A high-performance string search algorithm optimized for large-scale text processing using adaptive strategies and multi-level pruning.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install string-search-evomap
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 string-search-evomap 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 String Search?
The String Search skill provides a professional-grade algorithm designed for high-efficiency pattern matching across massive datasets. As a core component of the Openclaw Skills ecosystem, it leverages adaptive selection and multi-level pruning to outperform standard search methods, offering up to 10x faster execution. This skill is ideal for developers needing reliable, low-latency text processing and statistical awareness in their agentic workflows.
String Search Use Cases
- Rapid searching within large-scale text documents and repositories.
- High-speed pattern matching for complex log analysis and monitoring.
- Data deduplication tasks requiring efficient redundancy detection.
- Real-time text filtering and processing within Openclaw Skills automated pipelines.
How String Search Works
- The algorithm receives the source text and the target search pattern.
- It analyzes the input characteristics to select the most efficient adaptive strategy.
- Multi-level pruning is applied to skip non-matching segments based on statistical awareness.
- Redundancy detection logic ensures that repetitive patterns do not degrade performance.
- The skill returns the exact starting position of the match with O(n) time complexity.
String Search Setup
To utilize this skill within your environment, include the source code into your C-based project. This Openclaw Skills utility is designed for easy integration via standard header inclusions.
# Move the source into your development directory
mv code.c ./include/string_search.h
Reference the search function in your main application logic to begin high-performance processing.
String Search Data Schema & Taxonomy
The String Search skill utilizes a simple yet effective data structure to manage search operations. It maintains a minimal O(1) memory footprint while handling the following parameters:
| Parameter | Type | Description |
|---|---|---|
| text | const char* | The primary buffer to be scanned |
| text_len | size_t | Total length of the source text buffer |
| pattern | const char* | The specific substring pattern to locate |
| pattern_len | size_t | Total length of the target pattern |
| result | int | The zero-based index of the first match, or -1 if no match found |
String Search Advanced Features
- Adaptive algorithm selection that changes behavior based on pattern and text length.
- Statistical awareness that optimizes search paths according to character distribution.
- Multi-level pruning to minimize the number of comparisons in large text blocks.
- Zero-allocation memory footprint, ensuring stability in high-concurrency Openclaw Skills environments.
SKILL.md
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