kavin525zhang/llm_reasoning_framework/web-research
- community
Checking that the SKILL.md file is still in the repository.
Use this skill for requests related to web research; it provides a structured approach to conducting comprehensive web research
Install
npx vskill@latest install kavin525zhang/llm_reasoning_framework/web-researchSKILL.md
The same SKILL.md was published earlier as bogware/bog-agents/web-research.
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:
- 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.
- Analyze the research question - Break it down into distinct, non-overlapping subtopics
- Write a research plan file - Use the
write_filetool to createresearch_[topic_name]/research_plan.mdcontaining:
- 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:
- 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
- Run up to 3 subagents in parallel for efficient research
Subagent Instructions Template:
Step 3: Synthesize Findings
After all subagents complete:
- Review the findings files that were saved locally:
- First run
list_files research_[topic_name]to see what files were created - Then use
read_filewith the file paths (e.g.,research_[topic_name]/findings_*.md) - Important: Use
read_filefor LOCAL files only, not URLs
- 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
- Write final report (optional) - Use
write_fileto createresearch_[topic_name]/research_report.mdif 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
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingAgent/deepagents/libs/cli/examples/skills/web-research/SKILL.md
Popularity
- 7-day trend score
- 0
Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
Embed badge
[](https://verified-skill.com/skills/kavin525zhang/llm_reasoning_framework/web-research)