autoplan

Run sequential CEO, Design, and Engineering reviews with auto-decisions and audit logs.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/fghaffar/faystack --skill autoplan-fghaffar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: autoplan
Source: https://github.com/fghaffar/faystack/tree/main/autoplan
Command: npx skills add https://github.com/fghaffar/faystack --skill autoplan-fghaffar

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Many review workflows are fragmented, slow, and require repeated AskUserQuestion prompts that interrupt flow. autoplan consolidates CEO, design, and engineering reviews into a single, deterministic pipeline that auto-decides intermediate prompts using explicit principles, producing a fully reviewed plan with telemetry and restore points.

Core Features & Use Cases

  • Sequential Full-Pipeline Review: Runs CEO → Design → Eng reviews in strict order and enforces phase transition checks.
  • Auto-Decisions with Audit Trail: Applies six decision principles to answer intermediate questions, logs every automated choice, and surfaces taste decisions for final approval.
  • Safety and Restore: Creates a restore point before changes, writes local telemetry to ~/.gstack/analytics, and follows explicit filesystem and codex boundary rules to avoid leaking skill internals.
  • Use Case: Run autoplan on a feature branch to get a complete, production-ready plan, with architecture checks, design gaps surfaced, and merge-ready engineering tasks.

Quick Start

Run /autoplan to execute the full CEO, Design, and Eng review pipeline on the current plan and produce a reviewed plan file.

Frequently Asked Questions about autoplan

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

FAQPage Schema
How do I automate a code review pipeline for feature branches?

Automating sequential review pipelines works by running CEO, Design, and Eng reviews in strict order with phase transition checks, auto-deciding intermediate prompts using six decision principles while logging every choice and surfacing taste decisions for final approval.

What is decision automation for review workflows and how does it work?

Decision automation for review workflows applies six explicit decision principles to auto-decide intermediate AskUserQuestion prompts, logs every automated choice into an audit trail, and surfaces only taste decisions for final human approval.

How do I set up sequential CEO, Design, and Engineering reviews for production readiness?

Setting up sequential reviews for production readiness involves running the pipeline on a feature branch to get architecture checks, design gaps surfaced, and merge-ready engineering tasks, with a restore snapshot and telemetry writes created before changes.

Can I auto-decide AskUserQuestion prompts without interrupting my review flow?

You can auto-decide AskUserQuestion prompts by applying six decision principles to answer intermediate questions deterministically, consolidating fragmented review workflows into a single pipeline that logs every automated choice into an audit trail.

Does the automated review pipeline create restore points and telemetry logs?

The automated review pipeline creates a restore point before changes, writes local telemetry to ~/.gstack/analytics, and follows explicit filesystem and codex boundary rules to avoid leaking skill internals during the review process.

When should I not use an automated decision pipeline for code reviews?

You should not use an automated decision pipeline when your review workflow requires interactive human input for every intermediate prompt, or when your plan lacks the local gstack review SKILL.md files required for deterministic script execution and telemetry writes.