Skill UI

This skill provides an end-to-end discipline for managing feature flags throughout their lifecycle, from classification to retirement. It includes tools to audit flag debt, plan progressive rollouts, and verify kill-switch documentation. Ideal for release engineering teams aiming to reduce technical debt and ensure controlled feature deployment.

This skill enforces a rigorous data validation protocol by establishing hard boundaries at every point data enters the system (API requests, user input, environment variables, webhooks, etc.). It mandates a four-phase process: detection, trust classification, mandatory filtering (schema validation, sanitization, type checking), and final verification. This prevents untrusted data from reaching core business logic, mitigating risks like SQL injection and XSS.

This skill provides comprehensive guardrails for handling Protected Health Information (PHI) in US healthcare software. It guides development teams on data classification, security best practices, access control, and audit logging to ensure strict adherence to HIPAA regulations. Use it when dealing with patient data storage, transmission, or processing to prevent breaches and maintain compliance.

This guide helps authors structure the Related Work section for top-tier academic journals like the Journal of Software. It focuses on demonstrating incremental contribution (delta-first positioning), structuring the review across multiple software disciplines (e.g., SE, Systems, Databases), ensuring balanced citations (international vs. domestic), and building comprehensive classification frameworks for review papers.

A skill for triaging issues by root cause, avoiding symptom-by-symptom fixes, and designing solutions that simplify systems. It provides hard rules for classification, test evidence, and over-engineering prevention, suitable for maintainers handling bug reports and backlogs.

This skill orchestrates multi-agent incident response workflows following modern SRE practices. It guides detection, triage, investigation, mitigation, and resolution phases to ensure rapid service recovery and learning. Includes severity classification, observability analysis, root cause analysis, and deployment strategies for critical system outages and security breaches.

This skill enforces a rigorous data validation protocol by establishing hard boundaries at every point data enters the system (API requests, user input, environment variables, webhooks, etc.). It mandates a four-phase process: detection, trust classification, mandatory filtering (schema validation, sanitization, type checking), and final verification. This prevents untrusted data from reaching core business logic, mitigating risks like SQL injection and XSS.

Inventory and govern a project's test assets. Connect requirements, business rules, risks, bugs, and cross-boundary contracts to stable TEST-IDs and executable evidence in the repository's existing test registry or TESTS.md. Use for test inventory, test gap analysis, unit/integration/contract/E2E/smoke classification, bug-to-test regression protection, consumer/provider contract testing, test-necessity review, and pre-delivery evidence review.