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SkillsMP has collected 10 skills from Yikai-Liao/symusic. Open a skill to review its source and details.
Showing 10 of 10 collected skills.
Encodes symusic's engineering taste across C++ core, nanobind bindings, and Python-facing APIs. Use when implementing or reviewing features to preserve performance-first architecture and ergonomic, predictable interfaces.
Decision framework for selecting and evolving third-party dependencies in symusic across C++, Python packaging, bindings, testing, and docs.
Analyzes code diffs and files to identify bugs, security vulnerabilities (SQL injection, XSS, insecure deserialization), code smells, N+1 queries, naming issues, and architectural concerns, then produces a structured review report with prioritized, actionable…
Writes, optimizes, and debugs C++ applications using modern C++20/23 features, template metaprogramming, and high-performance systems techniques. Use when building or refactoring C++ code requiring concepts, ranges, coroutines, SIMD optimization, or careful…
Parses error messages, traces execution flow through stack traces, correlates log entries to identify failure points, and applies systematic hypothesis-driven methodology to isolate and resolve bugs. Use when investigating errors, analyzing stack traces,…
Creates Dockerfiles, configures CI/CD pipelines, writes Kubernetes manifests, and generates Terraform/Pulumi infrastructure templates. Handles deployment automation, GitOps configuration, incident response runbooks, and internal developer platform tooling.…
Configure and use automated code quality tools (ruff, mypy, pre-commit) for scientific Python projects. Covers linting rules, type checking configuration, formatting, and CI integration.
Create and publish distributable scientific Python packages following Scientific Python community best practices. Covers pyproject.toml, src layout, Hatchling, metadata, CLI entry points, and PyPI publishing.
Write and organize tests for scientific Python packages using pytest. Covers fixtures, parametrization, numerical testing with NumPy utilities, property-based testing with Hypothesis, and CI integration.
Set up and maintain documentation for scientific Python packages. Covers Sphinx, MkDocs, NumPy-style docstrings, Diataxis framework, accessibility standards, and documentation hosting with Read the Docs.