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You describe what you want in plain English, an agent helps you write a spec in \*\*\*plain language, and \*codeplain renders the actual code. This is what [plain-forge](https://github.com/Codeplain-ai/plain-forge) sets up: a toolkit of skills, rules, and docs that plugs into your AI coding agent of choice — Claude Code, Codex, ForgeCode, OpenCode, or any other agent that reads from a standard skills directory — and turns a conversation into a complete `.plain` spec, then keeps maintaining it across the lifetime of the project.
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If you didn't install it during step 1, run it any time:
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If you didn't install it during step 1, run it any time using your favorite Node package runner:
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```bash
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npx plain-forge install
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```
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The same command works with any other runner — pick whichever matches your toolchain:
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```bash
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# npm (bundled with Node.js)
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npx plain-forge install
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# pnpm
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pnpm dlx plain-forge install
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# Bun
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bunx plain-forge install
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# Yarn (Berry, v2+)
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yarn dlx plain-forge install
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# Deno (npm: specifier, needs permissions to write the skills directory)
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deno run -A npm:plain-forge install
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```
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Every runner downloads `plain-forge` on demand and runs it without adding it to your project's dependencies. The package exposes a `plain-forge` binary, so no runner needs an extra `--package` flag.
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`install` fails if plain-forge is already installed at the target — to refresh an existing installation to the latest skills, rules, and docs, use `update` instead (swap in your runner of choice):
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```bash
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npx plain-forge update
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```
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### 3. Convert specs into tested and validated code
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\*codeplain extends coding agents with agentic skills for working at the specification layer, and with tools that convert specifications into tested and validated implementation code.
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_Note: Rendering will take a few minutes to complete._
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- The system will generate a Python application in the `build` directory. You can run it with:
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- The system will generate a Python application in the `dist` directory. You can run it with:
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