Reflexive-Claude-Code

🥈Silver

@wayne930242

A skills-driven Agentic Context Engineering workflow for Claude Code.

1520Updated Today

Intermediate30min to implementautomation

Saves ~80 min per use

Quick InstallView Source

git clone https://github.com/wayne930242/Reflexive-Claude-Code.git

Works with:

Claude

Overview

About This Skill

A skills-driven Agentic Context Engineering workflow for Claude Code.

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/wayne930242/Reflexive-Claude-Code

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I'm building a [PROJECT_TYPE] for [COMPANY] in the [INDUSTRY] sector. I need to create a workflow that automates [SPECIFIC_TASK]. Here's the context: [CONTEXT]. Can you generate a skills-driven Agentic Context Engineering workflow for Claude Code that includes: 1) Skill identification, 2) Context engineering, 3) Agentic execution, and 4) Continuous improvement. Make it specific to this use case.

Example Output

## Skills-Driven Agentic Context Engineering Workflow for [PROJECT_TYPE] Automation

### 1. Skill Identification
- **Primary Skills**: Data processing, API integration, error handling
- **Supporting Skills**: Data validation, logging, notification systems
- **Contextual Skills**: Industry-specific compliance, data security protocols

### 2. Context Engineering
- **Initial Context**: [CONTEXT]
- **Expanded Context**:
  - Data sources: [DATA_SOURCE_1], [DATA_SOURCE_2]
  - Integration points: [API_1], [API_2]
  - Compliance requirements: [REGULATION_1], [REGULATION_2]

### 3. Agentic Execution
- **Agent 1**: Data Collection Agent
  - Responsibilities: Gather data from [DATA_SOURCE_1] and [DATA_SOURCE_2]
  - Tools: Python scripts, API connectors
- **Agent 2**: Data Processing Agent
  - Responsibilities: Clean, validate, and transform data
  - Tools: Pandas, custom validation scripts
- **Agent 3**: Integration Agent
  - Responsibilities: Integrate processed data with [API_1] and [API_2]
  - Tools: API clients, middleware

### 4. Continuous Improvement
- **Feedback Loop**: Implement a feedback mechanism to capture user inputs and system errors
- **Iterative Updates**: Schedule regular updates based on feedback and system performance metrics
- **Documentation**: Maintain up-to-date documentation for all agents and workflows