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Customizing Commands

OrganizationPopular
letta-ai
customizing-commands

Creates, edits, and enables Letta Code mod-provided slash commands. Use when the user asks to add a custom /command, slash command, command shortcut, scoped conversation-backed command, or command-driven panel behavior.

Overview

Publisherletta-ai
Repositoryletta-code
Skill namecustomizing-commands
Stars
3.4K
Forks
411
Bundled files
Instructions only
LicenseApache-2.0
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 letta-ai on GitHub. Read the source before you install it.

Installation

Install the Customizing Commands 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/letta-ai/letta-code.git /tmp/letta-code
mkdir -p .claude/skills
cp -r /tmp/letta-code/src/skills/builtin/customizing-commands .claude/skills/customizing-commands
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Customizing Commands 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 Customizing Commands 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 Customizing Commands 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.

Customizing Commands

Use this as the command-specific entrypoint for local mod slash commands. For broader mod work, recipes live in ../creating-mods/references/commands.md, ../creating-mods/references/architecture.md, ../creating-mods/references/ui.md, and ../creating-mods/references/plan-mode.md.

Mod files live in:

text
~/.letta/mods/

Use a focused file name, e.g. ~/.letta/mods/review.ts or ~/.letta/mods/commands.ts.

First decide whether a command is right

User wantsBuild
/foo sends a prompt or shows local outputMod command
/foo starts a reusable agent workflowSkill + thin mod command
Agent/model should autonomously call the capabilityMod tool, not a command
Command shows transient progress/resultsMod command + panel
Command needs model output while the main agent is busyrunWhenBusy: true command + forked ctx.conversation

If the command is a reusable workflow like /goal, put the workflow instructions in a skill and keep the mod command as a small launcher/prompt.

Workflow

  1. Inspect ~/.letta/mods/ for related command files.
  2. Preserve unrelated mod code; create a focused new file if merging is messy.
  3. Register with letta.commands.register() and guard with letta.capabilities.commands.
  4. Return the unregister function, or a disposer that calls it plus any timer/panel cleanup.
  5. Tell the user the exact file path changed and to run /reload.

Default prompt command

ts
export default function activate(letta) {
  if (!letta.capabilities.commands) return;

  return letta.commands.register({
    id: "review",
    description: "Review current git changes",
    args: "[focus]",
    run(ctx) {
      const focus = ctx.args.trim();
      return {
        type: "prompt",
        content: focus
          ? `Review current git changes. Focus on ${focus}.`
          : "Review current git changes. Focus on correctness issues.",
        systemReminder: true,
      };
    },
  });
}

Command result types

ts
type ModCommandResult =
  | { type: "prompt"; content: string; systemReminder?: boolean }
  | { type: "output"; output: string; success?: boolean }
  | { type: "handled" };
  • prompt: sends content to the agent. Use for normal slash shortcuts.
  • output: prints local text and does not contact the agent.
  • handled: command handled its own side effects/UI; common for panel commands.

Rules

  • Command IDs omit the slash: id: "review", not "/review".
  • Use lowercase slugs with letters, numbers, and hyphens.
  • Do not register built-in command IDs.
  • runWhenBusy: true commands must not return prompt while the main agent is busy; use scoped conversation helpers/panels and return handled.
  • showInTranscript: false commands should usually return handled, not prompt.
  • Do not import Letta Code app internals.
  • Do not do surprising side effects on startup; mods activate on app start and /reload.

More recipes

  • Simple output command, panel command, busy-safe conversation command: ../creating-mods/references/commands.md
  • Complex command architecture, state, cleanup: ../creating-mods/references/architecture.md
  • Panel/status UI patterns: ../creating-mods/references/ui.md
  • Worked plan-mode command/tool composition: ../creating-mods/references/plan-mode.md

Frequently asked questions

What does the Customizing Commands AI skill do?

Creates, edits, and enables Letta Code mod-provided slash commands. Use when the user asks to add a custom /command, slash command, command shortcut, scoped conversation-backed command, or command-driven panel behavior.

Why use Customizing Commands on TypingMind?

Because you install it once and use it with any model. Customizing Commands 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 Customizing Commands in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/letta-ai/letta-code/tree/main/src/skills/builtin/customizing-commands. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Customizing Commands?

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 Customizing Commands?

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

Is the Customizing Commands AI skill free?

Yes. It is published on GitHub by letta-ai under the Apache-2.0 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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