing.

Original content

The following content is original work and not derived from Microsoft Learn:

  • Plugin architecture (commands, agents, hooks, orchestrator)
  • The "Cosmo Skyberg" architect persona and decision methodology
  • Diagram prompt templates (architecture/diagram-prompt-templates.md)
  • Decision trees and synthesis across multiple platform domains
  • Norwegian public sector governance analysis

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This project is not endorsed by, affiliated with, or sponsored by Microsoft Corporation.