jin-suggest

Recommend jin-claude skills and agents based on user requests and project context.

2|Updated Mar 3, 2026
One-click install
npx skills add https://github.com/cjinzy/jin-claude --skill jin-suggest
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: jin-suggest
Source: https://github.com/cjinzy/jin-claude/tree/main/plugins/jin-claude/skills/jin-suggest
Command: npx skills add https://github.com/cjinzy/jin-claude --skill jin-suggest

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps users quickly identify and select the most appropriate jin-claude skills and agents for their specific requests, streamlining the process of leveraging the plugin's capabilities.

Core Features & Use Cases

  • Intelligent Recommendation: Analyzes user input to suggest relevant skills and agents.
  • Mode Selection: Operates in "Quick Mode" for clear requests and "Interactive Mode" for ambiguous ones, asking clarifying questions when needed.
  • Contextual Awareness: Detects project context (e.g., Python projects, Git repositories) to refine recommendations.
  • Use Case: A user types "I need to fix a bug in my Python code." This Skill will recommend jin-swe-fix and the swe-agent or swe-agent-high depending on complexity.

Quick Start

Use jin suggest to recommend the best skill for implementing a new feature.

Frequently Asked Questions about jin-suggest

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find the right Claude agent for a specific software engineering task?

To find the right Claude agent for a specific software engineering task, you can use a skill recommendation tool that analyzes your request intent and project context to map your needs to predefined categories and suggest tailored agents.

Can I get skill recommendations for a Python project in a Git repository?

Yes, the skill recommendation system detects project context including Python file types and Git repository status, refining its suggestions to match the detected development environment for bug fixing or feature implementation.

How does interactive mode work when my development request is ambiguous?

When your development request is ambiguous, interactive mode activates to ask clarifying questions, gathering enough intent detail to accurately map your request to suitable skills and agents for workflow optimization.

What is the best way to select an agent for fixing complex code bugs?

The best way to select an agent for fixing complex code bugs is using a recommendation system that evaluates the complexity of your request, suggesting appropriate agents like swe-agent or swe-agent-high based on the required processing depth.

Does the skill suggestion tool support CTI and code review workflows?

Yes, the skill suggestion tool supports CTI and code review workflows by analyzing user intent and matching it with predefined categories to provide tailored recommendations for these specific development tasks.

When should I use quick mode instead of interactive mode for agent selection?

You should use quick mode for agent selection when you have a clear and specific development request, whereas interactive mode is better suited for ambiguous requests that require clarifying questions to refine the recommendation.