بنقرة واحدة
are-plan
Compare AI planning quality with and without ARE documentation (experimental)
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Compare AI planning quality with and without ARE documentation (experimental)
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Show available ARE commands and usage guide
Show telemetry dashboard (costs, tokens, traces) (experimental)
Execute implementation with and without ARE documentation (experimental)
Reconstruct project from specification documents (experimental)
Generate project specification from AGENTS.md docs (experimental)
Delete all generated documentation artifacts (.sum, AGENTS.md, plan)
| name | are-plan |
| description | Compare AI planning quality with and without ARE documentation (experimental) |
| disable-model-invocation | true |
Compare AI planning quality with and without ARE documentation.
Run the plan command to create an A/B comparison of AI planning quality.Read version: Read .claude/ARE-VERSION → store as $VERSION. Show the user: agents-reverse-engineer v$VERSION
Run the plan command:
npx agents-reverse-engineer@$VERSION plan --backend claude $ARGUMENTS
Wait for completion — the command runs two sequential AI planning sessions (without docs, then with docs) and outputs a comparison table.
On completion, summarize the comparison results:
--eval was used)This creates two git branches from HEAD and runs an AI planner in each:
The comparison measures how much ARE documentation improves AI planning quality.
Options:
--eval: Run AI quality evaluator on both plans (5-point rubric)--eval-model <name>: Model for the evaluator (default: same as --model)--model <name>: AI model to use for planning--dry-run: Show what would happen without executing--list: List all saved plan comparisons--show <id>: View a previous comparison by date--force: Overwrite existing branches for the same task--debug: Show verbose AI execution details