How do I install the Parallel skill?

Run npx skillmds@latest add dvcrn/parallel in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Parallel safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Parallel?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Parallel free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Parallel?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Parallel by dvcrn — Agent Skill

Name: Parallel
Rating: 4.2 (5 reviews)
Author: dvcrn

File contents

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",  # or "fast" for lower latency/cost, "agentic" for multi-hop
    max_results=10,
    objective="your query"
)

Modes

Mode	Use Case	Tradeoff
`one-shot`	Default, balanced accuracy	Best for most queries
`fast` ⚡	Quick lookups, cost-sensitive	Lower latency/cost, may sacrifice some accuracy
`agentic`	Complex multi-hop research	Higher 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 ⚡
{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

---name: paralleldescription: High-accuracy web search and research via Parallel.ai API. Optimized for AI agents with rich excerpts and citations. Supports agentic mode for token-efficient multi-step reasoning.---# Parallel.ai 🔬High-accuracy web search API built for AI agents. Outperforms Perplexity/Exa on research benchmarks.## Setup```bashpip install parallel-web```API key is configured. Uses Python SDK.```pythonfrom parallel import Parallelclient = 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| Mode | Use Case | Tradeoff ||------|----------|----------|| `one-shot` | Default, balanced accuracy | Best for most queries || `fast` ⚡ | Quick lookups, cost-sensitive | Lower latency/cost, may sacrifice some accuracy || `agentic` | Complex multi-hop research | Higher accuracy, more expensive |## Quick Usage```bash# 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 ⚡{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 FormatReturns 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 ReferenceDocs: https://docs.parallel.aiPlatform: https://platform.parallel.ai

Frequently asked questions

Parallel