Explorar skills

Run multi-indicator technical analysis on crypto or market OHLCV data. Use for deterministic trend, momentum, volume, and divergence analysis.

Investiga bugs, testes falhando, falhas de build, problemas de desempenho e comportamentos inesperados com disciplina de causa raiz antes que qualquer correção seja proposta ou implementada.

Production FastAPI patterns — async endpoints, SQLAlchemy 2.0 async, Pydantic V2, dependency injection, JWT auth, testing. Use for Python 3.11+ FastAPI backends. NOT for Django (→ `django-patterns`) or Node.js (→ `backend-patterns`).

Forces the strict Red-Green-Refactor development cycle. Requires one failing behavior test through a public interface before each implementation slice.

Process audio and video with clipping, conversion, analysis, captions, thumbnails, GIFs, and batch utilities. Use for practical media manipulation workflows.

Reviews a product, technical, API, UI, or implementation spec for completeness, testability, architectural fit, and readiness before planning or implementation.

Process images for cleanup, conversion, metadata, comparison, icons, palettes, collages, and sprite sheets. Use for single-image or batch image workflows.

Analyze datasets and turn them into narrative reports with charts, audits, comparisons, and statistical summaries. Use for exploratory analysis and executive-ready outputs.

Run evaluation pipelines on Claude Code skills to test triggering accuracy, workflow correctness, and output quality. Spawns executor, grader, comparator, and analyzer sub-agents for parallel evaluation. Generates eval_metadata.json, grading.json, and feedback reports. Use when user says "eval skill", "test skill", "run evals", "evaluate skill", "skill evals", "test skill quality", "run skill test

Create or update agent skills with concise SKILL.md instructions, bundled resources, agent metadata, validation, and packaging. Use when building or refactoring skills.

Simplifies working code while preserving exact behavior. Use after tests pass, during review feedback, or when code is harder to read, maintain, or verify than it needs to be without changing product behavior.

Provides a comprehensive code review checklist for pull requests covering security, performance, maintainability, and testing. Use as a reference during code reviews or when the user asks for a review checklist.