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Found 1,574 Skills
Query fan-out coverage for AI visibility. Covers semantic variation analysis and sub-question targeting.
Security-first visual testing combining URL validation, PII detection, and visual regression with parallel viewport support. Use when testing web applications that handle sensitive data, need visual regression coverage, or require WCAG accessibility compliance.
Pipeline health assessment with coverage ratios, conversion benchmarks, velocity analysis, and problem diagnosis frameworks.
Search for available phone numbers by location and features, check coverage, and place orders. Use when acquiring new phone numbers. This skill provides Python SDK examples.
Researches investigative articles, interviews, and news coverage. Use when research needs journalistic sources for cross-referencing or additional context.
Kiwi-user authentication integration for frontend (login flows, token storage, refresh) and backend (token verification via API or public key, auth middleware, user ID extraction).
Convex backend development patterns, validators, indexes, actions, queries, mutations, file storage, scheduling, React hooks, and components. Use when writing Convex code, debugging Convex issues, or planning Convex architecture.
Advanced testing strategies and methodologies. Use when user asks to "design tests", "test coverage", "property-based testing", "mutation testing", "contract testing", "chaos engineering", "test pyramid", "testing strategy", "behavior-driven development", "acceptance testing", or mentions comprehensive testing approaches.
Build and operate Convex backends: functions (queries/mutations/actions/http actions), schemas, auth patterns, scheduling (cron/scheduled/workflows), file storage, testing, and debugging. Triggers: "convex", "query", "mutation", "action", "httpAction", "schema", "validator", "cron", "schedule", "workflow", "workpool", "ctx.db", "ctx.auth", "convex dev".
Testing philosophy and practices. This skill should be used when writing tests, designing test strategies, or reviewing test code. Use proactively when discussing TDD, red-green-refactor, test doubles, mocks, stubs, fakes, RSpec, Jest, pytest, unit tests, integration tests, test coverage, or test-first development. (user)
Comprehensive code review with parallel specialist sub-agents. Analyzes requirements traceability, code quality, security, performance, accessibility, test coverage, and technical debt. Produces detailed findings and calls /qa-gate for final gate decision.
Orchestrate multiple independent agents running simultaneously, leveraging Claude Sonnet 4.5's parallel tool execution capabilities to maximize throughput on multi-task requests.