Total 40,731 skills
Showing 12 of 40731 skills
Adds new users to Cloudflare Access authentication by updating ACCESS_ALLOWED_EMAIL in .env and syncing policies to all protected services. Use when you need to grant access to a new user, add someone to the network, share service access, or update allowed emails. Triggers on "add user to access", "grant access to [email]", "add [email] to cloudflare", "share access with", "allow [email] to authenticate", or "update access users". Works with .env, update-access-emails.sh, and Cloudflare Access policies for pihole, jaeger, langfuse, sprinkler, ha, and temet.ai services.
Migrate existing Python projects to uv from pip, Poetry, Pipenv, or Conda. Learn how to convert dependency files, preserve development environment setup, validate the migration, and plan team rollout. Use when converting legacy projects to modern uv tooling, consolidating different package managers, or standardizing Python development workflows across teams.
Executes browser workflows while monitoring JavaScript console for errors, warnings, and messages. Use when you need error-free validation, debugging context during automation, or proactive error detection in web applications. Triggers on "check for console errors", "monitor JavaScript errors", "validate error-free execution", or "debug browser workflow". Works with Playwright MCP browser automation tools.
How to test domain models effectively: value object testing (immutability, validation), entity testing (identity, business logic), domain exception testing, aggregate testing, high coverage patterns (95%+), and testing invariants and constraints. Use when: Testing domain layer code, validating value objects, testing entities with business logic, ensuring domain invariants, or achieving 95%+ coverage on domain models.
Testing use cases and application services: use case testing with mocked gateways, DTO testing, application exception testing, orchestration testing, mocking at adapter boundaries. Coverage target: 85-90%. Use when: Testing use cases, testing application services, testing DTOs and data transformation, testing error handling in use cases, mocking external dependencies at layer boundaries.
Provides Complete patterns for testing async Python code with pytest: pytest-asyncio configuration, AsyncMock usage, async fixtures, testing FastAPI with AsyncClient, testing Kafka async producers/consumers, event loop and cleanup patterns. Use when: Testing async functions, async use cases, FastAPI endpoints, async database operations, Kafka async clients, or any async/await code patterns.
Creates and manages project artifacts (research, spikes, analysis, plans) using templated scripts. Use when asked to "create an ADR", "research topic", "spike investigation", "implementation plan", or "create analysis". Provides standardized structure, naming conventions, and helper scripts for artifact organization. Works with .claude/artifacts/ directory, Python scripts, and markdown templates.
Diagnoses and fixes DNS resolution issues in the network infrastructure including Pi-hole not resolving locally, router DNS configuration, and DNS record verification. Use when services can't be accessed via domain names, "can't access pihole.temet.ai", DNS not resolving, or need to verify Pi-hole DNS records. Triggers on "DNS not working", "can't resolve domain", "domain not found", "Pi-hole DNS issue", "fix DNS", or "troubleshoot DNS resolution". Works with Pi-hole DNS, docker-compose.yml FTLCONF variables, and local network DNS resolution.
Systematic resolution of pyright/mypy type errors with categorization and fix templates. Use when pyright fails, type errors are reported, adding type annotations, or enforcing type safety. Analyzes Python type errors, categorizes them (missing annotations, incorrect types, generic issues, Optional/None handling), and applies fix patterns. Works with .py files and pyright output.
Verifies that implemented code is actually integrated into the system and executes at runtime, preventing "done but not integrated" failures. Use when marking features complete, before moving ADRs to completed status, after implementing new modules/nodes/services, or when claiming "feature works". Triggers on "verify implementation", "is this integrated", "check if code is wired", "prove it runs", or before declaring work complete. Works with Python modules, LangGraph nodes, CLI commands, API endpoints, and service classes. Enforces Creation-Connection-Verification (CCV) principle.
Sets up and configures Google Kubernetes Engine (GKE) clusters for production use. Use when creating new GKE clusters, choosing between Autopilot vs Standard modes, configuring networking (VPC-native, private clusters), setting up node pools, or planning cluster architecture for Spring Boot microservices. Includes regional vs zonal decisions, security hardening, and resource provisioning guidance.
Scan codebase for security vulnerabilities including secrets, insecure dependencies, and unsafe code patterns. Use when performing automated security scans.