OpenAgentSkill Registry Manifest
Skill: auto-paper-improvement-loop
Slug: wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop
Category: research
Description: 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.

Agent fit:
- Decision: 100/100 Production-ready
- Primary fit: Workflow automation
- Role: Primary pick

Supply profile:
- Track: Research and knowledge work
- Scenario: RAG and knowledge
- Applicable agents: Claude Code, OpenAI Agents, CLI, Codex, Cursor
- Maintenance: 2d since push
- Risk: Needs review

Trust:
- Trust score: 71/100 Manual review
- Audit: 85/100 Needs review

Attribution:
- Status: Agent submitted
- Source: Agent submitted
- Creator: wanshuiyin
- Claim URL: https://www.openagentskill.com/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop#claim-this-skill

Install:
npx skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill auto-paper-improvement-loop

URLs:
- Web: https://www.openagentskill.com/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop
- API: https://www.openagentskill.com/api/agent/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop
- Install API: https://www.openagentskill.com/api/skills/wanshuiyin-auto-claude-code-research-in-sleep-auto-paper-improvement-loop/install
- Repository: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/auto-paper-improvement-loop