web-research
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
Skill by bharathrajp14
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/bharathrajp14-web-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
Use cases: research
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What's inside
- Skill name
web-research- Description
- Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
- License
- MIT
- Instructions
- 99 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Web Research Skill This skill provides a structured approach to conducting comprehensive web research using the `task` tool to spawn research subagents. It emphasizes planning, efficient delegation, and systematic synthesis of findings. ## When to Use This Skill Use this skill when you need to: - Research complex topics requiring multiple information sources - Gather and synthesize current information from the web - Conduct comparative analysis across multiple subjects - Produce well-sourced research reports with clear citations ## Research Process ### Step 1: Create and Save Research Plan Before delegating to subagents, you MUST: 1. **Create a research folder** - Organize all research files in a dedicated folder relative to the current working directory: ``` mkdir research_[topic_name] ``` This keeps files organized and prevents clutter in the working directory. 2. **Analyze the research question** - Break it down into distinct, non-overlapping subtopics 3. **Write a research plan file** - Use the `write_file` tool to create `research_[topic_name]/research_plan.md` containing: - The main research question - 2-5 specific subtopics to investigate - Expected information from each subtopic - How results will be synthesized **Planning Guidelines:** - **Simple fact-finding**: 1-2 subtopics - **Comparative analysis**: 1 subtopic per comparison element (max 3) - **Complex investigations**: 3-5 subtopics ### Step 2: Delegate to Research Subagents For each subtopic in your plan: 1. **Use the `task` tool** to spawn a research subagent with: - Clear, specific research question (no acronyms) - Instructions to write findings to a file: `research_[topic_name]/findings_[subtopic].md` - Budget: 3-5 web searches maximum 2. **Run up to 3 subagents in parallel** for efficient research **Subagent Instructions Template:** ``` Research [SPECIFIC TOPIC]. Use the web_search tool to gather information. After completing your research, use write_file to save your findings to research_[topic_name]/findings_[subtopic].md. Include key facts, relevant quotes, and source URLs. Use 3-5 web searches maximum. ``` ### Step 3: Synthesize Findings After all subagents complete: 1. **Review the findings files** that were saved locally: - First run `list_files research_[topic_name]` to see what files were created - Then use `read_file` with the **file paths** (e.g., `research_[topic_name]/findings_*.md`) - **Important**: Use `read_file` for LOCAL files only, not URLs 2. **Synthesize the information** - Create a comprehensive response that: - Directly answers the original question - Integrates insights from all subtopics - Cites specific sources with URLs (from the findings files) - Identifies any gaps or limitations 3. **Write final report** (optional) - Use `write_file` to create `research_[topic_name]/research_report.md` if requested **Note**: If you need to fetch additional information from URLs, use the `fetch_url` tool, not `read_file`. ## Available Tools You have access to: - **write_file**: Save research plans and findings to local files - **read_file**: Read local files (e.g., findings saved by subagents) - **list_files**: See what local files exist in a directory - **fetch_url**: Fetch content from URLs and convert to markdown (use this for web pages, not read_file) - **task**: Spawn research subagents with web_search access ## Research Subagent Configuration Each subagent you spawn will have access to: - **web_search**: Search the web using Tavily (parameters: query, max_results, topic, include_raw_content) - **write_file**: Save their findings to the filesystem ## Best Practices - **Plan before delegating** - Always write research_plan.md first - **Clear subtopics** - Ensure each subagent has distinct, non-overlapping scope - **File-based communication** - Have subagents save findings to files, not return them directly - **Systematic synthesis** - Read all findings files before creating final response - **Stop appropriately** - Don't over-research; 3-5 searches per subtopic is usually sufficient
From bharathrajp14/myai, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Apr 12, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/bharathrajp14/myai
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
web-research skill. Agent Mart. https://agentmart.dev/skills/bharathrajp14-web-research (last updated 2026-10-24)