---
name: External Context
slug: external-context
category: AI Engineering
description: External Context decomposes a query into parallel search facets and invokes document-specialist agents to fetch external documentation, references, and context with citations. Use it when you need up-to-date information from official docs, blogs, or the web for a technical question.
github: "https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/external-context"
language: TypeScript
stars: 38536
forks: 3462
install: "npx degit https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/external-context ~/.claude/skills/external-context"
installs_to: ~/.claude/skills/external-context
source_path: skills/external-context/SKILL.md
collection_size: 25
category_size: 2451
collection_url: "https://dirskills.com/collections/Yeachan-Heo/oh-my-claudecode"
added: 2026-08-13T07:37:15.650Z
last_synced: 2026-08-13T07:37:15.650Z
canonical_url: "https://dirskills.com/skills/external-context"
---

# External Context

External Context decomposes a query into parallel search facets and invokes document-specialist agents to fetch external documentation, references, and context with citations. Use it when you need up-to-date information from official docs, blogs, or the web for a technical question.

**Install:**

```bash
npx degit https://github.com/Yeachan-Heo/oh-my-claudecode/tree/main/skills/external-context ~/.claude/skills/external-context
```

## README

# External Context Skill

Fetch external documentation, references, and context for a query. Decomposes into 2-5 facets and spawns parallel document-specialist Claude agents.

## Usage

```
/oh-my-claudecode:external-context <topic or question>
```

### Examples

```
/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
```

## Protocol

### Step 1: Facet Decomposition

Given a query, decompose into 2-5 independent search facets:

```markdown
## 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>
...
```

### Step 2: Parallel Agent Invocation

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.

### Step 3: Synthesis Output Format

Present synthesized results in this format:

```markdown
## 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)
```

## Configuration

- Maximum 5 parallel document-specialist agents
- No magic keyword trigger - explicit invocation only