Letta Ai

This skill guides managing Alembic migrations and schema changes for letta-cloud core, enabling safe Postgres or SQLite transitions and upgrades.

This skill helps you manage git-backed memory repos for memory-first coding agents, enabling versioned memory blocks, bidirectional sync, and automated

This skill guides you through adding a new LLM model to Letta Code, including model handles, configuration, and CI testing.

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.

This skill helps you safely discover and install external skills from trusted sources to bootstrap capabilities.

This skill helps you connect to MCP servers and convert them into reusable tools, accelerating repeated integrations.

This skill guides you in designing effective Letta Code skills, including structure, references, and workflows for reliable extensions.

This skill helps you debug token counts and optimize prefix caching across OpenAI, Anthropic, and Gemini by applying provider-specific usage rules.

This skill enables you to message other agents on the Letta server to query knowledge, coordinate tasks, and share information.

This skill helps you bootstrap agent memory by discovering and searching Claude Code and Codex histories to surface context.

This skill helps you work in parallel with other agents using git worktrees, keeping changes isolated while sharing the same repository history.