Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Data sourced from ClawHub. View on ClawSkills
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install deep-researchOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install deep-researchβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/deep-research/π‘Extract and place the folder at the path above, then restart your agent.
What deep-research can do for your AI workflow
Head-to-head comparison directly from your Claude conversation
Native Claude integration via the open Model Context Protocol (MCP)
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing deep-research
Help me get started with deep-research
Explains what deep-research does, walks through the setup, and runs a quick demo based on your current project
Use deep-research to head-to-head comparison of coding agents (Claude Code, Aider, Codex...
Invokes deep-research with the right parameters and returns the result directly in the conversation
What can I do with deep-research in my ai agent workflow?
Lists the top use cases for deep-research, with example commands for each scenario
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deep-research extends your AI assistant with the ability to head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using deep-research as its underlying capability.
deep-research integrates with Claude through the Model Context Protocol (MCP) standard. The skill is version-controlled and shareable β if you work with a team, you can commit the skill to your project repo and everyone gets the same capability without any extra setup.
Getting started with deep-research takes about two minutes. Place the skill at `~/.claude/skills/deep-research/` (personal, all projects) or `.claude/skills/deep-research/` (project-specific), then restart your AI client. From that point, typing `/deep-research` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.
deep-research is a community-contributed AI productivity skill available through DiscoverAISkills. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/deep-research/ for personal use (all projects), or .claude/skills/deep-research/ for project-specific use. Restart your AI client, then invoke with /deep-research or let the AI discover it automatically.
deep-research supports Claude. It integrates seamlessly with these AI platforms to extend their capabilities.
deep-research is free to install. Check the repository for licensing information.
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Deep Research Pro
CuratedMulti-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Deep Scraper
Performs deep scraping of complex sites like YouTube using containerized Crawlee, extracting validated, ad-free transcripts and content as JSON output.
Platforms
Automate my ai agent tasks using deep-research
Identifies repetitive steps in your workflow and sets up deep-research to handle them automatically
Deep Research
Conduct exhaustive multi-source investigation with methodology tracking, source evaluation, and iterative depth.