Receber por email
← Voltar para o catálogo

yao-meta-skill

Crie, refatore, avalie e empacote habilidades de agente a partir de fluxos de trabalho, prompts, transcrições, documentos ou notas. Utilize quando for solicitado a criar uma habilidade, transformar um processo repetido em uma habilidade reutilizável, aprimorar uma habilidade existente, adicionar avaliações ou empacotar uma habilidade para reutilização pela equipe.

2.4kestrelas
Atualizado há 3 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add yaojingang/yao-meta-skill

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/yao-meta-skill/svg)](https://www.skillteca.com.br/skills/yao-meta-skill)
#ai

Alerta por categoria

Receba novas skills de Escrita e Conteúdo toda segunda

1 email curto, só com as skills novas de Escrita e Conteúdo. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

Yao Meta Skill

Router Rules

  • Route by frontmatter description.
  • Keep SKILL.md lean; put guidance in references/, logic in scripts/, and evidence in reports/.
  • Use the lightest reliable process.

Modes

  • Scaffold: exploratory or personal.
  • Production: team reuse.
  • Library: shared infrastructure.

Mode rules: [Method](references/skill-engineering-method.md), [Operating Modes](references/operating-modes.md), [Resource Boundaries](references/resource-boundaries.md).

Compact Workflow

  1. Decide whether the request should become a skill and choose the lightest fit.
  2. Capture job, output, exclusions, constraints, and standards.
  3. Run reference scan: external benchmarks first, user references second, local fit third; surface only uncertainty or conflict.
  4. Write the description early and test route quality before expanding the package.
  5. Add output-risk, artifact-design, prompt-quality, and system-model reports only when they matter.
  6. Add only folders and gates that earn their keep.
  7. Surface the top three next iteration directions.

Core playbooks: [Method](references/skill-engineering-method.md), [Intent Dialogue](references/intent-dialogue.md), [Reference Scan](references/reference-scan.md), [Artifact Design](references/artifact-design-doctrine.md), [Prompt Engineering](references/prompt-engineering-doctrine.md), [Systems Thinking](references/systems-thinking-doctrine.md).

First-Turn Style

When the skill first activates:

  • open warmly, like a thoughtful teacher or design partner
  • start from the user's work and desired outcome before asking for structure
  • ask only 2-3 key questions unless the user already gave enough detail
  • let the user answer naturally first; offer a tiny scaffold only as a shortcut
  • avoid cold field lists; turn benchmark work into one recommendation unless uncertainty or conflict needs a visible call

Chinese conversations should sound soft and companion-like rather than procedural.

Opening patterns: [Intent Dialogue](references/intent-dialogue.md).

Output Contract

Unless the user asks otherwise, produce:

  1. a working skill directory
  2. a SKILL.md
  3. aligned agents/interface.yaml
  4. optional references/, scripts/, evals/, reports/, and manifest.json when justified
  5. a short summary of boundary, exclusions, gates, and next steps

Reference Map

Primary references: [Method](references/skill-engineering-method.md), [Reference Scan](references/reference-scan.md), [Artifact Design](references/artifact-design-doctrine.md), [Prompt Engineering](references/prompt-engineering-doctrine.md), [Systems Thinking](references/systems-thinking-doctrine.md), [Governance](references/governance.md).

Compartilhar X LinkedIn