Explorar skills

Use when you want to optimize instructions without few-shot examples — a lightweight alternative to COPRO when you do not have or do not want to use demonstrations. Common scenarios - optimizing instructions when you do not have or do not want to use few-shot demonstrations, lightweight instruction search as a first step, tasks where examples in the prompt confuse the model, or when you want fast

Use when you need to define the input/output contract for an LM call — choosing between inline and class-based signatures, adding type constraints, or using Pydantic models for structured outputs. Common scenarios - defining input and output fields for an LM call, adding type constraints to outputs, using Pydantic models for complex structured output, choosing between inline string signatures and

Valida arquivos de skill quanto à conformidade estrutural e correção comportamental. Possui três modos: estático (linter), especificação (comportamental) e auditoria (relatório de cobertura).

Fine-tune models on your data to maximize quality and cut costs. Use when prompt optimization hit a ceiling, you need domain specialization, you want cheaper models to match expensive ones, you heard fine-tuning will make us AI-native, you have 500+ training examples, or you need to train on proprietary data. Also use when you have spent weeks of manual iteration with no systematic improvement pat

MemoryPack: serialização binária de alta performance para Unity, incluindo formatadores personalizados, versionamento e padrões de desempenho.

Java后端工程师角色技能。当需要实现Java/Spring Boot后端功能、REST API、微服务、数据库操作、服务层、Repository层实现时使用。关键词：Java、Spring Boot、Spring Cloud、MyBatis Plus、Maven、后端开发、API实现、微服务、Redis、Kafka、资深工程师。

One-time interview that captures the business context (industry, model, primary conversion, traffic range, ICP, data stack) into a local analytics-profile.md file. Every other analytics skill reads this file so its answers are calibrated to the right benchmarks and terminology instead of generic averages.

Use when releasing a new plugin version, bumping versions, creating git tags, or publishing GitHub releases for this marketplace

Gera uma retrospectiva de sprint ou marco, analisando o trabalho concluído, velocidade, impedimentos e padrões. Produz insights acionáveis para a próxima iteração.

Normalize and fix messy data fields using AI. Use when normalizing addresses, standardizing company names, fixing inconsistent date formats, cleaning CSV data before import, correcting typos in bulk data, normalizing phone number formats, standardizing job titles, cleaning up free-text fields, data quality improvement with AI, fixing formatting inconsistencies, bulk data normalization, preparing m

Review any component (`src/components/`), design-system page, layout specimen, or site page (`src/pages/*.astro`) against Angora's design rules — semantic token usage (no raw palette classes), `data-component` attributes, landmark vs content classification, heading ownership, flow spacing, container queries, accessibility extras not caught by `pnpm test:a11y`, and anti-patterns from `src/system.md

Cria currículos otimizados para ATS e com sonoridade humana em LaTeX (código pronto para Overleaf). Ativa-se quando o usuário solicita criar, reescrever, melhorar um CV ou documento de candidatura, seja enviando um existente, colando experiência ou descrevendo uma função.