.claude

Generate comprehensive GitHub ecosystem configuration including CI/CD workflows, issue templates, PR templates, CODEOWNERS, dependabot, and Copilot instructions. Language-agnostic with Python, Go, and TypeScript support. Auto-detects project language from pyproject.toml, go.mod, or package.json. Use when setting up GitHub repos, adding CI/CD pipelines, creating issue/PR templates, configuring dependabot, adding CODEOWNERS, setting up Copilot instructions, or enhancing existing projects with GitHub tooling. Works on new or existing repositories with smart merging.

Generate production-ready Python project skeletons with Astral UV package manager, Hatchling build backend with dynamic versioning, and modern tooling (ruff, mypy, pytest, bandit). Use when creating new Python projects, initializing Python packages, setting up src-layout projects, scaffolding Python libraries, or starting a new Python application. Supports Python 3.14+ by default with configurable version. Output to current directory, specified path, or tarball.

Systematically trace bugs backward through call stack to find original trigger

Four-phase debugging framework that ensures root cause investigation before attempting fixes. Never jump to solutions.

Browser automation, debugging, and performance analysis using Puppeteer CLI scripts. Use for automating browsers, taking screenshots, analyzing performance, monitoring network traffic, web scraping, form automation, and JavaScript debugging.

Generate exhaustively complete and accurate Datadog Software Catalog entity YAML files (v3 schema) by examining project source code and interviewing engineers. Use when engineers need to create or update entity.datadog.yaml files for services, datastores, queues, APIs, or systems. Triggers include: "create entity yaml", "generate service catalog entry", "document this project in datadog", "create service definition", "add to software catalog", or any request involving Datadog entity/service documentation. Supports all v3 entity kinds: service, datastore, queue, api, system. Fetches existing Datadog data via API. Validates against official JSON schema. Merges with existing definitions. Outputs to .datadog/ directory.

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Automatically detect and fix Python deprecation warnings in codebases, including datetime.utcnow(), and other common deprecated patterns. Supports extensible pattern matching for future deprecations.