adcwangfeng/skill-recommendation-engine

Overview

This skill is an intelligent recommendation engine that suggests the three best skill package options for a given user scenario. It streamlines the workflow by auto-generating a standardized skill package, handling secure configuration, and publishing the package to a GitHub repository. The generated package supports npx installation for quick distribution and testing.

How this skill works

Describe your scenario and the engine will probe with three targeted follow-up questions to clarify requirements. The core matcher ranks possible skill templates and returns the top three options with trade-offs and implementation notes. When you select a plan, the packager builds a standardized skill bundle, the config manager applies secure settings, and the GitHub handler creates a repository and uploads the package automatically.

When to use it

• You need a fast prototype of a new automation, integration, or communication skill.
• You want opinionated, ready-to-install skill packages for common scenarios.
• You need secure, reproducible configuration and GitHub-hosted artifacts.
• You want to onboard non-developers with npx-installable skill bundles.
• You require repeatable generation of monitoring or integration tools.

Best practices

• Provide a concise scenario description and accept follow-up questions for precision.
• Review the three recommended options and choose the one that matches your constraints.
• Run the setup_config initializer with GitHub credentials before packaging.
• Keep secrets out of generated code; use the secure config manager to inject runtime values.
• Test the npx-installed package in an isolated environment before production use.

Example use cases

• Generate an automation skill to orchestrate daily data ingestion and cleanup tasks.
• Create an integration skill that connects two internal APIs with retry and logging.
• Build a monitoring skill that reports metrics and triggers alerts to a chat channel.
• Produce a communication skill for chatbot interactions with template dialogs.
• Rapidly prototype a file-processing skill that handles uploads, transforms, and stores results.