external-context
Invoke parallel document-specialist agents for external web searches and documentation lookup
Best use case
external-context is best used when you need a repeatable AI agent workflow instead of a one-off prompt. It is especially useful for teams working in multi. Invoke parallel document-specialist agents for external web searches and documentation lookup
Invoke parallel document-specialist agents for external web searches and documentation lookup
Users should expect a more consistent workflow output, faster repeated execution, and less time spent rewriting prompts from scratch.
Practical example
Example input
Use the "external-context" skill to help with this workflow task. Context: Invoke parallel document-specialist agents for external web searches and documentation lookup
Example output
A structured workflow result with clearer steps, more consistent formatting, and an output that is easier to reuse in the next run.
When to use this skill
- Use this skill when you want a reusable workflow rather than writing the same prompt again and again.
When not to use this skill
- Do not use this when you only need a one-off answer and do not need a reusable workflow.
- Do not use it if you cannot install or maintain the related files, repository context, or supporting tools.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/external-context/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How external-context Compares
| Feature / Agent | external-context | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Invoke parallel document-specialist agents for external web searches and documentation lookup
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# 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
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