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letta-ai

letta-ai

65 Skills published on GitHub.

creating-mods

Creates and edits trusted local Letta Code mods, including tools, slash commands, local-only model providers, lifecycle/turn events, scoped conversation helpers, panels, and capability-gated behavior. Use when asked to make a mod, add an agent-callable tool, add a slash command, add a local provider/model adapter, transform turns, react to app events, or add lightweight mod UI outside the dedicated /statusline flow.

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creating-skills

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations.

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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.

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customizing-statusline

Creates, edits, and migrates Letta Code statusline mods. Use when handling the /statusline command or continuing work started by /statusline.

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dispatching-coding-agents

Dispatch stateless coding agents (Claude Code or Codex) via Bash. Use when you're stuck, need a second opinion, or need parallel research on a hard problem. They have no memory — you must provide all context.

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editing-letta-code-desktop-preferences

Edits Letta Code Desktop (LCD) preferences by safely reading and updating ~/.letta/desktop_preferences.json. Use only when the user asks to change current Desktop/LCD settings such as theme, default working directory, remote access preference, or remote environment name via the preferences JSON.

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finding-agents

Find other agents on the same server. Use when the user asks about other agents, wants to migrate memory from another agent, or needs to find an agent by name or tags.

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generating-mod-envs

Generates and reviews mod learning env JSON files for Letta Code local mods. Use when asked to teach, learn, or optimize a mod behavior; create, draft, validate, improve, or explain envs for `/mods learn --env`; or design evaluation scenarios, memory fixtures, requiredResultMarkers, requiredTraceMarkers, negative controls, and candidate diversity hints.

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image-generation

Generate images from text prompts (and optionally edit/remix input images). Use when the user asks to create, generate, draw, render, or edit an image, illustration, logo, icon, diagram, or photo.

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initializing-memory

Comprehensive guide for initializing or reorganizing agent memory. Load this skill when running /init, when the user asks you to set up your memory, or when you need guidance on creating effective memory files.

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messaging-agents

Send messages to other agents on your server. Use when you need to communicate with, query, or delegate tasks to another agent.

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migrating-memory

Migrate memory blocks from an existing agent to the current agent. Use when the user wants to copy or share memory from another agent, or during /init when setting up a new agent that should inherit memory from an existing one.

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modifying-the-harness

Modify the Letta Code harness, such as permission rules, lifecycle hooks, tool availability, model/context settings, schedules, and deterministic runtime configuration.

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scheduling-tasks

Schedules reminders and recurring tasks via the letta cron CLI. Use when the user asks to be reminded of something, wants periodic messages, or needs to manage scheduled tasks.

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syncing-memory-filesystem

Manage git-backed memory repos. Load this skill when working with git-backed agent memory, setting up remote memory repos, resolving sync conflicts, or managing memory via git workflows.

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