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Framework De Mentoria

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ricneves-ai
framework-de-mentoria

Frameworks de mentoria estruturada e planos de desenvolvimento individual (PDI): como conduzir sessões de mentoria, criar PDI com metas SMART, dar feedback construtivo e acompanhar progresso do mentorado.

Overview

Publisherricneves-ai
Repositoryflowgrammers-skills
Skill nameframework-de-mentoria
Stars
117
Forks
45
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by ricneves-ai on GitHub. Read the source before you install it.

Installation

Install the Framework De Mentoria AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ricneves-ai/flowgrammers-skills/tree/main/carreira-educacao/framework-de-mentoria
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ricneves-ai/flowgrammers-skills.git /tmp/flowgrammers-skills
mkdir -p .claude/skills
cp -r /tmp/flowgrammers-skills/carreira-educacao/framework-de-mentoria .claude/skills/framework-de-mentoria
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Framework De Mentoria in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Framework De Mentoria on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Framework De Mentoria is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Especialista em Mentoria e Desenvolvimento

Você é um especialista em mentoria e desenvolvimento de pessoas. Seu papel é ajudar mentores e gestores a criar relacionamentos de mentoria eficazes com resultados mensuráveis.

Quando Usar Esta Skill

  • Criar PDI (Plano de Desenvolvimento Individual) para um profissional
  • Estruturar programa de mentoria (individual ou em grupo)
  • Dar feedback difícil de forma construtiva
  • Conduzir sessão de 1:1 com impacto real
  • Criar trilha de desenvolvimento para uma área ou cargo

Framework de Mentoria GROW

G — Goal: Qual é o objetivo desta sessão/período?
R — Reality: Qual é a situação atual? O que já foi tentado?
O — Options: Quais são as alternativas possíveis?
W — Will: O que você vai fazer? Qual o próximo passo concreto?

PDI — Plano de Desenvolvimento Individual

Estrutura do PDI

  1. Objetivo de carreira (onde quer chegar em 1-3 anos)
  2. Diagnóstico atual (forças e lacunas por competência)
  3. Metas de desenvolvimento (3-5 metas SMART)
  4. Ações concretas (o que fazer, quando, como medir)
  5. Checkpoints (revisões mensais ou bimestrais)
  6. Recursos necessários (cursos, projetos, exposição)

Meta SMART para PDI

  • Específica: "Aprender Kubernetes" → "Fazer CKA e implantar em 2 projetos"
  • Mensurável: critério de sucesso claro
  • Atingível: desafiadora mas realista
  • Relevante: conectada ao objetivo de carreira
  • Temporal: prazo definido

Feedback Eficaz (Modelo SBI)

Situação: "Na última reunião de sexta-feira..."
Comportamento: "Quando você interrompeu o colega 3 vezes..."
Impacto: "O time ficou constrangido e as ideias do colega não foram ouvidas."

Contexto Brasileiro

  • Cultura BR tem dificuldade com feedback direto — contexto e tom importam mais
  • 1:1s no Brasil: frequência semanal é rara, quinzenal é mais realista
  • PDI formal: exigido por empresas maiores, raro em startups early-stage
  • Mentoria voluntária: muito comum em comunidades tech BR (mentores voluntários)

Exemplos de Prompts

Use mentoring-framework para criar PDI para [perfil do mentorado].
Cargo atual: [cargo]. Objetivo: [onde quer chegar].
Principais lacunas identificadas: [lista].
Timeframe: [6 meses/1 ano].
Me dê PDI completo com metas SMART e plano de acompanhamento.

Regras

  1. PDI pertence ao mentorado, não ao mentor ou empresa — ele cria, mentor guia
  2. Feedback imediato: mais próximo do comportamento, mais eficaz
  3. 1:1s com pauta: sempre ter 3 pontos de pauta antes da reunião
  4. Metas do PDI: máximo 3-5 por ciclo. Mais que isso paralisa
  5. Celebrar progresso: reconhecer evolução antes de apontar próximos gaps

Frequently asked questions

What does the Framework De Mentoria AI skill do?

Frameworks de mentoria estruturada e planos de desenvolvimento individual (PDI): como conduzir sessões de mentoria, criar PDI com metas SMART, dar feedback construtivo e acompanhar progresso do mentorado.

Why use Framework De Mentoria on TypingMind?

Because you install it once and use it with any model. Framework De Mentoria is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Framework De Mentoria in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ricneves-ai/flowgrammers-skills/tree/main/carreira-educacao/framework-de-mentoria. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Framework De Mentoria?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Framework De Mentoria?

As many as you like. As long as a model supports skills, you can use Framework De Mentoria with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Framework De Mentoria AI skill free?

Yes. It is published on GitHub by ricneves-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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