Rechercher

PythonReactSEOPDF
OpenClaw

research

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

brennerspear0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install brennerspear/parallel-ai-research

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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...
    

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/brennerspear/parallel-ai-research
Version
—
Commit
f5c65a6bb067c3d1fc48fb4518b44a9bb5ed7abc
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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...

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