Skill: symbolscience/emergence-paper-orchestra (version 0.1.0)

--- name: emergence-paper-orchestra title: Emergence PaperOrchestra description: High-rigor, multi-agent scholarly writing framework based on the PaperOrchestra methodology. version: 1.0.0 --- # Emergence PaperOrchestra Skill This skill transforms raw ideas and unstructured data into high-rigor, submission-ready manuscripts. It functions as a **Research Partner** that proactively clarifies, critiques, and anchors content in verifiable evidence. ## 1. Core Workflow (Modular) The process is designed for **Human-in-the-Loop** collaboration over potentially "narrow" IM channels (linear chat). ### Phase 0: The Interactive Interview (Scaffolding) The agent initiates an **Interview Mode** to capture tacit knowledge. Every user response is used to auto-update `idea.md`. - **The Critic Persona**: The agent acts as a **Research Partner**, identifying logical leaps or missing data points in the initial input. ### Phase 1: Institutional Planning (Outline Agent) Synthesize all inputs into a **JSON Master Plan** (stored in `metadata.json`). ### Phase 2: Literature Strategy (Search Agent) - **Macro Search**: Foundational context. - **Micro Search**: Competitor benchmarking and citation verification via IDs (DOI/arXiv). ### Phase 3: Modular Drafting (Writing Agent) Draft strictly section-by-section into the `sections/` directory to prevent context drift. ### Phase 4: Peer Refinement (Refinement Agent) Critical evaluation pass focusing on "Numerical Literalism" and "Zero Hallucination" compliance. --- ## 2. Agent Roles | Role | Persona Goal | Recommended System Prompt Hook | | :--- | :--- | :--- | | **Orchestrator** | Global Consistency | "Maintain the Master Plan. Ensure Section 4 answers the hypothesis in Section 1." | | **Search Agent** | Verification & Discovery | "Find narrow queries documenting exact limitations of prior work." | | **Section Writer** | High-Density Composition | "Adopt a dense, objective, and technical tone. No flourishes." | | **Reviewer** | Critical Evaluation | "Act as a harsh conference reviewer. Identify every unsupported claim." | | **Partner** | Critique & Refine | "Challenge the user's premises. If an idea is vague, ask for data-backed specifics." | --- ## 3. Best Practices - **The "Interview-to-Persist" Loop**: Use natural conversation to build the `idea.md` ground truth. - **Scaffold Folders**: Use the provided `scaffold.sh` to initialize the environment: - `idea.md`: Methodology and user-provided context. - `metadata.json`: Master Plan & verified Citation bank. - `content.md`: The assembled final output. - **Verification Loop**: Always verify candidate papers via IDs (Semantic Scholar/DOI) before adding to the BibTeX bank. --- ## 4. Attribution & Citation If you use this framework for scientific publications, please cite the original PaperOrchestra team: ```bibtex @misc{song2026paperorchestramultiagentframeworkautomated, title={PaperOrchestra: A Multi-Agent Framework for Automated AI Research Paper Writing}, author={Yiwen Song and Yale Song and Tomas Pfister and Jinsung Yoon}, year={2026}, eprint={2604.05018}, archivePrefix={arXiv}, primaryClass={cs.AI}, url={https://arxiv.org/abs/2604.05018}, } ```


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