A comprehensive framework for designing and building production-grade search engines with optimized indexing, retrieval logic, and relevance controls.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install search-engine
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 search-engine 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 Search Engine?
The Search Engine skill empowers developers to architect, implement, and scale sophisticated search systems for any application. By focusing on the full lifecycle—from establishing a retrieval contract to managing offline experiments—this skill ensures that your search infrastructure is not just a collection of features, but a testable, reliable, and versioned system. It integrates seamlessly into the Openclaw Skills ecosystem to provide a disciplined approach to building knowledge bases, product catalogs, and documentation search.
This skill prioritizes technical truth and architectural stability, guiding users through the complexities of deterministic indexing pipelines and staged retrieval systems. Whether you are building from scratch or scaling an existing engine, it provides the necessary checklists and patterns to avoid common traps like vendor lock-in or silent relevance regressions.
Search Engine Use Cases
- Creating high-performance search for documentation or internal knowledge bases.
- Redesigning product search for e-commerce or SaaS applications to improve relevance and precision.
- Scaling search infrastructure while maintaining low latency and high data freshness.
- Implementing hybrid search strategies that combine traditional keyword matching with modern semantic retrieval.
How Search Engine Works
- Define the retrieval contract, specifying query types, latency budgets, and expected response formats.
- Establish a deterministic ingestion and indexing pipeline to handle data normalization and field extraction.
- Separate retrieval into logical stages: broad candidate recall followed by precise reranking and business rules.
- Apply versioned relevance policies to manage feature weights, typo tolerance, and synonym handling.
- Conduct offline evaluation and benchmarking to ensure quality and prevent regressions before production deployment.
- Implement idempotent index operations and safe rollback plans to ensure system reliability.
Search Engine Setup
To get started with this skill, ensure you have the environment active and follow the initialization steps.
clawhub install search-engine
On first use, read setup.md within the skill directory to establish activation behavior and system scope. You should also initialize the local memory directory:
mkdir -p ~/search-engine/
Search Engine Data Schema & Taxonomy
The skill maintains persistent context and logs within the ~/search-engine/ directory to ensure local control and privacy. The data is organized as follows:
| File | Purpose | Key Metadata |
|---|---|---|
memory.md |
Persistent Context | Active priorities, constraints, and current status. |
requirements.md |
Objectives | Retrieval goals, latency targets, and relevance expectations. |
experiments.md |
Tuning Logs | Offline experiment results and architectural decisions. |
incidents.md |
Reliability | Root cause analysis and remediation notes for production issues. |
Search Engine Advanced Features
- Multi-stage retrieval architectures for candidate selection and precise reranking.
- Versioned relevance policy tracking to ensure all tuning changes are documented and reversible.
- Idempotent index operations that allow for resumable batch jobs and safe rollbacks.
- Integration with specialized Openclaw Skills such as elasticsearch or meilisearch for production execution.
- Offline evaluation loops that use labeled datasets to measure hit quality and coverage before shipping.
SKILL.md
Loading
Related Openclaw Skills
Screenshots
A comprehensive automation skill for generating professional, device-framed, and marketing-ready mobile app screenshots for various app stores.
Scrape
A specialized framework for ethical web scraping that prioritizes robots.txt compliance, rate limiting, and data privacy laws.
SciPy
A comprehensive scientific computing toolkit for solving optimization, statistics, signal processing, and linear algebra problems with production-ready code.
Science
A versatile skill that enables AI agents to calibrate scientific communication and research support based on the user's specific level of expertise.
Seattle City Guide
A comprehensive intelligence layer for navigating Seattle as a tech professional, resident, or visitor, providing deep insights into neighborhoods, careers, and local culture.
Second Order Effects
A strategic reasoning skill that identifies hidden risks and long-term opportunities by tracing decisions through three levels of consequences.
Featured*
