Compare models available through the HuggingFace router with chat-ui configuration, research missing models, and write short English descriptions of their architecture and capabilities. Add entries to both production and development configuration files and commit the changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding newly available router models to chat-ui
• Writing concise descriptions of model capabilities
• Updating production and development model entries together

Create an Architecture Decision Record, a document for recording important design choices, with the next sequential number. It generates a Markdown template, registers the record in AgentDB, and links related decisions found through search.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Record the reasoning behind adopting a technology
• Start an ADR for an API or data model change
• Document an infrastructure decision

Build a searchable index and relationship graph from ADRs, records of architectural decisions. Import two supported document formats, refresh existing metadata without duplicate relationships, and review summaries of statuses, missing references, and inconsistencies.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Index ADRs imported from another project
• Refresh a graph that differs from files on disk
• Set up ADR tracking in an existing codebase

Rebuild the index of ADRs, records of architectural decisions, after files or relationship lines are deleted. It clears stored records and relationships, indexes the files still present, and checks that the final record count matches.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Rebuild the index after deleting an ADR file
• Remove stale relationships after editing an ADR
• Reconcile the ADR index on a schedule

Review code changes against accepted Architecture Decision Records, documents that capture agreed design choices. Report violations, outdated references, compliant changes, and areas without ADR coverage, then suggest code fixes or a new decision record where appropriate.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Check a pull request before merging
• Review major code changes against agreed design decisions
• Find references to superseded ADRs

Coordinate multiple AI agents by adjusting their communication structure and task assignments as workloads change. The skill describes performance monitoring, switching coordination patterns, forecasting agent capacity, and validating changes with rollback when performance worsens.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Choosing a coordination structure for multiple agents
• Redistributing tasks when agent workloads become uneven
• Forecasting how many agents a workload needs