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directional-prompting

Outcome-first plus directional language. A two-layer skill for writing prompts, agent directives, and skill descriptions. Works in Claude Code and Codex CLI.

AI AgentsMIT 136 13Health 72
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What is it?

What it is

A two-layer skill for writing prompts, agent directives, skill descriptions, slash commands, and anywhere else an LLM reads instructions. Works the same in **Claude Code** and **OpenAI Codex CLI**.

Why it exists

Outcome-first plus directional language. A two-layer skill for writing prompts, agent directives, and skill descriptions. Works in Claude Code and Codex CLI.

Who should use it

Teams building with multi-language who want an open-source, self-hosted option.

Who should avoid it

Teams that need a fully managed SaaS with enterprise SLAs out of the box.

How it works

A quick walkthrough in plain English

How directional-prompting works

Step 1 of 3

You interact with it

Open directional-prompting, send a request, or connect it to your stack.

Features

Open source
Documented setup

Advantages

  • Open source (MIT)
  • Active multi-language ecosystem
  • Self-hosted deployment options

Disadvantages

  • Requires operational ownership for self-hosted setups
  • Community support varies by project maturity

Installation

native

**After** — outcome on top, directional inside:

FAQ

What is directional-prompting?

directional-prompting is an open-source project licensed under MIT.

What language is directional-prompting built with?

Primary language: multi-language.

Is it free to use?

Yes. Licensed under MIT. Check the license for commercial use.

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