Find the perfect capability for your agent.
Generate production-ready Helm charts for Kubernetes applications. Use when users need to create new Helm charts, convert Kubernetes manifests to Helm templates, scaffold charts for Deployments/StatefulSets/Jobs/CronJobs, create multi-environment configurations, or standardize organizational chart templates with CNCF/Helm best practices. Uses Python scaffolding script and template assets for automated generation.
This skill triggers when any cpython-skills skill is requested. The cpython-skills plugin has been renamed to cpython for simpler invocation.
Python development standards for code review and generation. Covers Python 3.12+ patterns, type hints, async/await, testing with pytest, package management with uv, AWS Lambda/boto3 patterns, and Pydantic validation. Use when working with .py files, pyproject.toml, requirements.txt, Lambda functions, or when asking about Python best practices, code review, or generation.
Expert code review for Python focused on correctness, maintainability, error handling, performance, and testability. Use after writing or modifying Python code, or when reviewing refactors and new features.
Use this skill when preparing commits, running pre-commit hooks, checking code style, or validating changes before pushing. Covers PEP 7 (C code) and PEP 8 (Python) compliance, trailing whitespace rules, the no-type-annotations-in-Lib policy, and patchcheck validation. Note: patchcheck requires a build directory - load the `build` skill first if you haven't built CPython yet.
Extract comment locations from code files for analysis. Use when cleaning comments, auditing code documentation, or analyzing comment patterns. Supports Python, JavaScript, TypeScript, Go, Rust, Java, C/C++, Ruby, PHP, Shell scripts. Trigger terms - comments, extract comments, code comments, comment analysis, documentation audit, comment cleanup.
Essential guidelines for writing modern, type-safe, and idiomatic Python 3 code.
Use this skill when you need to compile CPython, run tests, verify your changes work, check if a fix is correct, or debug test failures. Covers building from source with ./configure and make, ccache for faster rebuilds, Argument Clinic regeneration, and the unittest-based test system (NOT pytest). Essential for any task that requires running code or tests.
Use when integrating Rust with other languages or runtimes: extern "C" FFI, C/C++ bindings (cxx), generating bindings with bindgen/cbindgen, exposing Rust to Python (PyO3/maturin), Node.js addons (napi-rs/Node-API), WebAssembly (wasm-bindgen/wasm-pack), or generating Swift/Kotlin/Python bindings (UniFFI).
Integrates Nevermined payment infrastructure into AI agents, MCP servers, Google A2A agents, and REST APIs. Handles x402 protocol, credit billing, payment plans, and SDK integration for TypeScript (@nevermined-io/payments) and Python (payments-py).
Production incident response procedures for Python/React applications. Use when responding to production outages, investigating error spikes, diagnosing performance degradation, or conducting post-mortems. Covers severity classification (SEV1-SEV4), incident commander role, communication templates, diagnostic commands for FastAPI/ PostgreSQL/Redis, rollback procedures, and blameless post-mortem process. Does NOT cover monitoring setup (use monitoring-setup) or deployment procedures (use deployment-pipeline).
Application monitoring and observability setup for Python/React projects. Use when configuring logging, metrics collection, health checks, alerting rules, or dashboard creation. Covers structured logging with structlog, Prometheus metrics for FastAPI, health check endpoints, alert threshold design, Grafana dashboard patterns, error tracking with Sentry, and uptime monitoring. Does NOT cover incident response procedures (use incident-response) or deployment (use deployment-pipeline).
Application-side OpenTelemetry SDK setup — traces, metrics, structured logging across Node.js, Go, Python, Java, .NET, Ruby. Prescriptive guidance for resource attributes, span design, metric instrument selection, sensitive data handling, and validation.
Application-side OpenTelemetry SDK setup — traces, metrics, structured logging across Node.js, Go, Python, Java, .NET, Ruby. Prescriptive guidance for resource attributes, span design, metric instrument selection, sensitive data handling, and validation.
Configures Python development workspace for MQL5 integration. Use when setting up MetaTrader 5 Python API, configuring mt5 package, or establishing MQL5-Python workflows.
Extracts and organizes MQL5 articles and documentation. Use when researching MQL5 features, MetaTrader API documentation, Python MT5 integration, or algorithmic trading resources.
Log experiment metrics, parameters, and artifacts using MLflow Python API. Query and analyze runs with DataFrame operations. Use when user mentions "log backtest", "MLflow metrics", "experiment tracking", "log parameters", "search runs", "MLflow query", or needs to record strategy performance.
Create Mermaid diagrams (activity, deployment, sequence, architecture) from text descriptions or source code. Use when asked to "create a diagram", "generate mermaid", "document architecture", "code to diagram", "create design doc", or "convert code to diagram". Supports hierarchical on-demand guide loading, Unicode semantic symbols, and Python utilities for diagram extraction and image conversion.
