A high-performance research agent that automates bilingual web searches and synthesizes complex information into cited, structured reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install deep-research-executor
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install deep-research-executor using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Deep Research Executor?
The Deep Research Executor is a specialized skill designed for users who require exhaustive investigative depth. It operates on a search-first methodology, ensuring that it never relies on stale data or limited perspectives. By enforcing a mandatory bilingual search protocol (English and Chinese), the agent captures a global context that mono-lingual tools often miss.
This skill is built for technical accuracy and thoroughness. It doesn't just scrape data; it analyzes sources, tracks citations meticulously, and progressively builds a comprehensive report. Whether you are conducting market analysis or technical deep-dives, this contribution to your Openclaw Skills library ensures your intelligence gathering is both automated and authoritative.
Deep Research Executor Use Cases
- Conducting global market research that requires insights from both Western and Asian markets.
- Performing technical due diligence or literature reviews where diverse documentation sources are critical.
- Automating the creation of whitepapers or industry reports with integrated citation management.
- Filling information gaps in existing datasets by triggering dynamic, targeted search iterations.
How Deep Research Executor Works
- Plan Acquisition: The agent reads a structured JSON research plan to define scope, specific questions, and report depth.
- Bilingual Search Execution: It formulates and executes search queries in both English and Chinese to maximize source diversity.
- Source Analysis: Promising URLs are processed via sub-agents to extract relevant data while avoiding duplicate content.
- Progressive Synthesis: The report is generated incrementally during the search process, refining the outline as new information is discovered.
- Indexing: Upon completion, the final report is saved to a timestamped file and automatically indexed for easy retrieval.
Deep Research Executor Setup
To integrate this into your environment, ensure your agent has access to web search tools and follow these steps:
# Install the deep-research-executor skill
openclaw install deep-research-executor
# Configure your research directory
mkdir -p research/reports
Ensure your config.json includes the necessary search API keys to enable the bilingual search capabilities of these Openclaw Skills.
Deep Research Executor Data Schema & Taxonomy
The skill organizes its output using a standardized file naming convention and directory structure:
| Component | Format/Path | Description |
|---|---|---|
| Report Directory | report/ |
The central storage for all generated findings. |
| Filename | ds_{title}_{timestamp}.md |
Standardized snake_case naming for version control. |
| Index File | index.md |
A master list of all research reports generated. |
| Citations | [^n] |
Standardized Markdown footnotes for source verification. |
Deep Research Executor Advanced Features
- Dynamic Discovery: Automatically identifies information gaps and triggers secondary, targeted searches to fill them.
- Bilingual Protocol Enforcement: Hard-coded logic to translate and search in multiple languages when the primary query is non-English.
- Sub-agent Orchestration: Offloads content fetching and analysis to sub-agents for parallel processing and higher efficiency.
- Simultaneous Reporting: Real-time report writing that evolves as search results come in, rather than waiting for all searches to finish.
SKILL.md
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