instruct

Name: instruct
Availability: InStock
Author: ChazzCoin

Convert human explanations into unambiguous AI-ready instruction recipes with atomic steps and flagged assumptions.

Updated Apr 28, 2026

Search Tags:#decomposition #assumptions #recipe #ai-prompt #dry-run #atomic-steps #instruct

Ready to run

npx skills add https://github.com/ChazzCoin/claude-kit --skill instruct

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: instruct
Source: https://github.com/ChazzCoin/claude-kit/tree/main/kit/skills/instruct
Command: npx skills add https://github.com/ChazzCoin/claude-kit --skill instruct

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Converts a human explanation of how to do something into an unambiguous AI-formatted instruction recipe. It decomposes the input into the smallest sensible deliverable steps, performs a mock run-through to catch missing or out-of-order steps, flags every assumption inline, and returns a formatted recipe that an AI (or human) can follow without guessing. It is a pre-task: the deliverable is the instruction set and it does not execute the steps.

Core Features & Use Cases

Decomposes vague instructions into atomic, verifiable steps with a fixed recipe shape.
Performs a mock run-through to surface gaps and assumptions, recording them for traceability.
Produces a ready-to-use instruction recipe that guides subsequent AI sessions or human operators without executing the steps.

Quick Start

Paste messy instructions and run /instruct to receive a clean, atomic step recipe.

Frequently Asked Questions about instruct

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

FAQPage Schema

How do I turn messy notes into clear AI instructions?▼

To turn messy notes into clear AI instructions, paste your rough task lists or brain-dumps into the chat. The tool decomposes the prose into atomic, verifiable steps and returns a formatted, unambiguous instruction recipe.

What is the best way to format vague task lists for AI processing?▼

The best way to format vague task lists is to decompose them into atomic steps with a fixed recipe shape. This process flags inline assumptions and includes a mock run-through to catch missing or out-of-order steps before the AI executes the task.

How do I flag assumptions and gaps in my AI prompt instructions?▼

To flag assumptions and gaps in AI prompt instructions, the system performs a mock run-through of your decomposed steps. This dry-run surfaces missing dependencies and records inline assumptions directly within the generated instruction recipe for traceability.

Does this instruction recipe tool execute the steps it generates?▼

No, the instruction recipe tool does not execute the steps. It acts strictly as a pre-task that produces a chat-only, non-executing formatted recipe, ensuring an AI or human operator can follow the atomic steps without guessing.

Can I use brain-dumps and prose to generate step-by-step AI recipes?▼

Yes, you can use brain-dumps and prose to generate step-by-step AI recipes. The tool accepts unstructured human explanations and converts them into a structured, atomic recipe format ready to guide subsequent AI work.

Why do my AI prompts fail when I provide rough task lists?▼

AI prompts often fail with rough task lists because they lack atomic, verifiable steps. Converting your notes into a structured instruction recipe with a mock run-through prevents guessing by surfacing gaps and flagging inline assumptions.