# Are Implement

> Execute implementation with and without ARE documentation (experimental) Use when this capability is needed.

- Skill: `tomevault-io/are-implement` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add tomevault-io/are-implement`
- Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/are-implement/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Docs & Writing
- Author: tomevault-io (https://skillmd.com/u/tomevault-io)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/tomevault-io/are-implement

---


Execute the implementation phase with and without ARE documentation to measure impact.

<execution>
Run the implement command to execute code changes in both environments.

## Steps

1. **Read version**: Read `.claude/ARE-VERSION` → store as `$VERSION`. Show the user: `agents-reverse-engineer v$VERSION`

2. **Run the implement command**:
   ```bash
   npx agents-reverse-engineer@$VERSION implement --backend claude $ARGUMENTS
   ```
   Note: When `--plan-id <id>` is provided, the task description is loaded from the stored plan — no need to pass it explicitly.

3. **Wait for completion** — the command runs two sequential AI implementation sessions (without docs, then with docs) and outputs a comparison table.

4. **On completion**, summarize the comparison results:
   - Implementation metrics (files created/modified, lines added/deleted)
   - Test results (if `--run-tests` was used)
   - Build and lint results (if `--run-build` / `--run-lint` was used)
   - Cost and latency comparison
   - Quality evaluation scores (if `--eval` was used)

This re-uses branches created by `/are-plan` and executes the implementation in both worktrees:
- **With ARE docs**: Full documentation available during implementation
- **Without ARE docs**: Source code only (ARE artifacts stripped)

The comparison measures how much ARE documentation improves implementation quality.

**Options:**
- `--eval`: Run AI quality evaluator on both implementations
- `--eval-model <name>`: Model for the evaluator (default: same as --model)
- `--model <name>`: AI model to use for implementation
- `--task-slug <slug>`: Reference existing plan by slug (default: auto-generate from task)
- `--plan-id <id>`: Reference existing plan by ID (shown by `are plan` on completion)
- `--run-tests`: Execute test suite and include results in metrics
- `--run-build`: Execute build and verify success
- `--run-lint`: Run linter and include error/warning counts
- `--dry-run`: Show what would happen without executing
- `--list`: List all saved implementation comparisons
- `--show <id>`: View a previous comparison by date
- `--force`: Overwrite existing branches for the same task
- `--debug`: Show verbose AI execution details
</execution>

---
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<!-- tomevault:4.0:skill_md:2026-04-11 -->