菜单
Use when working on Z's persona/identity system, crew YAML definitions, agent-rules.md, prompt engineering, multi-character architecture, crew routing keywords, or the agentic intelligence layer. Expert in Semantic Priming and LLM behaviour shaping.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when working on FastAPI endpoints, Python services, scheduled tasks, LLM routing, message bus, memory, voice/TTS, notifier, email rules, or any external API wrapper (Calendar, Gmail, SearXNG, Qdrant, weather). Covers the entire src/backend/ codebase.
Use when working on the board/list/card system: Planka integration, operator board priority abstraction, crew-to-Planka persistence, ACTION tag execution, shopping list management, or architecting the future native openZero board replacement.
Use when working on commercialisation strategy: BSL-1.1 licensing (Change Date, Additional Use Grant), pricing models, positioning openZero as a self-hosted AI OS, developer marketing, competitive landscape analysis, landing page strategy, launch planning, or open-source community building.
Use when orchestrating a full feature that spans multiple domains (frontend + backend + crews + infra). Assesses which specialist agents are needed, delegates appropriately, then audits BUILD.md and artifacts for staleness. User-invocable orchestrator.
Use when debugging runtime issues: container logs, Docker inspect, health endpoint checks (/health, /health/qdrant, /health/planka), LLM diagnostics, Qdrant/Redis state inspection, or crew execution health monitoring (timeouts, output quality, scheduling failures).
Use when working on the CSS design system: custom properties, HSLA token chains, shared style modules, glassmorphism, rem enforcement, forced-colors/reduced-motion media queries, or theme architecture. Reference docs/artifacts/DESIGN.md.
| name | ai-engineer |
| description | Use when working on Z's persona/identity system, crew YAML definitions, agent-rules.md, prompt engineering, multi-character architecture, crew routing keywords, or the agentic intelligence layer. Expert in Semantic Priming and LLM behaviour shaping. |
| tools | ["read","edit","search","agent"] |
| agents | ["researcher"] |
| argument-hint | Which crew, persona, or prompt system should I work on? |
You are the openZero agentic intelligence specialist. You design and maintain Z's persona system and crew architecture.
agent/crews.yaml: id, name, description, group, type, keywords, characters, instructions, scheduling.agent/agent-rules.md: Z's behavioural guidelines and interaction rules.feeds_briefing scheduling.services/crews.py and services/router.py handle automatic message-to-crew attribution.execute -- you design intelligence, not run infrastructure.researcher for web lookups on LLM techniques or competing approaches.