Skill UI

Investigate and resolve data quality alerts using Monte Carlo MCP tools. Performs root cause analysis, assesses impact, discovers remediation tools, and executes fixes or escalates issues with full context.

This skill covers designing multi-agent systems to overcome single-agent context limits. It includes patterns like supervisor/orchestrator, swarm, and hierarchical structures. Key concepts involve context isolation, parallel execution, token economics, and specialization for complex tasks.

This skill combines a senior software engineering workflow with product design expertise. It ensures full planning, architecture, test-driven development, clean code, and pixel-perfect UX validation. Ideal for complex projects requiring both technical robustness and visual precision in Portuguese contexts.

This skill provides effective patterns for transitioning on-call responsibilities between shifts. It ensures continuity, context transfer, and reliable incident response by documenting active incidents, ongoing investigations, recent changes, and known issues. Includes templates for shift handoff documents and quick async handoffs to improve onboarding and operational stability.

Coordinates multiple specialized agents via Claude Code's native Agent Tool for complex tasks requiring diverse expertise, such as comprehensive code analysis, feature reviews, and security audits. Enables sequential chains, context passing, and resumable work, with a synthesis protocol for unified recommendations.

A comprehensive suite designed for AI agents to perform safe, deep, and multi-format web searches. It allows agents to retrieve current web information, analyze PDFs, extract YouTube transcripts, and access GitHub code files. Instructions include guidelines for varying search depths and using specialized tools for code context retrieval.

This skill provides a comprehensive guide for writing effective, blameless postmortems. It helps teams conduct post-incident reviews, identify root causes, and prevent recurrence. Ideal for DevOps, engineering, and organizational learning contexts. Includes templates, timelines, and best practices for fostering a blameless culture.

Create structured pull request descriptions following Sentry engineering practices. Analyzes branch diffs, generates clear what/why context, and creates draft PRs via GitHub CLI.

Create and maintain a reusable product marketing context document covering positioning, ICP, personas, use cases, messaging and brand voice. Use at project start so later marketing tasks don't repeat core context.

This skill systematically audits a given project by analyzing its historical memory, rollout summaries, and local skill definitions. It identifies repeated complex workflows, recurring operational patterns, or areas where existing skills are stale. The audit process guides the user to recommend the highest-value skills to either add (if a new pattern emerges) or update (if current skills are outdated or incomplete), ensuring the AI agent operates with the most accurate and context-specific knowledge base for optimal project execution.

Expert in building Retrieval-Augmented Generation systems for LLM applications. Masters embedding models, vector databases, chunking strategies, and retrieval optimization. Capable of designing retrieval pipelines, implementing hybrid search, and optimizing context windows to ensure high-quality generation from retrieved documents.

Read every Architecture Decision Record (ADR) in a project's docs/adr folder completely before summarizing architectural context or decisions. Use this when users need to understand architectural decisions before modifying or reviewing a project.