# Lisa Onboard Me

> Onboard a user to the project via its LLM Wiki: interview them about themselves in relation to the project, then give a guided tour and sample questions. Read-mostly by default (session-local); --save-memory persists the capture to project-scoped memory only. No PRs, no PII written into the wiki, never global memory.

- Skill: `codyswanngt/lisa-onboard-me-2` (Agent Skill)
- Install (CLI): `npx skillmds@latest add codyswanngt/lisa-onboard-me-2`
- Raw SKILL.md: https://api.skillmd.com/api/skills/codyswanngt/lisa-onboard-me-2/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: codyswanngt (https://skillmd.com/u/codyswanngt)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/codyswanngt/lisa-onboard-me-2

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## Lisa Command Compatibility

- Original Claude command: `/lisa:onboard-me`
- OpenCode invocation: `$lisa-onboard-me` or a plain-English request that matches this skill.
- Treat the user's surrounding request as the command arguments.
- Claude argument hint: `[--save-memory] [--write-audience-note]`

Use the lisa-wiki-onboard-me skill to onboard the user: briefly interview their role and goals (read-mostly, session-local by default; with --save-memory persist to project-scoped memory only — never global memory, never PII into the wiki), then summarize what the project is, show the folder map, and offer sample /query prompts tuned to their role. Use the user's surrounding request as this command's arguments.