Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Developer Tools
Parallel AI Skill
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
skill openclawclawhub Free
High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations.
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- .gitignore, README.md, SKILL.md, scripts/extract.py, scripts/findall.py, scripts/monitor.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.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- 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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- joelchance
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Parallel.ai π¬
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", # or "fast" for lower latency/cost, "agentic" for multi-hop max_results=10, objective="your query" )
Modes
ModeUse CaseTradeoffone-shotDefault, balanced accuracyBest for most queriesfast β‘Quick lookups, cost-sensitiveLower latency/cost, may sacrifice some accuracyagenticComplex multi-hop researchHigher accuracy, more expensive
Quick Usage
# Default search (one-shot mode) {baseDir}/.venv/bin/python {baseDir}/scripts/search.py "Who is the CEO of Anthropic?" --max-results 5 # Fast mode - lower latency/cost β‘ {baseDir}/.venv/bin/python {baseDir}/scripts/search.py "latest AI news" --mode fast # Agentic mode - complex research {baseDir}/.venv/bin/python {baseDir}/scripts/search.py "compare transformer architectures" --mode agentic # JSON output {baseDir}/.venv/bin/python {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
3 Scripts2 Docs1 Files
- SKILL.md
- README.md
- scripts/extract.py
- scripts/findall.py
- scripts/monitor.py
- .gitignore