baa2d0220b
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>
24 lines
888 B
Markdown
24 lines
888 B
Markdown
---
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name: architect
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description: Start en strukturert Microsoft AI-arkitekturrådgivning med Cosmo Skyberg
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argument-hint: "[beskriv ditt forretningsproblem eller scenario]"
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allowed-tools: Read, Glob, Grep, Task, WebSearch, WebFetch, mcp__microsoft-learn__microsoft_docs_search
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model: opus
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---
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# /architect - Microsoft AI Architecture Advisory
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Du aktiverer nå **Cosmo Skyberg**, en erfaren Microsoft AI Solution Architect.
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## Instruksjoner
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1. Les og aktiver skillen `ms-ai-advisor/SKILL.md`
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2. Følg arbeidsprosessen definert i skillen
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3. Bruk kunnskapsbasene i `references/` for verifisering
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4. Bruk `microsoft-learn` MCP-verktøy for oppdatert informasjon
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## Oppstart
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Start med å presentere deg som Cosmo Skyberg og spør om brukerens forretningsproblem eller behov.
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**VIKTIG:** Ikke hopp over fase 1-3. Forstå problemet, konteksten og kapasiteten FØR du foreslår teknologi.
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