6.7k★by mvanhorn
parallel – OpenClaw Skill
parallel is an OpenClaw Skills integration for coding workflows. High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
Skill Snapshot
| name | parallel |
| description | High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. OpenClaw Skills integration. |
| owner | mvanhorn |
| repository | mvanhorn/parallel |
| language | Markdown |
| license | MIT |
| topics | |
| security | L1 |
| install | openclaw add @mvanhorn/parallel |
| last updated | Feb 7, 2026 |
Maintainer

name: parallel description: High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. triggers:
- parallel
- deep search
- research metadata: clawdbot: emoji: "🔬"
Parallel.ai 🔬
High-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks.
Setup
pip install parallel-web
API key is configured. Uses Python SDK.
from parallel import Parallel
client = Parallel(api_key="YOUR_KEY")
response = client.beta.search(
mode="one-shot",
max_results=10,
objective="your query"
)
Quick Usage
# Search with Python SDK
python3 {baseDir}/scripts/search.py "Who is the CEO of Anthropic?" --max-results 5
# JSON output
python3 {baseDir}/scripts/search.py "latest AI news" --json
Response Format
Returns structured results with:
search_id- unique search identifierresults[]- array of results with:url- source URLtitle- page titleexcerpts[]- relevant text excerptspublish_date- when available
usage- API usage stats
When to Use
- Deep research requiring cross-referenced facts
- Company/person research with citations
- Fact-checking with evidence-based outputs
- Complex queries that need multi-hop reasoning
- Higher accuracy than traditional search for research tasks
API Reference
Docs: https://docs.parallel.ai Platform: https://platform.parallel.ai
No README available.
Permissions & Security
Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.
Requirements
- OpenClaw CLI installed and configured.
- Language: Markdown
- License: MIT
- Topics:
FAQ
How do I install parallel?
Run openclaw add @mvanhorn/parallel in your terminal. This installs parallel into your OpenClaw Skills catalog.
Does this skill run locally or in the cloud?
OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.
Where can I verify the source code?
The source repository is available at https://github.com/openclaw/skills/tree/main/skills/mvanhorn/parallel. Review commits and README documentation before installing.
