How do I install the Onboard skill?

Run npx skillmds@latest add thinkfleetai/onboard in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Onboard safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Onboard?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Onboard free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Onboard?

thinkfleetai (@thinkfleetai) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Onboard by thinkfleetai — Agent Skill

Name: Onboard
Author: thinkfleetai

Onboard

Set up MemMesh for a new project — verify the MCP server is wired, pick local vs hosted, import any existing project knowledge (MEMORY.md, CLAUDE.md, a mem0 export), and seed initial scopes. Use on first run in a repo, when the API key changes, or to re-run setup after config changes.

thinkfleetai ce8e1d9 1.4 KB Updated Sep 17, 2026

File contents

onboard

Get a project ready to use MemMesh.

1. Verify wiring

memmesh doctor        # binary + MCP config + skill presence

If the MCP server isn't connected, run npx @thinkfleet/memmesh install (see the memmesh-cli skill), then re-check.

2. Local or hosted?

Local (default): SQLite, no key, offline. Good for dev tools.
Hosted: set MEMMESH_API_KEY / sync.url in ~/.thinkfleet-memory/config.toml. Needed for cross-device sync, the full SDK, and server-side prediction/verticals.

3. Seed existing knowledge

If the repo already has durable context, import it (see the import skill): MEMORY.md, CLAUDE.md, an ADR folder, or a mem0 export (then consider memmesh-migrate for a full switch). Feed each item via memory_observe so the engine extracts + builds the graph, scoped project.

4. Confirm

Run stats to show what's now in scope, and remind the user of the two-rule loop: the agent will observe their messages and recall at session start automatically (the always-on memmesh skill). Nothing else to configure.

Frequently asked questions