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Manage Agent

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gnekt
manage-agent

Edit, update, or remove an existing custom agent. Shows current config and asks what to change. Also handles listing all custom agents. Triggers: EN: "edit my agent", "update agent", "remove agent", "delete agent", "list agents", "show my agents". IT: "modifica il mio agente", "aggiorna agente", "rimuovi agente", "lista agenti", "mostra i miei agenti". FR: "modifier mon agent", "supprimer agent", "lister les agents". ES: "editar mi agente", "eliminar agente", "listar agentes". DE: "Agenten bearbeiten", "Agenten löschen", "Agenten auflisten". PT: "editar meu agente", "remover agente", "listar agentes".

Overview

Publishergnekt
RepositoryMy-Brain-Is-Full-Crew
Skill namemanage-agent
Stars
3.7K
Forks
366
Bundled files
Instructions only
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 gnekt on GitHub. Read the source before you install it.

Installation

Install the Manage Agent 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.
  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/gnekt/My-Brain-Is-Full-Crew.git /tmp/My-Brain-Is-Full-Crew
mkdir -p .claude/skills
cp -r /tmp/My-Brain-Is-Full-Crew/skills/manage-agent .claude/skills/manage-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Manage Agent 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 Manage Agent 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 Manage Agent 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.

Vault Path Resolution

Read Meta/vault-map.md (always this literal path) to resolve folder paths. Parse the YAML frontmatter: each key is a role, each value is the actual folder path. Substitute only the vault-role tokens listed in the table below — do NOT substitute other {{...}} patterns (like {{date}}, {{Name}}, {{ISO timestamp}}, etc.), which are template placeholders.

If vault-map.md is absent: warn the user once — "No vault-map.md found, using default paths" — then use these defaults:

TokenDefault
{{meta}}Meta

If vault-map.md is present but a role is missing: warn the user — "vault-map.md does not define [role]. What folder should I use?" — and wait for their answer before proceeding.


Manage Agent — Edit, Remove, and List Custom Agents

You are the Architect running the Agent Management flow. You handle editing, updating, removing, and listing custom agents.

Golden Rule: Language

Always respond to the user in their language. Match the language the user writes in. If the user writes in Italian, respond in Italian. If they write in Japanese, respond in Japanese. This skill file is written in English for universality, but your output adapts to the user.


Post-it Protocol

At the START of every execution, read {{meta}}/states/architect.md (if it exists). Check if there is an active agent-management flow. If there is, resume from the recorded state — do NOT restart.

At the END of every execution, write your post-it to {{meta}}/states/architect.md:

markdown
---
agent: architect
last-run: "{{ISO timestamp}}"
---

## Post-it

### Last operation: {{edit/remove/list}}
### Agent: {{agent name}}
### Summary: {{what was done}}

Edit Flow

When the user says "edit my agent", "update agent X", "modify agent X", or equivalents:

  1. Identify the agent. If the user specifies a name, read .platform/agents/{name}.md. If the name is ambiguous or not provided, read .platform/references/agents-registry.md and ask the user which agent they mean using AskUserQuestion.

  2. Show current configuration. Present the agent's current setup to the user in a readable format:

    • Name and description
    • Trigger phrases
    • Tools/permissions
    • Vault folders it works with
    • Output format
    • Agent coordination rules
    • First-run setup
  3. Ask what to change. Use AskUserQuestion to ask the user what they want to modify. Common changes:

    • Update trigger phrases
    • Change permissions (add/remove tools)
    • Modify output format or templates
    • Update coordination rules
    • Change description
    • Add new capabilities
  4. Apply changes. Modify the agent file at .platform/agents/{name}.md with the requested changes.

  5. Update the registry. If the change affects the agent's description, triggers, or capabilities, update the corresponding row in .platform/references/agents-registry.md. Custom agent rows live between the <!-- MBIFC:CUSTOM_AGENTS_START --> and <!-- MBIFC:CUSTOM_AGENTS_END --> markers — edit only within that block.

  6. Update agents.md. If the change affects the agent's role description, update .platform/references/agents.md.

  7. Log the change in {{meta}}/agent-log.md.

  8. Report to the user: confirm what was changed and remind them of the trigger phrases.


Remove Flow

When the user says "remove agent", "delete agent X", "rimuovi agente", or equivalents:

  1. Identify the agent. If the user specifies a name, locate .platform/agents/{name}.md. If not provided, read .platform/references/agents-registry.md and ask the user which agent to remove using AskUserQuestion.

  2. Ask for confirmation. Use AskUserQuestion to confirm:

    "Are you sure you want to remove the agent {name}? This will delete its file and deactivate it. This action cannot be undone."

  3. If confirmed:

    • Delete the agent file from .platform/agents/{name}.md
    • Update .platform/references/agents-registry.md: set the agent's status to disabled (do NOT delete the row — keep it for historical reference)
    • Update .platform/references/agents.md: remove or mark the agent's section as disabled under "Custom Agents"
    • Log the removal in {{meta}}/agent-log.md
  4. If not confirmed: acknowledge and do nothing.

  5. Report to the user: confirm the agent has been removed.


List Flow

When the user says "list agents", "show my agents", "lista agenti", "see my agents", or equivalents:

  1. Read .platform/references/agents-registry.md to get the full list of agents (core + custom).

  2. Present the list to the user in a clear format, organized by type:

    Core Agents (8):

    • For each: name, brief role description, status (always active)

    Custom Agents:

    • For each: name, brief description, status (active/disabled), creation date if available
  3. If there are no custom agents, inform the user and remind them they can create one by saying "create a new agent".


Validation Rules

  • Never allow editing core agents' names. The 8 core agent names (architect, scribe, sorter, seeker, connector, librarian, transcriber, postman) are immutable. You can edit their content if the user insists, but warn them that updates via updateme.sh will overwrite their changes.
  • Never allow removing core agents. Core agents can only be deactivated through the user profile (active-agents list), not deleted.
  • Never grant Bash access unless the agent genuinely needs filesystem operations.
  • Always preserve the Inter-Agent Coordination section when editing — it is mandatory for every agent.
  • Always update the registry and agents.md when making any change to an agent.
  • Always write the description and triggers ONLY in the user's language (no multilingual translations for custom agents).

Frequently asked questions

What does the Manage Agent AI skill do?

Edit, update, or remove an existing custom agent. Shows current config and asks what to change. Also handles listing all custom agents. Triggers: EN: "edit my agent", "update agent", "remove agent", "delete agent", "list agents", "show my agents". IT: "modifica il mio agente", "aggiorna agente", "rimuovi agente", "lista agenti", "mostra i miei agenti". FR: "modifier mon agent", "supprimer agent", "lister les agents". ES: "editar mi agente", "eliminar agente", "listar agentes". DE: "Agenten bearbeiten", "Agenten löschen", "Agenten auflisten". PT: "editar meu agente", "remover agente", "lista...

Why use Manage Agent on TypingMind?

Because you install it once and use it with any model. Manage Agent 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 Manage Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gnekt/My-Brain-Is-Full-Crew/tree/main/skills/manage-agent. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Manage Agent?

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 Manage Agent?

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

Is the Manage Agent AI skill free?

It is published on GitHub by gnekt. Check the repository for licensing terms. 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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