pi-autoresearch-bootstrap

Bootstrap a pi-autoresearch workflow by generating core session files and validating them.

1|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/AskTinNguyen/vesper-team-skills --skill pi-autoresearch-bootstrap
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pi-autoresearch-bootstrap
Source: https://github.com/AskTinNguyen/vesper-team-skills/tree/main/pi-autoresearch-bootstrap
Command: npx skills add https://github.com/AskTinNguyen/vesper-team-skills --skill pi-autoresearch-bootstrap

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Bootstraps a fresh pi-autoresearch workflow in a repository to set up intake, environment installation or local mounting, and creation of core session files so a Pi session can resume from files alone.

Core Features & Use Cases

  • Automatically collect intake inputs via pi.interview when available, or plain-text questions.
  • Create essential deliverables including autoresearch.md, autoresearch.sh, autoresearch.checks.sh, autoresearch.config.json, and PI_AUTORESEARCH_LAUNCH.md, with optional local package mounts via .pi/settings.json.
  • Provide a reproducible bootstrap path for fresh worktrees and new repos, enabling consistent Pi autoresearch sessions across environments.

Quick Start

Run this skill to bootstrap a fresh pi-autoresearch session in your repo by answering the intake questions and letting it generate and validate the required files.

Frequently Asked Questions about pi-autoresearch-bootstrap

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

FAQPage Schema
How do I bootstrap an automated research workflow in a new repository?

To bootstrap an automated research workflow, run this skill to answer intake questions and generate core session files. It creates autoresearch.md, shell scripts, config files, and launch instructions to enable reproducible automated research sessions.

What files are required to resume an automated research session from a fresh worktree?

Resuming an automated research session requires specific core files: autoresearch.md, autoresearch.sh, autoresearch.checks.sh, autoresearch.config.json, and PI_AUTORESEARCH_LAUNCH.md. This skill automatically generates and validates these artifacts during the bootstrap process.

How does intake collection work when setting up repository automation?

Intake collection for repository automation works by gathering inputs via an interactive interview when available, or through plain-text questions. This process captures your project requirements to accurately configure the generated environment and session files.

Can I mount local packages when bootstrapping a fresh automated research environment?

Yes, you can mount local packages when bootstrapping an automated research environment. The skill optionally generates a .pi/settings.json file to configure local package mounts alongside the required environment installation scripts.

Does bootstrapping an automated research workflow include environment validation?

Yes, bootstrapping an automated research workflow includes environment validation. The skill generates an autoresearch.checks.sh file and enforces a baseline validation workflow to ensure the repository setup is correct before sessions resume.