Generates structured, career-focused modular curriculums for software engineering students. Use when designing new educational modules or tailoring learning journeys to specific career roles.

2026-01-252

module-project-generator

jorgealves/agent_skills

Generates end-to-end student projects that reinforce specific modular learning objectives. Use to create professional-grade portfolio pieces and assessment tasks for engineering mentees.

2026-01-252

pedagogical-code-grader

jorgealves/agent_skills

Evaluates student code submissions based on conceptual mastery rather than just correctness. Use to provide high-quality educational feedback on architectural patterns and programming logic.

2026-01-252

pii-sanitizer

jorgealves/agent_skills

Detects and redacts Personally Identifiable Information (PII) like emails, phone numbers, and credit cards. Use when cleaning logs, datasets, or communications to comply with GDPR/CCPA privacy standards.

2026-01-252

poetry-uv-advisor

jorgealves/agent_skills

Optimize pyproject.toml and resolve complex dependency trees using modern tools like Poetry or uv. Use to modernize Python project management.

2026-01-252

prompt-injection-scanner

jorgealves/agent_skills

Audits agent skill instructions and system prompts for vulnerabilities to prompt hijacking and indirect injection. Use when designing new agent skills or before deploying agents to public environments where users provide untrusted input.

2026-01-252

name	python-performance-profiler
description	Identify CPU and memory bottlenecks in Python code using cProfile or memory_profiler. Use to optimize mission-critical Python services.

Python Performance Profiler

Purpose and Intent

Identify CPU and memory bottlenecks in Python code using cProfile or memory_profiler. Use to optimize mission-critical Python services.

When to Use

Project Setup: When initializing a new Python project.
Continuous Integration: As part of automated build and test pipelines.
Legacy Refactoring: When updating older Python codebases to modern standards.

When NOT to Use

Non-Python Projects: This tool is specialized for the Python ecosystem.

Error Conditions and Edge Cases

Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
Incompatible Versions: If the project uses a Python version not supported by the tools.

Security and Data-Handling Considerations

All analysis is performed locally.
No source code or credentials are ever transmitted externally.