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Por padrão, está selecionado o prompt que primeiro revisa a origem. Você pode mudar para um comando direto ou baixar uma cópia local.
Leia o SKILL.md e os arquivos complementares exibidos pelo SkillsMP antes de decidir se vai instalar.
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Um comando direto ignora o prompt de revisão. Verifique a origem antes de executá-lo.
npx skills add https://github.com/materialofair/oh-my-codex --skill multi-model-researchO comando permanece em uma só linha. Role horizontalmente para revisá-lo antes de copiar.
Prefere uma cópia local? Baixe os arquivos disponíveis atualmente no SkillsMP.
三阶段专利撰写workflow（Research → Plan → Implement），借鉴AutoPatent架构，通过 Codex CLI 原生 spawn_agent 派发 explorer/reviewer child agent 协作，确保专利质量和授权率；也用于整理或优化已有 DOCX 专利交底书、保留图片和版式资源并生成新版 Word 文档
Analyze raw prompts, identify intent and gaps, inventory the current oh-my-codex skill catalog across local/upstream sources, choose the best-fit skill chain, and output a ready-to-paste optimized prompt for Codex. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants the task executed directly, or says "just do it" / "直接做". DO NOT TRIGGER when user says "优化代码", "优化性能", "optimize performance", "optimize this code" — those are refactoring/performance tasks, not prompt optimization.
Tests Codex skill functionality with TDD approach, verifying skills work correctly through automated test scenarios and validation
Baseado na classificação ocupacional SOC
Exibindo SKILL.md
| name | multi-model-research |
| description | 多代理技术调研 - 使用 Codex 主线与只读 child agent 并行收集架构、实现、文档和风险视角。 |
| auto_invoke | true |
| tags | ["research","multi-agent","codex-native","no-timeout"] |
| version | 0.2.0 |
| source | fork |
| checksum | 73425cb43114bcd9aa8c4b8e527638ed77aa0385ca025a7a52a5cbeb7754fc83 |
| updated_at | 2026-05-29T03:50:00.000Z |
| intent | research |
| layer | research |
手动触发：
使用 multi-model-research 分析 <你的问题>
确认：
根据问题选择最小代理集：
spawn_agent(agent_type="explorer", message="<architecture and repo evidence task>")
spawn_agent(agent_type="reviewer", message="<risk and correctness task>")
spawn_agent(agent_type="docs-researcher", message="<official docs verification task>")
wait_agent
close_agent
常用分工：
| Agent | 关注点 | 输出 |
|---|---|---|
| explorer | 架构、代码路径、依赖关系 | 事实地图、方案适配性 |
| reviewer | 风险、安全、测试缺口、回归风险 | findings、阻塞项 |
| docs-researcher | 官方文档、版本行为、API 真实性 | 引用来源、版本约束 |
Codex 主线必须：
## ResearchPack
### Topic
[调研主题]
### Sources
- [本地文件 / 官方文档 / 命令]
### Findings
| Dimension | Finding | Evidence | Confidence |
### Options
| Option | Pros | Cons | Risks | Fit |
### Recommendation
[推荐方案 + 理由]
### Validation Plan
1. [step] -> verify: [check]
### Open Questions
[仍需确认的问题]
如果 child agent 不可用，主线 Codex 在同一回复中使用 [EXPLORER]、[REVIEWER]、、 四段完成同等分析。
[DOCS][SYNTHESIS]