Does this skill require any local dependencies?

Yes, this skill requires 'curl' and 'jq' to be installed on your local machine to handle the data fetching and parsing.

How does the skill access my Qlerify credentials?

The skill is designed to automatically read your API key and URL from your local Claude configuration file (~/.claude.json) to authenticate requests safely.

What file formats can I export using this skill?

You can export data into various formats including JSON for workflows and entity schemas, and YAML for OpenAPI/Swagger specifications.

Why should I use this skill instead of standard MCP tools?

Standard MCP tools process data through the AI context window, which can take minutes and hit token limits for large datasets. This skill uses shell pipes (curl + jq) to transfer data in seconds.

Is there a limit to the size of the data I can download?

No, because it bypasses the AI context and writes directly to disk, it can handle much larger datasets than standard AI-integrated tools.

Qlerify High-Speed Data Export

Name: Qlerify High-Speed Data Export
Author: Qlerify

byQlerify

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API 개발

Bypasses AI processing to download large Qlerify datasets and OpenAPI specifications up to 100x faster using shell commands.

This skill optimizes the process of retrieving large data structures from Qlerify by utilizing direct shell commands via curl and jq instead of standard Model Context Protocol (MCP) tool responses. By routing data directly to local files, it eliminates the latency and context-window constraints associated with AI-processed transfers. It is an essential utility for developers needing to export full workflows, complex entity schemas, or production-ready OpenAPI specifications quickly and reliably without the overhead of LLM processing.

주요 기능

016 GitHub stars

02High-speed data retrieval using curl and jq shell pipes

03Automated credential retrieval from local MCP configurations

04Direct export of large Qlerify workflows to local JSON files

05Instant generation and storage of OpenAPI/Swagger YAML specifications

06Precise extraction of domain events and entity schemas from models

사용 사례

01Generating and saving API documentation directly from Qlerify models to a local directory

02Backing up complex project schemas and domain events to local developer environments

03Exporting massive architectural workflows for offline documentation or version control

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add qlerify/qlerify-plugins download

For use in Claude.ai and ChatGPT

Download Skill