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SkillsMP a collecté 22 skills depuis letta-ai/letta-code. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 22 skills collectés sur 22.
Moves the current agent conversation to Cloud or a Cloud-registered remote environment while coordinating machine-local files and setup. Use when the user says "let's continue this task on cloud", asks to continue or move work on another connected computer,…
Langue du texte source : anglais
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,…
Langue du texte source : anglais
Schedules reminders and recurring tasks via the letta cron CLI. Use when the user asks to be reminded of something, wants periodic work or check-ins, or needs to list, inspect, replace, or cancel scheduled tasks.
Langue du texte source : anglais
Create and manage shared memory — git-tracked repositories hosted on Letta Cloud that are attached to one or more agents and projected into their filesystems. Use when the user wants to share memory or files across agents, store context outside your own…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Answer questions about Letta itself from the official documentation. Use whenever the user asks how Letta works, what Letta (or you) can do, or how to set up or configure providers, models, channels, skills, memory, schedules, permissions, self-hosting,…
Langue du texte source : anglais
Inspect or modify Letta Code's own memory, model, context window, system prompt, compaction, permissions, toolsets, mods, skills, channels, schedules, and local runtime settings. Use when the user asks how this agent or conversation is configured, or asks you…
Langue du texte source : anglais
Connect to MCP (Model Context Protocol) servers and create skills for repeated use. Load when a user wants to use an MCP server, connect to external tools via MCP, or when they mention MCP, model context protocol, or specific MCP servers.
Langue du texte source : anglais
Send messages to other agents on your server. Use when you need to communicate with, query, or delegate tasks to another agent.
Langue du texte source : anglais
Identify and repair degradation in system prompt, external memory, and skills preventing you from following instructions or remembering information as well as you should.
Langue du texte source : anglais
Creates, edits, and migrates Letta Code statusline mods. Use when handling the /statusline command or continuing work started by /statusline.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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…
Langue du texte source : anglais
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.
Langue du texte source : anglais
Discover and install skills from Hermes, ClawHub, GitHub, and other registries. Load this skill whenever a user asks for a capability you don't already have — image generation, social media, email, calendar, finance, DevOps, search, browser automation, etc.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
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.
Langue du texte source : anglais
Guide for adding new LLM models to Letta Code. Use when the user wants to add support for a new model, needs to know valid model handles, or wants to update the model configuration. Covers models.json configuration, CI test matrix, and handle validation.
Langue du texte source : anglais