By VoltAgent
Perform end-to-end research workflows: market analysis, competitor benchmarking, trend detection, data validation, and idea vetting. A team of specialized agents retrieves and synthesizes information from web, files, and scientific literature to deliver actionable insights and strategic recommendations.
Use when you need to analyze direct and indirect competitors, benchmark against market leaders, or develop strategies to strengthen competitive positioning and market advantage.
Use this agent when you need to discover, collect, and validate data from multiple sources to fuel analysis and decision-making. Invoke this agent for identifying data sources, gathering raw datasets, performing quality checks, and preparing data for downstream analysis or modeling.
Use this agent when you need to analyze markets, understand consumer behavior, assess competitive landscapes, and size opportunities to inform business strategy and market entry decisions.
Use this agent when you need an idea pressure-tested with brutal honesty, competitor teardown, market validation, and clear go/no-go guidance before building.
Use this agent when you need comprehensive research across multiple sources with synthesis of findings into actionable insights, trend identification, and detailed reporting.
Uses power tools
Uses Bash, Write, or Edit tools
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This repository serves as the definitive collection of Claude Code subagents, specialized AI assitants designed for specific development tasks.
claude plugin marketplace add VoltAgent/awesome-claude-code-subagents
claude plugin install <plugin-name>
Examples:
claude plugin install voltagent-lang # Language specialists
claude plugin install voltagent-infra # Infrastructure & DevOps
See Categories below for all available plugins.
Note: The
voltagent-metaorchestration agents work best when other categories installed.
~/.claude/agents/ for global access.claude/agents/ for project-specific usegit clone https://github.com/VoltAgent/awesome-claude-code-subagents.git
cd awesome-claude-code-subagents
./install-agents.sh
This interactive script lets you browse categories, select agents, and install/uninstall them with a single command.
curl -sO https://raw.githubusercontent.com/VoltAgent/awesome-claude-code-subagents/main/install-agents.sh
chmod +x install-agents.sh
./install-agents.sh
Downloads agents directly from GitHub without cloning the repository. Requires curl.
curl -s https://raw.githubusercontent.com/VoltAgent/awesome-claude-code-subagents/main/categories/09-meta-orchestration/agent-installer.md -o ~/.claude/agents/agent-installer.md
Then in Claude Code: "Use the agent-installer to show me available categories" or "Find PHP agents and install php-pro globally".
Plugin: voltagent-core-dev
Essential development subagents for everyday coding tasks.
npx claudepluginhub voltagent/awesome-claude-code-subagents --plugin voltagent-researchEssential development subagents for everyday coding tasks - backend, frontend, fullstack, mobile, and API design
Agent coordination and meta-programming - multi-agent orchestration, workflow automation. Works best with other voltagent plugins installed.
Tooling and developer productivity experts - CLI tools, documentation, README generation, and DX optimization
Product, legal, and business specialists - product strategy, licensing, project management, UX research
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
Comprehensive market research for any product or business idea across Web, Reddit, and X. Validate the problem, size the market, map competition, profile the customer, and produce a cited markdown report. No API keys required.
Autonomous, personalized research loops for Claude Code. Set a topic, walk away, come back to a quality-gated report adapted to your projects.
Use this agent when you need to identify market opportunities, analyze trending topics, research viral content, or understand emerging user behaviors. This agent specializes in finding product opportunities from TikTok trends, App Store patterns, and social media virality. Examples:\n\n<example>\nContext: Looking for new app ideas based on current trends\nuser: "What's trending on TikTok that we could build an app around?"\nassistant: "I'll research current TikTok trends that have app potential. Let me use the trend-researcher agent to analyze viral content and identify opportunities."\n<commentary>\nWhen seeking new product ideas, the trend-researcher can identify viral trends with commercial potential.\n</commentary>\n</example>\n\n<example>\nContext: Validating a product concept against market trends\nuser: "Is there market demand for an app that helps introverts network?"\nassistant: "Let me validate this concept against current market trends. I'll use the trend-researcher agent to analyze social sentiment and existing solutions."\n<commentary>\nBefore building, validate ideas against real market signals and user behavior patterns.\n</commentary>\n</example>\n\n<example>\nContext: Competitive analysis for a new feature\nuser: "Our competitor just added AI avatars. Should we care?"\nassistant: "I'll analyze the market impact and user reception of AI avatars. Let me use the trend-researcher agent to assess this feature's traction."\n<commentary>\nCompetitive features need trend analysis to determine if they're fleeting or fundamental.\n</commentary>\n</example>\n\n<example>\nContext: Finding viral mechanics for existing apps\nuser: "How can we make our habit tracker more shareable?"\nassistant: "I'll research viral sharing mechanics in successful apps. Let me use the trend-researcher agent to identify patterns we can adapt."\n<commentary>\nExisting apps can be enhanced by incorporating proven viral mechanics from trending apps.\n</commentary>\n</example>
Structured deep research methodology for Claude Code — query decomposition, parallel web research with source verification, hallucination prevention, and synthesis into well-sourced documents
研究分析方法論
Strategic research thinking agents — idea evaluation, project triage, and structured brainstorming inspired by Carlini's research methodology