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Parallel Search

AI-powered web search via Parallel API. Returns ranked results with LLM-optimized excerpts. Use for up-to-date research, fact-checking, and domain-scoped searching.

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High Signal

AI-powered web search via Parallel API. Returns ranked results with LLM-optimized excerpts. Use for up-to-date research, fact-checking, and domain-scoped searching.

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

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 14 sections Open source page

Parallel Search

High-accuracy web search built for AI agents. Returns ranked results with intelligent excerpts optimized for LLM consumption.

When to Use

Trigger this skill when the user asks for: "search the web", "web search", "look up", "find online" "current news about...", "latest updates on..." "research [topic]", "what's happening with..." Fact-checking with citations needed Domain-specific searches (e.g., "search GitHub for...", "find on Reddit...")

Quick Start

parallel-cli search "your query" --json --max-results 5

Basic Usage

parallel-cli search "<objective>" [options]

Common Flags

FlagDescription-q, --query "<keyword>"Add keyword filter (repeatable, 3-8 recommended)--max-results NNumber of results (1-20, default: 10)--jsonOutput as JSON--after-date YYYY-MM-DDFilter for recent content--include-domains domain.comLimit to specific domains (repeatable, max 10)--exclude-domains domain.comExclude domains (repeatable, max 10)--excerpt-max-chars-total NLimit total excerpt size (default: 8000)

Examples

Basic search: parallel-cli search "When was the United Nations founded?" --json --max-results 5 With keyword filters: parallel-cli search "Latest developments in quantum computing" \ -q "quantum" -q "computing" -q "2026" \ --json --max-results 10 Domain-scoped search: parallel-cli search "React hooks best practices" \ --include-domains react.dev --include-domains github.com \ --json --max-results 5 Recent news only: parallel-cli search "AI regulation news" \ --after-date 2026-01-01 \ --json --max-results 10

Objective

Write 1-3 sentences describing: The real task context (why you need the info) Freshness constraints ("prefer 2026+", "latest docs") Preferred sources ("official docs", "news sites")

Keyword Queries

Add 3-8 keyword queries including: Specific terms, version numbers, error strings Common synonyms Date terms if relevant ("2026", "Jan 2026")

Response Format

Returns structured JSON with: search_id โ€” unique identifier results[] โ€” array of results: url โ€” source URL title โ€” page title excerpts[] โ€” relevant text excerpts publish_date โ€” when available

Output Handling

When turning results into a user-facing answer: Prefer official/primary sources when possible Quote or paraphrase only the relevant extracted text Include URL + publish_date for transparency If results disagree, present both and note the discrepancy

Running Out of Context?

For long conversations, save results and use sessions_spawn: parallel-cli search "<query>" --json -o /tmp/search-<topic>.json Then spawn a sub-agent: { "tool": "sessions_spawn", "task": "Read /tmp/search-<topic>.json and synthesize a summary with sources.", "label": "search-summary" }

Error Handling

Exit CodeMeaning0Success1Unexpected error (network, parse)2Invalid arguments3API error (non-2xx)

Prerequisites

Get an API key at parallel.ai Install the CLI: curl -fsSL https://parallel.ai/install.sh | bash export PARALLEL_API_KEY=your-key

References

API Docs Search API Reference

Category context

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

Source: Tencent SkillHub

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Package contents

Included in package
1 Docs
  • SKILL.md Primary doc