pa-creator

Generate a self-contained assistant directory from interview data.

Updated Apr 25, 2026

Search Tags:#automation #scaffolding #ai-assistant #bootstrap #yaml-frontmatter #directory-generation

Ready to run

npx skills add https://github.com/somsubhro/personal-assistant-kit --skill pa-creator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: pa-creator
Source: https://github.com/somsubhro/personal-assistant-kit/tree/main/skills/pa-creator
Command: npx skills add https://github.com/somsubhro/personal-assistant-kit --skill pa-creator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically scaffolds a complete, self-contained assistant directory from interview data, so you can deploy an assistant without depending on the bootstrap repo.

Core Features & Use Cases

Interview-driven directory generation: captures identity, memory, behaviors, and the full scaffolding.
Produces CLAUDE.md/AGENTS.md, PERSONA.md, memory, HANDOFF, logs, projects, docs, and a skills hierarchy ready to adapt to ongoing sessions.
Enables the assistant to be deployed independently, with deterministic outputs and a clear structure.

Quick Start

Run pa-init.sh and answer the prompts to generate your self-contained assistant directory.

Frequently Asked Questions about pa-creator

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

FAQPage Schema

How do I bootstrap a self-contained AI assistant directory?▼

To bootstrap a self-contained AI assistant, this Skill generates a complete directory structure from interview data, covering identity, memory, persona, and project scaffolding for independent deployment.

What is interview-driven scaffolding for AI assistants?▼

Interview-driven scaffolding is a process that captures identity, memory, and behaviors through prompts, then automatically generates CLAUDE.md, PERSONA.md, logs, and a skills hierarchy for ongoing session management.

How do I generate deterministic project structures for CLAUDE.md and AGENTS.md?▼

You generate deterministic project structures by using a standard folder layout with frontmatter-driven files, ensuring consistent outputs for CLAUDE.md, AGENTS.md, memory, and logs across sessions.

Can I deploy an AI assistant without depending on the original bootstrap repository?▼

Yes, you can deploy an assistant independently because the scaffolding process creates a fully self-contained directory that includes all necessary skills, memory, and configuration files detached from the bootstrap repo.

What's the best way to automate AI assistant persona and memory setup?▼

The best way to automate persona and memory setup is running an initialization script that uses interview prompts to capture behaviors, then automatically scaffolds the required files and directory hierarchy.

Does this assistant scaffolding process require external dependencies?▼

No, this assistant scaffolding process requires no external dependencies, allowing you to generate a complete, self-contained directory structure using only the base bootstrap and your interview inputs.