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parallel-research平行研究

Agent Skill

parallel-research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

4,668

周安装

187

GitHub Stars

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下载量

1,511
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:parallel-research(平行研究)
来源仓库:https://github.com/casper-studios/casper-marketplace
仓库路径:skills/parallel-research
安装命令:
npx skills add https://github.com/casper-studios/casper-marketplace --skill parallel-research
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/casper-studios/casper-marketplace --skill parallel-research

简介

parallel-research 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于多主题并行调研、跨领域知识整合和复杂问题拆解等研究场景。
  • 通过 GitHub 仓库安装,使用 npx skills add 命令添加指定技能。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Parallel Research

Overview

Deep web research, competitive intelligence, entity discovery, and data enrichment using Parallel AI's specialized APIs.

Quick Decision Tree

What do you need?
│
├── Quick factual answer (3-5 seconds)
│   └── Chat API ($0.005/request)
│   └── Script: scripts/parallel_research.py chat "question"
│
├── Comprehensive research report (5min-2hr)
│   └── Deep Research API ($0.30/report for ultra)
│   └── Script: scripts/parallel_research.py research "topic"
│
├── Find entities matching criteria (companies, people)
│   └── FindAll API ($0.03 + $0.10/match)
│   └── Script: scripts/parallel_research.py findall "query"
│
└── Enrich existing data (add fields to records)
    └── Task API with schema ($0.025/record for core)
    └── Script: scripts/parallel_research.py enrich data.csv

Environment Setup

# Required in .env
PARALLEL_API_KEY=your_api_key_here

Get your API key: https://platform.parallel.ai/settings/api-keys

Common Usage

Quick Q&A

python scripts/parallel_research.py chat "What is Anthropic's latest funding round?"

Deep Research Report

python scripts/parallel_research.py research "Competitive landscape of AI code editors in 2025" --processor ultra

Find Companies

python scripts/parallel_research.py findall "AI code editor companies that raised funding in 2024-2025" --limit 50

Basic Research (Simplified)

python scripts/basic_research.py "Company Name"

Vendor Selection

python scripts/vendor_selection.py "CRM software" --requirements "enterprise,API,automation"

Processor Tiers

ProcessorCost/1KLatencyBest For
lite$510-60sBasic metadata
base$1015-100sSimple research
core$251-5minCross-referenced research
pro$1002-10minExploratory research
ultra$3005-25minDeep research (recommended)
ultra-fast$3002-10minSpeed + quality

Cost Estimates

TaskAPICost
100 quick questionsChat$0.50
Market research reportDeep Research (ultra)$0.30
Find 50 competitorsFindAll (core)~$5.00
Enrich 100 leadsTask (core)$2.50

Free Tier

20,000 requests free (combined across all APIs).

Security Notes

Credential Handling

Data Privacy

  • Research queries are sent to Parallel AI servers
  • Research outputs may contain third-party company information
  • Results are stored locally in .tmp/ directory
  • Parallel AI may log queries for service improvement
  • Avoid including sensitive internal data in research queries

Access Scopes

  • API key provides full access to all research endpoints
  • No granular permission scopes available
  • Monitor usage and costs via Parallel AI dashboard

Compliance Considerations

  • Data Sources: Research pulls from public web sources
  • Citation: Always cite sources in research outputs
  • Accuracy: AI-generated research should be verified
  • Competitive Intel: Ensure competitive research complies with policies
  • Third-Party Data: Respect intellectual property of sources
  • PII in Results: Research results may contain company/individual PII
  • Data Freshness: Verify currency of time-sensitive information

Troubleshooting

Common Issues

Issue: Processor timeout

Symptoms: Request times out or returns partial results Cause: Complex query requiring more processing time than allowed Solution:

  • Use a faster processor tier (lite or base instead of ultra)
  • Simplify the research query
  • Break complex queries into multiple smaller requests
  • Increase timeout in script if configurable

Issue: Credits exhausted

Symptoms: "Insufficient credits" or quota error Cause: Account credits depleted Solution:

  • Check balance at https://platform.parallel.ai/dashboard
  • Upgrade plan or purchase additional credits
  • Use lower-cost processor tiers for less critical queries
  • Monitor usage to avoid unexpected depletion

Issue: Invalid response format

Symptoms: JSON parsing error or unexpected response structure Cause: API returned error or malformed response Solution:

  • Check query format matches API requirements
  • Retry the request (may be transient issue)
  • Verify API key is valid and active
  • Review API documentation for expected response format

Issue: Empty or irrelevant results

Symptoms: Research returns no results or off-topic content Cause: Query too narrow, ambiguous, or poorly structured Solution:

  • Broaden the search query
  • Add context to clarify query intent
  • Try different phrasing or keywords
  • Use Chat API first to validate query understanding

Issue: API authentication failed

Symptoms: "Invalid API key" or 401 error Cause: API key expired, invalid, or not set Solution:

Issue: Rate limited

Symptoms: 429 error or "rate limit exceeded" Cause: Too many concurrent requests Solution:

  • Add delays between requests
  • Reduce parallel request count
  • Implement exponential backoff
  • Contact support for higher rate limits if needed

Resources

  • references/api-guide.md - Complete API documentation
  • references/basic-research.md - Simple company research
  • references/vendor-selection.md - Vendor comparison workflow

Integration Patterns

Research to Report

Skills: parallel-research → content-generation Use case: Create polished reports from research findings Flow:

  1. Run deep research on topic/company
  2. Generate structured research output
  3. Format into branded document via content-generation

FindAll to CRM

Skills: parallel-research → attio-crm Use case: Populate CRM with discovered companies Flow:

  1. Use FindAll to discover companies matching criteria
  2. Enrich each company with additional data
  3. Create/update company records in Attio CRM

Research to Sheets

Skills: parallel-research → google-workspace Use case: Build research database in Google Sheets Flow:

  1. Run FindAll or batch research on multiple entities
  2. Structure results as tabular data
  3. Upload to Google Sheets for team collaboration

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude

32.41%
按下载量换算490

Codex

31.47%
按下载量换算476

Cursor

18.58%
按下载量换算281

Gemini CLI

9.88%
按下载量换算149

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安装前确认

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