letta-fleet-management SKILL.md skillA
letta-fleet-management from letta-ai/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add letta-ai/skills/letta-fleet-management@git:20260221.84f73cdPins git:20260221.84f73cd in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- letta-ai/skills
- Path
letta/fleet-management/SKILL.md- Versions recorded
- 2
- Latest version
- git:20260221.84f73cd, committed Feb 21, 2026
- First version recorded
- Jan 7, 2026
- Size
- 6,874 bytes
- Repository stars
- 152
- License
- a license file GitHub does not identify
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, folders, canary deployments, multi-tenancy, and bulk operations.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# lettactl
kubectl-style CLI for managing Letta AI agent fleets declaratively.
## When to Use
- Deploying multiple agents with shared configurations
- Managing agent memory blocks, tools, and folders
- Applying templates to existing agents
- Running canary deployments before promoting to production
- Multi-tenant agent management (B2B / B2B2C)
- Bulk messaging across agent fleets
- Importing/exporting agents between environments
- Analyzing agent memory health (self-diagnosis)
- Calibrating agents with first-message boot sequences
- Programmatic fleet management via SDK
## Core Workflow
1. Define agents in `fleet.yaml`
2. Apply with `lettactl apply -f fleet.yaml`
3. Verify with `lettactl get agents` and `lettactl describe agent <name>`
## Fleet YAML Structure
```yaml
shared_blocks:
- name: company-context
description: Shared company knowledge
limit: 5000
from_file: ./context/company.md
shared_folders:
- name: brand_docs
files:
- "docs/*.md"
mcp_servers:
- name: firecrawl
type: sse
server_url: "https://sse.firecrawl.dev"
auth_header: "Authorization"
auth_token: "Bearer ${FIRECRAWL_API_KEY}"
agents:
- name: support-agent
…Read the whole file at its exact version.
How to install
mdr add letta-ai/skills/letta-fleet-management@sha256:5efa5b4bcf4cf9afThe line at the top of this page pins the label git:20260221.84f73cd, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_mq27dwjlqvnhdfrf)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 2 versions of this file, between Jan 7, 2026 and Feb 21, 2026, about one every 45 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260221.84f73cd latest | 2026-02-21 | 84f73cd | 6,874 B | A | view · diff |
| git:20260107.fb84405 | 2026-01-07 | fb84405 | 2,847 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (6874 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
letta-ai/skills · 152 stars · license a license file GitHub does not identify · pushed 2026-10-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mq27dwjlqvnhdfrf GET https://markdownregistry.com/api/v1/resolve?ref=letta-ai/skills/letta-fleet-management GET https://markdownregistry.com/api/v1/blob/5efa5b4bcf4cf9af3ad3de760e0ab1e281e6cb8bb19f8d334e774b275490dfd3
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.