A specialized protocol enabling AI agents to invoke local JavaScript functions using native template literal syntax.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install js-literals-protocol
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 js-literals-protocol 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 JavaScript Literals Protocol?
The JavaScript Literals Protocol is a sophisticated communication layer designed for Openclaw Skills that bridges the gap between Large Language Models and local code execution. By leveraging JavaScript's native tag function mechanism, this protocol allows LLMs to call tools using backtick syntax, providing a more intuitive and structurally sound way for AI agents to interact with programming environments compared to standard JSON-based tool calling. This approach ensures that developers can build highly integrated agentic workflows that feel like native parts of the codebase.
JavaScript Literals Protocol Use Cases
- Calling complex local utility functions directly from an AI prompt
- Implementing type-safe tool interactions within JavaScript-based AI agent workflows
- Streamlining multi-parameter function calls using natural string-interpolation patterns
- Building self-documenting agent tools that leverage Openclaw Skills architecture
How JavaScript Literals Protocol Works
- The developer defines a JavaScript tag function that processes template strings and expressions as the core logic for the tool.
- The AI agent is configured with knowledge of the specific tag functions available within the local environment.
- When a tool call is required to complete a task, the LLM generates a JavaScript template literal string starting with the tool name.
- The system runtime executes the tag function, passing in the static strings and the evaluated interpolated variables.
- The resulting output is processed and returned to the agent, enabling it to continue the interaction based on real-world data.
JavaScript Literals Protocol Setup
To implement this within your environment, ensure your Openclaw Skills configuration supports JavaScript runtimes. Define your tool as a tag function in your local script:
function myTool(strings, ...values) {
// Implement tool logic here
return `Processed: ${values.join(', ')}`;
}
Configure your system prompts to instruct the LLM to use the myTool prefix followed by a backtick-wrapped template for all relevant operations.
JavaScript Literals Protocol Data Schema & Taxonomy
The protocol organizes data through standard JavaScript argument structures for tag functions to maintain compatibility across Openclaw Skills implementations:
| Component | Type | Description |
|---|---|---|
| strings | Array | Static text fragments located between the template expressions. |
| ...expressions | Array | The evaluated values passed into the template placeholders. |
| return | string/any | The processed result sent back to the LLM agent for context. |
This schema ensures that data flows predictably between the model and the local execution environment.
JavaScript Literals Protocol Advanced Features
- Native support for complex object interpolation via placeholder logic
- Support for multi-parameter tool calls without complex JSON nesting
- Direct integration with modern JavaScript runtimes for high-performance tool execution
- Extensible tag function architecture allowing for middleware and logging hooks
SKILL.md
Loading
Related Openclaw Skills
Electron Security Audit
A professional-grade security auditing toolkit designed to systematically discover and verify high-risk vulnerabilities in Electron-based desktop applications.
CSTCloud Web Search
A specialized web search integration for Openclaw Skills that leverages the China Science and Technology Cloud API for stable, localized results.
Open Source Analysis Skill
A specialized tool for analyzing GitHub repositories to generate structured technical reports, including tech stack identification and project health ratings.
Claude Companion
A sophisticated virtual pet system for AI agents featuring 73+ species, real-time metabolic tracking, and permanent death mechanics.
OOP Coding Standards
A language-agnostic framework for enforcing professional object-oriented programming standards and engineering best practices.
Keepa Amazon Product History Tracker
A specialized tool for retrieving and analyzing Amazon historical time-series data including price, sales rank, and seller metrics via Keepa.
Featured*
