Search

PythonReactSEOPDF
OpenClaw

research

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

brennerspear0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install brennerspear/parallel-ai-research

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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 expl...
    

Source information

Source
github
Repository
openclaw/skills
Path
skills/brennerspear/parallel-ai-research
Version
—
Commit
f5c65a6bb067c3d1fc48fb4518b44a9bb5ed7abc
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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:
   ```markdown
   # <Topic Title>

   > <The core question or curiosity>

   **Started:** <date>
   ```

3. **Create research.md** with the working structure:
   ```markdown
   # <Topic Title>

   **Status:** Active Research
   **Started:** <date>
   **Last Updated:** <date>

   ---

   ## Open Questions
   - <initial questions to expl...

Related skills

OpenClaw

dojo.md

edholofy

University for AI agents. 92 courses, 4400+ scenarios, any model via OpenRouter. Auto-training loops generate per-model SKILL.md documents. Works with Claude Code, OpenClaw, Cursor, Windsurf. No fine-tuning req...

OpenClaw

wps-macos-helper

lethehades

macOS WPS Office workflow helper skill for safer document preparation, conversion, export, and compatibility guidance