quick-plan

Write executable plans to .ai/plans/<slug>/final_plan.md.

1|Updated Apr 6, 2026
One-click install
npx skills add https://github.com/Honigbart/honeyflow --skill quick-plan-honigbart
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: quick-plan
Source: https://github.com/Honigbart/honeyflow/tree/main/quick-plan
Command: npx skills add https://github.com/Honigbart/honeyflow --skill quick-plan-honigbart

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables you to generate a concrete, executable plan directly from a small, well-understood task, bypassing the full brainstorm → critique → synthesize cycle.

Core Features & Use Cases

  • Direct plan creation: writes .ai/plans/<slug>/final_plan.md so downstream execution-and-review tools can run without extra steps.
  • Namespaced planning: creates a unique plan slug and directory for each task, preserving history for later reference.
  • Quick-start integration: supports a fast path when the user provides a clear task, enabling rapid execution.

Quick Start

Describe a small, well-defined task and I will generate a final_plan.md in the correct namespace for immediate execution.

Frequently Asked Questions about quick-plan

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

FAQPage Schema
How do I generate an executable plan directly from a task description?

Provide a small, well-defined task description to generate an executable plan directly. The system creates a final_plan.md file inside a unique namespaced directory for immediate downstream execution.

What is the fastest way to create an AI plan for a simple task?

The fastest way to create an AI plan for a simple task is bypassing the full brainstorm and critique cycle, directly writing the concrete execution steps into a final_plan.md file for immediate pipeline use.

Can I skip the brainstorm and critique phases for small, well-understood tasks?

Yes, you can skip the brainstorm and critique phases for well-understood tasks. This direct path creates a concrete execution plan in a namespaced directory without running the full synthesis cycle.

Where does the generated task plan get saved for downstream pipeline execution?

The generated task plan gets saved as final_plan.md inside the .ai/plans/<slug>/ directory. This namespaced structure preserves task history and allows downstream execution tools to run immediately.

Does this direct plan generation approach work for complex, ambiguous projects?

No, this direct plan generation approach does not work well for complex, ambiguous projects. It is designed specifically for small, well-understood tasks where a full brainstorm, critique, and synthesize cycle is unnecessary.