ClawKit Logo
ClawKitReliability Toolkit
Back to Registry
Official Verified

research

Conduct open-ended research on a topic, building a living markdown document. Supports interactive and deep research modes.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/brennerspear/research-agent
Or

Research Skill

Description

Conduct open-ended research on a topic, building a living markdown document. The conversation is ephemeral; the document is what matters.

Trigger

Activate when the user wants to:

  • Research a topic, idea, or question
  • Explore something before committing to building it
  • Investigate options, patterns, or approaches
  • Create a "research doc" or "investigation"
  • Run deep async research on a complex topic

Research Directory

Each research topic gets its own folder:

~/.openclaw/workspace/research/<topic-slug>/
├── prompt.md          # Original research question/prompt
├── research.md        # Main findings (Parallel output or interactive notes)
├── research.pdf       # PDF export (when generated)
└── ...                # Any other related files (data, images, etc.)

Two Research Modes

1. Interactive Research (default)

For topics you explore together in conversation. You search, synthesize, and update the doc in real-time.

2. Deep Research (async)

For complex topics that need comprehensive investigation. Uses the Parallel AI API via parallel-research CLI. Takes minutes to hours, returns detailed markdown reports.

When to use deep research:

  • Market analysis, competitive landscape
  • Technical deep-dives requiring extensive source gathering
  • Multi-faceted questions that benefit from parallel exploration
  • When user says "deep research" or wants comprehensive coverage

Interactive Research Workflow

1. Initialize Research

  1. Create the research folder at ~/.openclaw/workspace/research/<topic-slug>/

  2. Create prompt.md with the original question:

    # <Topic Title>
    
    > <The core question or curiosity>
    
    **Started:** <date>
    
  3. Create research.md with the working structure:

    # <Topic Title>
    
    **Status:** Active Research
    **Started:** <date>
    **Last Updated:** <date>
    
    ---
    
    ## Open Questions
    - <initial questions to explore>
    
    ## Findings
    <!-- Populated as we research -->
    
    ## Options / Approaches
    <!-- If comparing solutions -->
    
    ## Resources
    <!-- Links, references, sources -->
    
    ## Next Steps
    <!-- What to explore next, or "graduate to project" -->
    
  4. Confirm with user - Show the folder was created and ask what to explore first.

2. Research Loop

For each exchange:

  1. Do the research - Web search, fetch docs, explore code
  2. Update the document - Add findings, move answered questions, add sources
  3. Show progress - Note what was added (don't repeat everything)
  4. Prompt next direction - End with a question or suggestion

Key behaviors:

  • Update existing sections over creating new ones
  • Use bullet points for findings; prose for summaries
  • Note uncertainty ("seems like", "according to X", "unverified")
  • Link to sources whenever possible

3. Synthesis Checkpoints

Metadata

Stars4190
Views1
Updated2026-04-18
View Author Profile
AI Skill Finder

Not sure this is the right skill?

Describe what you want to build — we'll match you to the best skill from 16,000+ options.

Find the right skill
Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-brennerspear-research-agent": {
      "enabled": true,
      "auto_update": true
    }
  }
}
Safety NoteClawKit audits metadata but not runtime behavior. Use with caution.