acquiring-skills
Acquiring New Skills
This skill teaches you how to safely discover and install skills from external sources.
SAFETY - READ THIS FIRST
Skills can contain:
- Markdown files (.md) - Risk: prompt injection, misleading instructions
- Scripts (Python, TypeScript, Bash) - Risk: malicious code execution
Trusted Sources (no user approval needed for download)
https://github.com/letta-ai/skills- Letta's community skillshttps://github.com/anthropics/skills- Anthropic's official skills
Untrusted Sources (ALWAYS verify with user)
For ANY source other than letta-ai or anthropics:
- Ask the user before downloading
- Explain where the skill comes from
- Get explicit approval
More from letta-ai/letta-code
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.
71syncing-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.
68finding-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.
65creating-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.
60migrating-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.
60working-in-parallel
Guide for working in parallel with other agents. Use when another agent is already working in the same directory, or when you need to work on multiple features simultaneously. Covers git worktrees as the recommended approach.
60