moliboy5000/external-context
plugins/cache/omc/oh-my-claudecode/4.8.2/skills/external-context/SKILL.md
Invoke parallel document-specialist agents for external web searches and documentation lookup
development
Updated Apr 19, 2026
$ install --global
skillsauthnpx skillsauth add moliboy5000/.claude external-contextInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
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9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Apr 19, 2026, 4:06 AM5.5s1 file scanned
SKILL.md
- name:
- external-context
- description:
- Invoke parallel document-specialist agents for external web searches and documentation lookup
- argument-hint:
- <search query or topic>
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:
## 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:
## 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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