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ai-viewer
ai-viewer에는 netdata에서 수집한 skills 11개가 있으며, 저장소 수준 직업 범위와 사이트 내 skill 상세 페이지를 제공합니다.
이 저장소의 skills
Apply ai-viewer coding standards for production-quality Go and TypeScript changes. Use for implementation, refactoring, runtime behavior changes, and any change where clean code, separation of concerns, modularity, or maintainability matters.
Apply Go-specific patterns used in ai-viewer for fsnotify watching, SQLite access, SSE streaming, and structured logging. Use when editing internal/ingest, internal/store, internal/presenter, internal/adapters, internal/canonical, or internal/obs.
Run ai-viewer's external reviewer gates. Use on meaningful chunks of work, at least per SOW and per substantial SOW milestone: gap analysis, implementation plan, and implementation review. Reviewers are glm, minimax, kimi, mimo, deepseek, and qwen. They are gates, not implementers.
Master orchestration cycle for ai-viewer work — gap→plan→spec→test→code→gates→review→commit. The CTO writes implementation directly. Helper subagents are optional for bounded investigation, not the implementation norm. External reviewers are three milestone gates per meaningful feature, substantial batch, or SOW, not routine delegation.
Catalog of every automated quality gate ai-viewer enforces — commands, thresholds, and what to do when a gate fails. Use before claiming any work done, before any commit, when adding a new gate, or when investigating a CI failure. The runtime companion to .agents/sow/specs/quality-gates.md.
Keep ai-viewer specs synchronized with code. Use whenever a code change touches runtime behavior, defaults, schemas, contracts, file layouts, or external interfaces.
Helper-subagent patterns for ai-viewer. Use when bounded read-only investigation, summarization, or parallel context gathering would help. Do not use this skill to delegate implementation by default, and do not use helper subagents as external reviewer gates.
Install, run, and operate ai-viewer on the operator's workstation — the system install (/opt/ai-viewer, runs-as-operator, explicit --source flags, systemd units), the user install alternative, build/run/upgrade/uninstall commands, and the threat-model reasoning behind the run-as-operator decision. Use when installing or upgrading ai-viewer, debugging source-discovery / permission-denied errors, or answering "how do I run this / what port / where's the data".
Run, write, and maintain ai-viewer tests across Go backend and React frontend. Use when adding or changing tests, debugging CI failures, managing fixtures, or running benchmarks.
Step-by-step workflow for adding, modifying, or debugging a source-format adapter. Use whenever editing an adapter under internal/adapters, internal/canonical, or related fixture files.
Apply React/TypeScript/Vite patterns used in ai-viewer's frontend. Use when editing frontend/ — pages, components, API client, SSE handling, D3 visualizations.