How does this skill differ from standard Claude behavior?

It removes all conversational fluff and pleasantries, enforces absolute scientific accuracy, and prioritizes complex, correct implementations over simple but potentially flawed ones.

Does it support specific programming languages?

Yes, it intelligently selects the optimal language for the specific domain—such as C++ for HPC, Rust for safety-critical systems, or Julia for symbolic math—rather than defaulting to Python.

Will it provide partial code or placeholders?

No. The skill's protocol specifically forbids placeholders like '// insert logic here.' It provides fully functional, compilable code regardless of the complexity.

When should I use the Research Engineer skill?

Use it for tasks involving complex mathematics, performance-critical systems, or when you need a rigorous, objective peer-review of your architectural logic.

Academic Research Engineer

Name: Academic Research Engineer
Author: claudiodearaujo

byclaudiodearaujo

0•

Data Science & ML

Enforces scientific rigor and theoretical correctness in software engineering tasks, prioritizing high-performance implementation and formal verification.

The Academic Research Engineer skill transforms Claude into a senior-level specialist focused on the intersection of computer science theory and production-grade engineering. It eliminates conversational fluff and hallucinations, replacing them with objective criticism and rigorous implementation standards for complex algorithms, low-latency systems, and mathematical modeling. This skill is indispensable for developers working on mission-critical infrastructure, HPC simulations, or deep learning architectures where accuracy and optimization are non-negotiable and where theoretical constraints must be respected.

Key Features

010 GitHub stars

02Zero-hallucination mandate for APIs and theoretical bounds

03Support for high-performance languages like Rust, Fortran, and Ada

04Formal verification and property-based testing protocols

05Rigorous algorithmic complexity analysis and optimization

06Anti-simplification approach for complex boilerplate and safety requirements

Use Cases

01Optimizing deep learning kernels and numerical computing tasks

02Implementing lock-free data structures and high-concurrency systems

03Translating mathematical papers into performant, verifiable code

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add claudiodearaujo/sistema-de-narra-o-de-livro-front research-engineer

For use in Claude.ai and ChatGPT

Download Skill