Total 56,290 skills
Showing 12 of 56290 skills
Best practices for writing JavaScript/TypeScript tests using Jest, including mocking strategies, test structure, and common patterns.
Automates the full code release pipeline — branch, commit, push, PR, wait for CI, merge, version bump, release, cleanup.
Personal Knowledge Management documentation system based on Zettelkasten principles. Use when documenting conversations, decisions, development work, learnings, or any knowledge that should persist. Triggers on new projects, technical decisions, completed tasks, lessons learned, meeting notes, or when the user says "document this". Apply this workflow to all daily memory notes and long-term memory updates.
Analyze budget vs actual variances in Excel with drill-down and root cause analysis. Use when performing variance analysis or explaining budget differences. Trigger with phrases like 'excel variance', 'analyze budget variance', 'actual vs budget'.
PostgreSQL monitoring - metrics, alerting, observability
Azure DevOps pipeline best practices, patterns, and industry standards
Plan, implement, and debug frontend tests: unit/integration/E2E/visual/a11y. Use for Playwright/Cypress/Vitest/Jest/RTL, flaky test triage, CI stabilization, and canvas/WebGL games (Phaser) needing deterministic input + screenshot/state assertions.
Use when documentation needs to be updated, clarified, or reorganized to better serve users' jobs-to-be-done with low cognitive load and high signal.
Designs team culture and sets standards of excellence using David Singleton (Stripe) and Dharmesh Shah (HubSpot) frameworks. Use when building teams, setting cultural values, creating rituals, or establishing excellence standards.
Creates comprehensive Technical Design Documents (TDD) following industry standards with mandatory sections, optional sections, and interactive gathering of missing information.
Provides comprehensive guidance for Spring Boot development including project creation, auto-configuration, dependency injection, web development, data access, security, testing, and deployment. Use when the user asks about Spring Boot, needs to create Spring Boot applications, configure Spring Boot, or implement Spring Boot features.
Google quantum computing framework. Use when targeting Google Quantum AI hardware, designing noise-aware circuits, or running quantum characterization experiments. Best for Google hardware, noise modeling, and low-level circuit design. For IBM hardware use qiskit; for quantum ML with autodiff use pennylane; for physics simulations use qutip.