auto-paper-improvement-loop

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Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says "改论文", "improve paper", "论文润色循环", "auto improve", or wants to iteratively polish a generated paper.

AI & Automation 16,018 stars 1375 forks Updated today MIT

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Quality Score: 96/100

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50
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100
Description 5%
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Skill Content

# Auto Paper Improvement Loop: Review → Fix → Recompile > 🔒 **Do not wrap this skill in `/loop`, `/schedule`, or `CronCreate`.** It > already loops internally (review → fix → recompile) with its own round > structure and a deliberate fresh-reviewer bias guard each round (no > `codex-reply`). Re-asking it to "improve the paper" on a > wall-clock timer produces no new signal — quality changes when the *review* > changes, not when the clock ticks — and a timed re-run that also accepts its > own output to decide when to stop crosses into self-acquittal > (`acceptance-gate.md`). Schedule the *external wait that precedes it*, not the > improvement loop. See > [`shared-references/external-cadence.md`](../shared-references/external-cadence.md). Autonomously improve the paper at: **$ARGUMENTS** ## Context This skill is designed to run **after** Workflow 3 (`/paper-plan` → `/paper-figure` → `/paper-write` → `/paper-compile`). It takes a compiled paper and iteratively improves it through external LLM review. Unlike `/auto-review-loop` (which iterates on **research** — running experiments, collecting data, rewriting narrative), this skill iterates on **paper writing quality** — fixing theoretical inconsistencies, softening overclaims, adding missing content, and improving presentation. ## Constants - **MAX_ROUNDS = 2** — Two rounds of review→fix→recompile. Empirically, Round 1 catches structural issues (4→6/10), Round 2 catches remaining presentation issues (6→7/10). Diminishing ...

Details

Author
wanshuiyin
Repository
wanshuiyin/Auto-claude-code-research-in-sleep
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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