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8 changes: 1 addition & 7 deletions docs/quickstart.md
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Expand Up @@ -7,7 +7,7 @@ This guide will help you get started with Spec-Driven Development using Spec Kit
> - CLI: run the `specify` command (no leading slash) in your terminal.
> - Slash commands (AI assistant): use `/speckit.specify`, `/speckit.plan`, etc., inside an AI assistant or editor that supports slash commands (for example, GitHub Copilot Chat). Do not remove the leading slash — these commands rely on the slash prefix to trigger the assistant correctly.
>
> **Note**: The original command was `/specify`, but it has been renamed to `/speckit.*` (e.g., `/speckit.specify`, `/speckit.plan`) to avoid conflicts with other tools. Use the `/speckit.` prefix for all slash commands.
> **Note**: Spec Kit slash commands use the `/speckit.` prefix (for example, `/speckit.specify` and `/speckit.plan`). Use the `/speckit.` prefix for all slash commands.
>
> See the [VS Code Usage Guide](vscode-usage.md) for details on where to run each type of command.

Expand Down Expand Up @@ -55,12 +55,6 @@ Example (slash command used in the assistant/chat):
Note: Do NOT change or implement this spec; only return the spec text focusing on requirements and acceptance criteria.
```

If you prefer the terminal, you can still run the CLI version (no leading slash):

```bash
specify init my-project
```

### 3. Create a Technical Implementation Plan

Use the plan command to provide your tech stack and architecture choices.
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2 changes: 1 addition & 1 deletion docs/vscode-usage.md
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Expand Up @@ -33,7 +33,7 @@ After launching VS Code you may still need to follow the sign-in flow the first

The Copilot Chat input is a conversational interface only — it does not run shell/CLI commands on your machine. To actually run `specify` (or any other CLI command supplied by this repo), use the VS Code integrated terminal:

1. Open the integrated terminal (View > Terminal or Ctrl+`).
1. Open the integrated terminal (View > Terminal or Ctrl+\`).
2. Make sure you're in the project folder (the same folder that contains the repository files).
3. Activate your Python environment and install the project if needed (example using a virtual environment):

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