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Parallel 1.0.1

High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.

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High Signal

High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.

โฌ‡ 0 downloads โ˜… 0 stars Unverified but indexed

Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/parallel.sh, scripts/search.py

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

Parallel.ai ๐Ÿ”ฌ

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

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Scripts1 Docs
  • SKILL.md Primary doc
  • scripts/parallel.sh Scripts
  • scripts/search.py Scripts