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Invoke parallel document-specialist agents for external web searches and documentation lookup
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
Process-first advisor routing for Claude, Codex, Gemini, Antigravity, Grok, or Cursor via `omc ask`, with artifact capture and no raw CLI assembly
Claude-Codex-Gemini tri-model orchestration via /ask codex + /ask antigravity (or gemini), then Claude synthesizes results
OMC agent catalog, available tools, team pipeline routing, commit protocol, and skills registry. Auto-loads when delegating to agents, using OMC tools, orchestrating teams, making commits, or invoking skills.
Install or refresh oh-my-claudecode for plugin, npm, and local-dev setups from the canonical setup flow
CLI-team runtime for claude, codex, gemini, antigravity, grok, or cursor workers in tmux panes when you need process-based parallel execution
N coordinated agents on shared task list using Claude Code implicit agent teams
| name | external-context |
| description | Invoke parallel document-specialist agents for external web searches and documentation lookup |
| argument-hint | <search query or topic> |
| level | 4 |
Fetch external documentation, references, and context for a query. Decomposes into 2-5 facets and spawns parallel document-specialist Claude agents.
/oh-my-claudecode:external-context <topic or question>
/oh-my-claudecode:external-context What are the best practices for JWT token rotation in Node.js?
/oh-my-claudecode:external-context Compare Prisma vs Drizzle ORM for PostgreSQL
/oh-my-claudecode:external-context Latest React Server Components patterns and conventions
Given a query, decompose into 2-5 independent search facets:
## Search Decomposition
**Query:** <original query>
### Facet 1: <facet-name>
- **Search focus:** What to search for
- **Sources:** Official docs, GitHub, blogs, etc.
### Facet 2: <facet-name>
...
Fire independent facets in parallel via Task tool:
Task(subagent_type="oh-my-claudecode:document-specialist", model="sonnet", prompt="Search for: <facet 1 description>. Use WebSearch and WebFetch to find official documentation and examples. Cite all sources with URLs.")
Task(subagent_type="oh-my-claudecode:document-specialist", model="sonnet", prompt="Search for: <facet 2 description>. Use WebSearch and WebFetch to find official documentation and examples. Cite all sources with URLs.")
Maximum 5 parallel document-specialist agents.
Present synthesized results in this format:
## External Context: <query>
### Key Findings
1. **<finding>** - Source: [title](url)
2. **<finding>** - Source: [title](url)
### Detailed Results
#### Facet 1: <name>
<aggregated findings with citations>
#### Facet 2: <name>
<aggregated findings with citations>
### Sources
- [Source 1](url)
- [Source 2](url)