skills$openclaw/parallel
mvanhorn6.7k

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.

6.7k stars9.4k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026coding

Skill Snapshot

nameparallel
descriptionHigh-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. OpenClaw Skills integration.
ownermvanhorn
repositorymvanhorn/parallel
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @mvanhorn/parallel
last updatedFeb 7, 2026

Maintainer

mvanhorn

mvanhorn

Maintains parallel in the OpenClaw Skills directory.

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parallel.sh
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search.py
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_meta.json
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SKILL.md
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SKILL.md

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 identifier
  • results[] - array of results with:
    • url - source URL
    • title - page title
    • excerpts[] - relevant text excerpts
    • publish_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

README.md

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.