pmm-onboard

Seed and refresh PMM user identity into user.md and secrets.md.

15|8|Updated Mar 21, 2026
One-click install
npx skills add https://github.com/NominexHQ/pmm-plugin --skill pmm-onboard
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pmm-onboard
Source: https://github.com/NominexHQ/pmm-plugin/tree/main/local/pmm-onboard
Command: npx skills add https://github.com/NominexHQ/pmm-plugin --skill pmm-onboard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PMM needs a reliable, privacy-safe identity layer for every new agent, but onboarding through other AIs or outdated profiles leaves gaps, so this skill captures operative identity and routes sensitive data before work begins.

Core Features & Use Cases

  • Extraction mode: Provide the previous AI's summary so the skill maps each section into user.md and secrets.md, asks targeted follow-ups for gaps, and commits the identity file.
  • Interview mode: Run five to seven focused questions when no prior AI exists, translating the answers into operative communication, cognitive, rhythm, and principle sections along with PII routing.
  • Refresh mode & gating: Diff current user.md, offer re-extract or re-interview paths, respect org-wide onboard_agent restrictions, and teach the maintain cycle to append calibration or anti-pattern notes without changing base sections.

Quick Start

Provide the extraction output or interview answers while seeding the user identity layer so the assistant writes user.md and secrets.md through PMM's onboarding flow.

Frequently Asked Questions about pmm-onboard

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I seed a user identity layer for AI agents using prior extractions?

To seed a user identity layer from prior AI extractions, provide the previous AI's summary so the onboarding flow can map each section into user.md and secrets.md, ask targeted follow-ups for gaps, and commit the identity file.

What is the best way to onboard a new AI agent when no prior profile exists?

Onboarding a new AI agent without a prior profile is handled through an interview mode that runs five to seven focused questions, translating the answers into operative communication, cognitive, rhythm, and principle sections alongside PII routing.

How do I refresh an outdated user.md profile for my AI assistant?

To refresh an outdated user.md profile, the system diffs the current file and offers re-extract or re-interview paths, while teaching the maintain cycle to append calibration or anti-pattern notes without changing base sections.

How does PII routing work during AI memory onboarding?

PII routing during onboarding captures sensitive data and routes it securely into a dedicated secrets.md file, ensuring the primary user.md identity layer remains privacy-safe for agent operations.

Can I use this onboarding flow for org-wide agent deployments?

Yes, you can use this flow for org-wide deployments because it respects onboard_agent restrictions and maintains gating controls to manage identity seeding across multiple users.

What are the limitations when updating base sections in a user.md file?

When updating a user.md file, a key limitation is that the maintain cycle only appends calibration or anti-pattern notes, meaning you cannot change the foundational base sections directly through the refresh mode.