What does the CareerCopilot Agent Scaffolder create?

It generates a new Python file in the 'src/agents/' directory based on a standardized template designed for autonomous AI tasks like job matching and resume analysis.

Can I customize the agent template used by this skill?

Yes, the skill reads from a template file located at '.claude/skills/careercopilot-agent-scaffolder/templates/agent.py.tpl' which can be modified to fit your specific needs.

Does this skill handle the logic of the agent?

It provides the scaffold and boilerplate structure; the developer is responsible for implementing the specific domain logic inside the generated Python file.

How do I trigger the scaffolding process?

You can trigger it by asking Claude Code to create a new AI agent or automation component within a project that has this skill enabled.

CareerCopilot Agent Scaffolder

Name: CareerCopilot Agent Scaffolder
Author: okgoogle13

byokgoogle13

•

Ciencia de Datos y ML

Automates the creation of standardized Python-based AI agents for autonomous career-focused tasks.

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The CareerCopilot Agent Scaffolder streamlines the development of autonomous AI components by generating boilerplate code for specialized tasks like resume analysis, job matching, and KSC generation. By utilizing predefined templates and interactive prompts, it ensures that all new agents follow a consistent architecture within the CareerCopilot ecosystem, significantly reducing manual setup time and ensuring structural integrity across the codebase.

Características Principales

Interactive naming and placeholder replacement
1 GitHub stars
Automated file creation in specialized directory structures
Rapid prototyping for complex career automation tasks
Template-driven Python agent generation
Standardized architecture for autonomous AI components

Casos de Uso

Building an automated job matching component for recruitment platforms
Generating a new resume analysis agent to process applicant data
Creating specialized agents for Key Selection Criteria (KSC) generation

Acerca de

Características Principales

Interactive naming and placeholder replacement
1 GitHub stars
Automated file creation in specialized directory structures
Rapid prototyping for complex career automation tasks
Template-driven Python agent generation
Standardized architecture for autonomous AI components

Casos de Uso

Building an automated job matching component for recruitment platforms
Generating a new resume analysis agent to process applicant data
Creating specialized agents for Key Selection Criteria (KSC) generation