# Panel Review Loop

> Iteratively review and improve a Fallow user-facing surface across representative real-world projects until the panel has no blocking concerns.

- Skill: `fallow-rs/panel-review-loop` (Agent Skill)
- Install (CLI): `npx skillmds@latest add fallow-rs/panel-review-loop`
- Raw SKILL.md: https://api.skillmd.com/api/skills/fallow-rs/panel-review-loop/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: fallow-rs (https://skillmd.com/u/fallow-rs)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/fallow-rs/panel-review-loop

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# Panel review loop

The real-world corpus is intentionally untracked. Before its first use, follow
the [benchmark setup](../../../BENCHMARKS.md#comparative-benchmarks) and run
`npm --prefix benchmarks run download-fixtures`.

1. Define the user-visible surface and success criteria.
2. Select representative projects from `benchmarks/fixtures/real-world/`.
3. Capture actual output for each project.
4. Run `panel-review` on the evidence, not on an intended answer.
5. Implement the smallest coherent improvement that addresses consensus.
6. Re-run the same corpus and compare behavior.
7. Stop when the panel has no blocks and further changes do not materially
   improve the surface.

Keep the corpus stable across iterations. Preserve output contracts unless the
plan explicitly approves a versioned change.