An advanced intelligence layer for web searching that optimizes queries, aggregates multi-source results, and generates automated summaries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install enhanced-search
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 enhanced-search 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 Enhanced Search Skill?
The Enhanced Search Skill is a sophisticated upgrade built upon the base web_search tool within the Openclaw ecosystem. It transforms standard search capabilities into a comprehensive research engine by introducing query expansion, keyword extraction, and intelligent result synthesis. By leveraging this skill, developers can provide their AI agents with the ability to understand dialogue context and deliver highly relevant, summarized information instead of raw, unorganized links.
Designed as a high-performance alternative to services like Tavily Web Search, this skill is particularly valuable for environments where external hub integrations are restricted. It ensures that Openclaw Skills remain robust and self-sufficient, offering features like parallel processing and multi-level caching to maintain speed and accuracy during complex information retrieval tasks.
Enhanced Search Skill Use Cases
- Context-Aware Research: Automatically refining search queries based on previous conversation history, such as specific product models or technical specs.
- Rapid Information Synthesis: Generating concise summaries from multiple web sources to save reading time and improve agent response speed.
- Deep Technical Inquiries: Executing complex queries that require detailed source attribution and high-relevance filtering.
- Automated Workflow Integration: Using enhanced search as a reliable data gathering step within larger automated AI pipelines.
How Enhanced Search Skill Works
- Query Optimization: The skill analyzes the user input to perform keyword extraction and expansion, ensuring the search terms are optimized for the best results.
- Context Integration: It reviews the current dialogue context to merge relevant background information into the search parameters.
- Parallel Execution: Multiple search queries are executed in parallel via the underlying web_search tool to maximize coverage.
- Data Aggregation: Results from various sources are deduplicated, ranked, and organized logically.
- Summary Generation: A structured summary is created from the aggregated data, highlighting key information for the agent.
- Formatted Output: The final result is delivered in a clean, structured format ready for immediate consumption by the AI.
Enhanced Search Skill Setup
To deploy this skill into your environment, follow these steps:
# 1. Copy the skill directory to your local Openclaw skills folder
cp -r enhanced-search ~/.openclaw/workspace/skills/
# 2. Configure environment variables (Optional)
export ENHANCED_SEARCH_OPTIMIZATION=high
export ENHANCED_SEARCH_SUMMARY_LENGTH=medium
# 3. Verify the installation
openclaw skills list | grep enhanced-search
openclaw skills test enhanced-search
You can also create a configuration file at ~/.openclaw/workspace/config/enhanced-search.json to manage persistence settings like cache_ttl and max_results.
Enhanced Search Skill Data Schema & Taxonomy
The skill maintains a structured approach to data management and configuration:
| Component | Type | Description |
|---|---|---|
| Search Cache | TTL-based | Stores search results for 1 hour to reduce API overhead. |
| Optimization Cache | Persistent | Stores successful query expansions for 24 hours. |
| Config JSON | Metadata | Defines sources (web, docs, memory) and optimization levels. |
| Output Object | Structured | Contains the summary, source list, and relevance scores. |
Enhanced Search Skill Advanced Features
- Parallel Processing: Simultaneous execution of result fetching and summary generation for low-latency performance.
- Self-Improving Integration: Capability to record search patterns and optimization success when used with self-improving-agent.
- Custom Plugin System: Support for future source, optimization, and summary plugins to extend core functionality.
- Graceful Degradation: Automatic fallback to standard web_search if advanced optimization or summarization modules encounter errors.
SKILL.md
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