بنقرة واحدة
external-context
Invoke parallel document-specialist agents for external web searches and documentation lookup
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Invoke parallel document-specialist agents for external web searches and documentation lookup
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
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)