Implements the Song et al. 2026 PaperOrchestra pipeline: five coordinated agents that transform raw experimental logs and a research idea into a conference-ready LaTeX paper with compiled PDF. The orchestrator runs outline generation, then parallelizes figure plotting and literature review (with Semantic Scholar integration), reconciles citations back into the outline, writes sections, and iteratively refines content. Ships with pre-flight validation scripts that check input density, TeX package availability, and idea-to-experiment consistency before burning tokens. The anti-leakage prompt from Appendix D.4 is mandatory across all LLM calls to keep outputs grounded in your data rather than regurgitating training set papers. Expect 50-70 LLM calls for a full run.
npx -y skills add ar9av/paperorchestra --skill paper-orchestra --agent claude-codeInstalls into .claude/skills of the current project.
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sickn33/antigravity-awesome-skills
kubesphere/kubesphere
supercent-io/skills-template