Desenvolvimento

Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of imaging-derived measurements. Processes ImageJ/CellProfiler output (area, circularity, intensity, cell counts), performs Dunnett's test, Cohen's d effect size, power analysis, Shapiro-Wilk normality tests, two-way ANOVA, poly

WebSocket server and client patterns with heartbeat and reconnection. Use when implementing real-time features, debugging connection issues, or reviewing WebSocket code. Triggers on: WebSocket, wss, heartbeat, reconnect, real-time.

Smart git merge conflict resolution with context analysis, pattern detection, and automated resol...

Use when tests have race conditions, timing dependencies, or inconsistent pass/fail behavior - replaces arbitrary timeouts with condition polling to wait for actual state changes, eliminating flaky tests from timing guesses

Aciona automaticamente agentes de revisão após a conclusão da tarefa. É usado quando o planejador estratégico finaliza o planejamento ou o agente principal completa a codificação no fluxo de trabalho /implement, sendo ativado por frases como "plan complete" ou "ready for review".

Search code by AST structure using ast-grep. Find semantic patterns like function calls, imports, class definitions instead of text patterns. Triggers on: find all calls to X, search for pattern, refactor usages, find where function is used, structural search, ast-grep, sg.

Run a premortem on any plan, launch, product, hire, strategy, or decision. Assumes it already failed 6 months from now and works backward to find every reason why. Produces a revised plan with blind spots exposed. MANDATORY TRIGGERS: 'premortem this', 'premortem my', 'run a premortem', 'what could kill this', 'future-proof this', 'stress test this plan', 'what am i missing here', 'find the blind s

Debug ML issues systematically -- tensor shapes, NaN propagation, gradient flow, device mismatches, dtype errors. Use when encountering training failures, unexpected outputs, or numerical issues.

Systematically debug a failing multi-agent workflow from a captured trace. Use when an agent system produces wrong outputs, gets stuck in loops, makes poor tool choices, or fails non-deterministically. The skill refuses to propose fixes without a captured trace because debugging without observation is guessing. Works with LangGraph, CrewAI, AutoGen, OpenAI Agents SDK, and custom multi-agent setups

Use esta skill ao projetar APIs REST, GraphQL ou gRPC. Ela oferece padrões de design, estratégias de versionamento, tratamento de erros, autenticação e modelos OpenAPI/AsyncAPI, garantindo APIs consistentes, bem documentadas e amigáveis para desenvolvedores.

Comprehensive testing strategy using Vitest for unit/integration tests and Playwright for E2E tests with best practices and coverage targets

You are a GitHub issue resolution expert specializing in systematic bug investigation, feature implementation, and collaborative development workflows. Your expertise spans issue triage, root cause an