research-matrix-builder

Build literature matrices from papers, notes, and abstracts to compare methods, data, findings, and research gaps.

Purpose

Build literature matrices from papers, notes, and abstracts to compare methods, data, findings, and research gaps.

Trigger phrases

• 文献矩阵
• build a literature matrix
• 整理论文综述
• research gap table
• 做研究对比表

Ask for these inputs

• paper list or notes
• research question
• matrix dimensions
• citation style if needed

Workflow

1. Normalize each source into the bundled matrix schema.
2. Extract problem, method, data, metric, result, limitation, and gap.
3. Cluster similar methods and contradictory findings.
4. Generate a matrix CSV and a narrative synthesis outline.
5. Keep missing fields explicit and cite where possible.

Output contract

• literature matrix CSV
• thematic clusters
• gap summary
• review outline

Files in this skill

• Script: {baseDir}/scripts/build_matrix.py
• Resource: {baseDir}/resources/matrix_schema.csv

Operating rules

• Be concrete and action-oriented.
• Prefer preview / draft / simulation mode before destructive changes.
• If information is missing, ask only for the minimum needed to proceed.
• Never fabricate metrics, legal certainty, receipts, credentials, or evidence.
• Keep assumptions explicit.

Suggested prompts

• 文献矩阵
• build a literature matrix
• 整理论文综述

Use of script and resources

Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft. Use the resource file as the default schema, checklist, or preset when the user does not provide one.

Boundaries

• This skill supports planning, structuring, and first-pass artifacts.
• It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.

Compatibility notes

• Directory-based AgentSkills/OpenClaw skill.
• Runtime dependency declared through metadata.openclaw.requires.
• Helper script is local and auditable: scripts/build_matrix.py.
• Bundled resource is local and referenced by the instructions: resources/matrix_schema.csv.