Iterate revision

Skill youngeun1209/oh-my-claudecode-research/skills/iterate-revision

Revise one manuscript section against the reviewer team until DONE, BLOCKED, or HALT. Loops `@paper-writer` ↔ `@reviewer` with a venue-specific reviewer brief, recording every iteration's issues + verdict to `reviews.json` and updating `paper.json.sections[name]` status / iter. The first OMCR engine — a worked example of how to compose `skills/orchestrate/phases/*` primitives into a domain-specific loop. Safe to re-run; safe to resume after BLOCKED or HALT.From its SKILL.md

Install

npx -y skills add youngeun1209/oh-my-claudecode-research --skill iterate-revision

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

7.9 KB, as published. Nobody here has run it

/iterate-revision

This engine runs the smallest viable orchestration shape: one section, one writer, one reviewer, looped until a verdict is reached. It is the proof the orchestration pattern works — Phase 2's four engines are mostly copy-and-vary on top of this one.

If you are reading this because Claude Code's skill auto-discovery surfaced it: invoke it via /iterate-revision <section-path>. Do not edit the manuscript or .claude/omcr-state/ by hand while a run is in flight.

When this skill is invoked, immediately execute the workflow below. Do not only restate or summarize these instructions back to the user.

Signature

/iterate-revision <section-path> [--max-iter N] [--venue VENUE] [--force] [--allow-tbd]

Flag	Default	Purpose
`--max-iter`	`3`	Hard cap. Reaching it without DONE/BLOCKED → HALT. Override via CLI or via `## Research stack` field `iterate_revision.max_iter`.
`--venue`	`paper.json.venue`	Reviewer strictness target. CLI wins; falls back to state; if neither is set, abort.
`--force`	`false`	Bypass the `status == approved` early-exit.
`--allow-tbd`	`false`	Proceed despite `[TBD:` markers in the section file, the per-section outline, or `paper.json.hypothesis` (Phase 1 decision Q2).

Examples:

/iterate-revision sections/results.tex — defaults; venue from paper.json
/iterate-revision sections/intro.tex --max-iter 5 --venue Nature
/iterate-revision sections/abstract.tex --venue NeurIPS --force

The loop

phase 01 — precheck (guards: file exists, venue resolvable, no [TBD: blockers, not approved)
phase 02 — draft-or-revise (@paper-writer)  ┐
phase 03 — review            (@reviewer)    │  repeated up to --max-iter
phase 04 — evaluate          (verdict rule) ┘
phase 05 — finalize (user summary + _run-log.jsonl append)

Loop body is phases 02 → 03 → 04. The loop itself is driven by skills/orchestrate/phases/04-loop.md; this engine just hands it a dispatch plan and a verdict rule.

Phase execution

Execute phases sequentially. For each phase, read the linked file and follow its instructions exactly.

Phase 1 — Precheck. Read phases/01-precheck.md.
Phase 2 — Draft or revise. Read phases/02-draft-or-revise.md.
Phase 3 — Review. Read phases/03-review.md.
Phase 4 — Evaluate. Read phases/04-evaluate.md.
Phase 5 — Finalize. Read phases/05-finalize.md.

Phases 02 → 03 → 04 form the loop body. The orchestrate loop primitive runs them up to --max-iter times.

Composition

This engine imports the following primitives from skills/orchestrate/:

phases/01-state-read.md — read paper.json (phase 01 of this engine) and reviews.json (phase 02 of this engine, for last-review lookup).
phases/02-dispatch.md — dispatch @paper-writer (phase 02) and @reviewer (phase 03) via the Agent tool with inlined persona bodies.
phases/03-evaluate.md — apply the verdict rule defined below; record the reviews.json entry verdict.
phases/04-loop.md — drive the writer + reviewer dispatch plan through up to max_iter iterations; own _run-log.jsonl writes; honor budget_tokens post-hoc.

This engine does not invent its own state-read, dispatch, or loop mechanics. If you find yourself replicating that logic inside a phase file, you're solving the wrong problem — fix the primitive, do not fork it.

Verdict rule

The verdict is computed at the end of each iteration's reviewer dispatch. Canonical rule (passed as a severity-threshold rule spec to orchestrate/phases/03-evaluate.md):

iter	critical	major	result
any	≥ 1	any	BLOCKED — critical issue requires structural fix
< max	0	≥ 1	CONTINUE — loop another iteration
< max	0	0	DONE — section approved
= max	0	≥ 1	HALT — iterations exhausted, majors remain
= max	0	0	DONE — finished on the last allowed iter

minor and nit issues never gate the verdict. They are logged to reviews.json and surfaced in the phase 05 summary.

The verdict drives paper.json.sections[name].status:

Verdict	Status set
DONE	`approved`
BLOCKED	`blocked`
HALT	`revising` (left open so the user can resume)
CONTINUE	`revising` (loop continues)

Cost model

Each iteration is 2 Agent-tool dispatches (writer + reviewer). With max_iter = 3, a typical run is ≤ 6 subagent calls. The cost_estimate_tokens: 24000 frontmatter field is a coarse upper-bound for /supervisor-drive budget gating (Phase 3 §6); actuals land in _run-log.jsonl post-hoc per Phase 0 decision §6.

Per-iter cost is dominated by the persona body inline (writer ~250 lines, reviewer ~200 lines) plus the section content. Long sections (>500 lines of LaTeX) compound this — the engine does not auto-trim; the user should split very long sections before running.

What this engine does NOT do

Does not track which issues were "already fixed" across iterations. Only the most recent review is passed to the writer (Phase 1 decision Q1). The reviewer's iter-N+1 read is what catches regressions.
Does not auto-call verify-citation when the reviewer flags a missing citation. Citation flags land as ordinary major/minor issues; the writer addresses them next iter or leaves a [CITE: ...] placeholder for @literature-curator. (Phase 1 decision Q3 — deferred to Phase 2 /respond-reviewer.)
Does not commit to git between iterations by default. Per-iter commit is an opt-in flag (passed to the loop primitive's on_iter_end slot); OMCR currently leaves it off.
Does not call another engine. Engines are leaves; if you need to chain, that is /supervisor-drive's job in Phase 3.
Does not rewrite main.tex or any non-section file. The writer touches the section file only.

Re-running policy

Already-approved section + no --force → phase 01 exits cleanly, no agent calls.
Already-approved section + --force → phase 01 flips status to revising, the loop runs normally.
BLOCKED section → phase 01 lets the run proceed; the user is expected to have addressed the critical issue manually before re-running. Iter counter continues.
HALT section → phase 01 lets the run proceed; iter counter continues from where it left off.
[TBD: marker in the section / outline / hypothesis + no --allow-tbd → phase 01 sets status = blocked-on-tbd and exits, listing each marker's location.