Skill

Execute Deep Parallel Research

A multi-agent research skill orchestrating 10 agents in parallel for deep, synthesized research on a topic.

Works with github

77
Spark score
out of 100
Updated last month
Version 13.1.1

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Why it matters

Leverage a team of 10 agents to conduct extensive, parallelized research on any given topic. This skill is designed to gather and synthesize information more efficiently than traditional linear research methods.

Outcomes

What it gets done

01

Orchestrate multi-agent research execution

02

Conduct deep research in parallel

03

Gather and synthesize information efficiently

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-infinite-gratitude | bash

Overview

Infinite Gratitude

A multi-agent research skill that orchestrates 10 agents in parallel for deep, synthesized research on a topic. Use it when a topic needs extensive, parallelized research across multiple agents rather than a single linear process.

What it does

Infinite Gratitude is a multi-agent research skill that orchestrates 10 agents to conduct parallel, deep research on a topic, described as battle-tested with real case studies. It installs via:

git clone https://github.com/sstklen/infinite-gratitude

When to use - and when NOT to

Use this skill when you need extensive, parallelized research on a topic - leveraging multiple agents to gather and synthesize information faster than a single linear research process. It is an external skill: usage and installation instructions live in the official repository rather than being detailed here, so consult that repo directly rather than expecting a self-contained walkthrough in this description.

Inputs and outputs

Input is a research topic; output is synthesized research gathered by 10 parallel agents working the topic simultaneously rather than one agent working sequentially.

Who it's for

Researchers and teams who want to parallelize a research task across 10 agents instead of running it through a single linear process, and are willing to consult the external repository for installation and usage details.

FAQ

Common questions

Discussion

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