research

Conducts comprehensive web research on any topic using search APIs and web scraping.

IndexedMIT★ 10

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/abvijaykumar-research

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Conducts comprehensive web research on any topic using search APIs and web scraping. Use when the user asks for research, information gathering, competitive analysis, or needs current data from the web.

Use cases: data, research

Reviews

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools: No tools found
Secrets: None asked for
Install scripts: None found

Network hosts it talks to 1

codeload.github.com · found in install command

Files it touches

~/.claude/skills/research

Tools it pre-approves 3

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

internet_search
Read
Write

What's inside

Skill name: research
Description: Conducts comprehensive web research on any topic using search APIs and web scraping. Use when the user asks for research, information gathering, competitive analysis, or needs current data from the web.
License: MIT
Compatibility: Requires internet access and Tavily API key
Allowed tools: internet_search, Read, Write
Instructions: 20 lines in SKILL.md · view on GitHub

Files (1)

SKILL.md

SKILL.md (first lines)

# Web Research Skill

## Overview
This skill provides structured web research capabilities. It handles breaking down complex research questions into targeted search queries and synthesizing findings.

## Instructions
1. Parse the research query to identify key topics and missing information.
2. Use the `internet_search` tool to gather initial results.
3. If results are insufficient, try alternative search queries.
4. Synthesize the findings into a clear, structured summary.
5. Save the detailed findings to the `./workspace` directory as a markdown file.

## Examples
### Input
"Research the latest developments in quantum computing"

### Expected Behavior
The agent should conduct 3-5 targeted searches, summarize the key breakthroughs (e.g., error correction, new qubit types), and write a report to `workspace/quantum_research.md`.

From abvijaykumar/deep-agents-langchain-blog, MIT.

Signals

Stars: 10
Forks: 2
Open issues: 0
Last commit (this folder): Mar 26, 2026 (7 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License: MIT
Repository: github.com/abvijaykumar/deep-agents-langchain-blog
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql