letta-ai

Set up and run LettaBot - a multi-channel AI assistant for Telegram, Slack, Discord, WhatsApp, and Signal. Supports both interactive wizard and non-interactive (agent-friendly) configuration.

Reply with voice memos using text-to-speech. Use when the user sends a voice message, asks for an audio reply, or when a voice response would be more natural.

Post, reply, like, and repost on Bluesky using the lettabot-bluesky CLI. Read-only by default; explicit actions required.

Create and manage scheduled tasks (cron jobs) that send you messages at specified times.

Manage Linear issues via GraphQL API. List, filter, update, prioritize, comment, and search issues. Use when the user asks about Linear, issues, project management, or backlog.

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.

Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks Clawdbot to add a note, list notes, search notes, or manage note folders.

Manage Apple Reminders via the `remindctl` CLI on macOS (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.

Builds and debugs Letta Code channels, including first-party channel adapters and dynamic user channel plugins under ~/.letta/channels. Use when adding Telegram, WhatsApp, Bluesky, Slack, Discord, or custom channel support; testing channel routing, pairing,…

Test any GUI app or change on a Daytona Linux (Ubuntu xfce4 + noVNC) remote desktop sandbox. Use to launch a GUI program, sync a local project, take a screenshot, record a video, or share a clickable live-desktop link with a teammate. Generic — the only…

Test any GUI app or change on a Daytona Windows remote desktop sandbox. Use to launch a GUI program, sync a local project, take a screenshot, record a video, or share a clickable live-desktop link with a teammate. Generic — the only dependency is Daytona. For…

Configures Letta agents' own runtime behavior, including model, context window, system prompt, reasoning, conversation overrides, compaction settings, and compaction prompts. Use when an agent or user asks to self-modify, tune summarization/compaction, change…

Sets Letta Desktop and Letta Code agent profile images by writing profile.png into an agent MemFS repository. Use when the user asks to add, change, generate, or fix an agent avatar, profile picture, profile image, or Desktop agent photo.

Navigates archived ChatGPT or Claude-style conversation exports and a MemFS reference archive on demand. Use when recalling what a past assistant knew, searching old conversations, rendering specific chats, seeding reference memory from export sidecars, or…

Migrates deprecated Letta Filesystem folders/files to MemFS using markdown document corpora, chunking, local lexical search, and QMD semantic search via the memfs-search skill. Use when replacing folders.files.upload, working with PDFs or document QA, or…

Semantic search over agent memory files. Use when you need to find conceptually related memory blocks, discover forgotten reference files, check what you already know before creating new memory, or search beyond exact keyword matching. Currently supports QMD…

Convert text to speech using ElevenLabs voice AI through Letta. Use when generating audio from text, sending a voice message, reading text aloud, creating voiceovers, speaking in your own voice, or synthesizing speech in 90+ languages.

Investigate and repair an agent's context — memory, system prompt, and skills — using observed behavior as evidence. Use when the user asks to audit, clean up, or fix your memory or context, or runs /doctor. Do not load for routine memory reads or edits, or…

Guide for creating effective skills. Use when creating a new skill or updating an existing one that extends Letta Code's capabilities with specialized knowledge, workflows, or tool integrations, whether a user asks for it or a reusable workflow is worth…

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.

Maintains an agent's core memory, the editable part of its system prompt. Use to modify the agent's core behavior, embed critical knowledge (needed on every turn), or instruct the agent on how to use deferred memory.

Maintains deferred memory, which stores accumulated knowledge, analysis, and observations made by the agent over time. Use when saving knowledge (e.g. about a person, project, repository, system, or event). Do NOT use for managing skills, prompts, or for…

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…

Diagnose and repair MemFS repository setup, remote sync, authentication failures, optional backup remotes, or merge/rebase conflicts. Do not load for routine memory reads or edits.

Social conduct and norms for AI agents operating on Bluesky and X through social-cli. Hard rules, platform-specific norms, and engagement principles. Load this before any posting, replying, following, liking, or DM behavior — especially from a new account or…

Create public source-tracking collections on Semble after posting threads. Creates a Semble collection linking the thread post and all cited sources with notes on what claims they support. Use after posting any thread with cited sources, or when the user asks…

Publish long-form markdown content to GreenGale (ATProtocol-native blogging). Use when asked to publish a blog post, write an article, or post long-form content.

Skill for GitHub Actions CI environment. Use when running inside a GitHub Actions workflow to update tracking comments, commit code, and interact with GitHub.

Skill for handling PR code reviews. Use when triggered by a PR review comment, review request, or when asked to review code changes. Provides workflow for reading review comments, understanding feedback, and iterating on changes.

Manage Linear issues via GraphQL API. List, filter, update, prioritize, comment, and search issues. Use when the user asks about Linear, issues, project management, or backlog.

Verify factual claims before adding them to agent memory blocks. Use this skill when proposing FAQ entries, documentation updates, or any factual statements about Letta features, APIs, or behavior. Prevents confident-but-wrong assertions.

Exports a Cloud agent's settings, main chat's in-context messages, and committed Git memory history into a private folder. Creates a new Cloud agent from that backup with restored settings and memory but an empty chat. Use for Cloud agent backups, downloads,…

Migrates agents from the retired Python Letta server's PostgreSQL database into Letta Code's local backend/App Server. Use when moving legacy agents, message history, and attached memory blocks into the current local backend and converting block memory to…

Contributes an agent to the letta-ai/agent-file directory. Use when setting up a new agent (.af file) for publication, including directory creation, avatar processing, file placement, and structure verification. Triggers on requests to release, publish, or…

Develops and tests the letta-ai/letta-acp adapter. Use when changing ACP protocol handling, Letta Agent SDK integration, sessions, streaming, tool calls, approvals, cancellation, editor filesystem delegation, slash commands, backends, acpx compatibility,…

Creates and updates the public ezra-memory repository from Ezra's live MemFS using a strict allowlist, synthetic examples, privacy scans, fresh-history safeguards, and approval-gated publishing. Use when asked to sanitize, redact, review, package, or publish…