letta-ai
@letta-ai Organization
Public Skills
llm-provider-usage-statistics
by letta-ai
Reference guide for token counting and prefix caching across LLM providers (OpenAI, Anthropic, Gemini). Use when debugging token counts or optimizing prefix caching.
DB migrations and schema changes
by letta-ai
Workflows and commands for managing Alembic database migrations and schema changes in the letta-cloud core app, including using uv, just, LETTA_PG_URI, and switching between SQLite and Postgres.
adding-models
by letta-ai
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.
obsidian-cli
by letta-ai
Work with Obsidian vaults using the official Obsidian CLI. Read, create, append, search, and manage notes, daily notes, properties, tags, tasks, sync, and more from the terminal. Use when the user mentions Obsidian, notes, vault, daily notes, or when working with markdown knowledge bases. Requires Obsidian desktop app running with CLI enabled in Settings > General.
skill-development
by letta-ai
Create and contribute skills to the communal knowledge base. Use when creating new skills, updating existing skills, or contributing learnings back to the repository.
google-workspace
by letta-ai
Connect to Gmail and Google Calendar via OAuth 2.0. Use when users want to search/read emails, create drafts, search calendar events, check availability, or schedule meetings. Triggers on queries about email, inbox, calendar, schedule, or meetings.
letta-configuration
by letta-ai
Configure LLM models and providers for Letta agents and servers. Use when setting model handles, adjusting temperature/tokens, configuring provider-specific settings, setting up BYOK providers, or configuring self-hosted deployments with environment variables.
letta-api-client
by letta-ai
Build applications with the Letta API — a model-agnostic, stateful API for building persistent agents with memory and long-term learning. Covers SDK patterns for Python and TypeScript. Includes 24 working code examples.
linear
by letta-ai
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.
slack
by letta-ai
Search messages, read threads, and send messages in Slack. Use when looking up discussions, finding context about a topic, or sending notifications to channels.
morph-warpgrep
by letta-ai
Integration guide for Morph's WarpGrep (fast agentic code search) and Fast Apply (10,500 tok/s code editing). Use when building coding agents that need fast, accurate code search or need to apply AI-generated edits to code efficiently. Particularly useful for large codebases, deep logic queries, bug tracing, and code path analysis.
letta-development-guide
by letta-ai
Comprehensive guide for developing Letta agents, including architecture selection, memory design, model selection, and tool configuration. Use when building or troubleshooting Letta agents.
extracting-pdf-text
by letta-ai
Extract text from PDFs for LLM consumption. Use when processing PDFs for RAG, document analysis, or text extraction. Supports API services (Mistral OCR) and local tools (PyMuPDF, pdfplumber). Handles text-based PDFs, tables, and scanned documents with OCR.
yelp-search
by letta-ai
Search Yelp for local businesses, get contact info, ratings, and hours. Use when finding services (cleaners, groomers, restaurants, etc.), looking up business phone numbers to text, or checking ratings before booking. Triggers on queries about finding businesses, restaurants, services, or "look up on Yelp".
imessage
by letta-ai
Send and read iMessages/SMS from macOS. Use for texting contacts, scheduling services, or automating message-based workflows. Triggers on queries about texting, messaging, SMS, iMessage, or contacting someone via text.
Letta Conversations API
by letta-ai
Guide for using the Letta Conversations API to manage isolated message threads on agents. Use when building multi-user chat applications, session management, or any scenario requiring separate conversation contexts on a single agent.
letta-fleet-management
by letta-ai
Manage Letta AI agent fleets declaratively with kubectl-style CLI. Use when creating, updating, or managing multiple Letta agents with shared configurations, memory blocks, tools, and folders.
learning-sdk-integration
by letta-ai
Integration patterns and best practices for adding persistent memory to LLM agents using the Letta Learning SDK
github-action
by letta-ai
Skill for GitHub Actions CI environment. Use when running inside a GitHub Actions workflow to update tracking comments, commit code, and interact with GitHub.
code-review
by letta-ai
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.