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Emergence Agentic Academic Writing Skill Implementing the Paper Ochestra Paradigm

by @symbolscience

High-rigor, multi-agent scholarly writing framework based on the PaperOrchestra methodology.

Versionv0.1.0
Downloads379
TERMINAL
clawhub install emergence-paper-orchestra

πŸ“– About This Skill


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:

    @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}, 
    }