Research Matrix Builder
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
- Normalize each source into the bundled matrix schema.
- Extract problem, method, data, metric, result, limitation, and gap.
- Cluster similar methods and contradictory findings.
- Generate a matrix CSV and a narrative synthesis outline.
- 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.
1---2name: research-matrix-builder3description: Build literature matrices from papers, notes, and abstracts to compare4---56# Research Matrix Builder78## Purpose910Build literature matrices from papers, notes, and abstracts to compare methods, data, findings, and research gaps.1112## Trigger phrases1314- 文献矩阵15- build a literature matrix16- 整理论文综述17- research gap table18- 做研究对比表1920## Ask for these inputs2122- paper list or notes23- research question24- matrix dimensions25- citation style if needed2627## Workflow28291. Normalize each source into the bundled matrix schema.302. Extract problem, method, data, metric, result, limitation, and gap.313. Cluster similar methods and contradictory findings.324. Generate a matrix CSV and a narrative synthesis outline.335. Keep missing fields explicit and cite where possible.3435## Output contract3637- literature matrix CSV38- thematic clusters39- gap summary40- review outline4142## Files in this skill4344- Script: `{baseDir}/scripts/build_matrix.py`45- Resource: `{baseDir}/resources/matrix_schema.csv`4647## Operating rules4849- Be concrete and action-oriented.50- Prefer preview / draft / simulation mode before destructive changes.51- If information is missing, ask only for the minimum needed to proceed.52- Never fabricate metrics, legal certainty, receipts, credentials, or evidence.53- Keep assumptions explicit.5455## Suggested prompts5657- 文献矩阵58- build a literature matrix59- 整理论文综述6061## Use of script and resources6263Use the bundled script when it helps the user produce a structured file, manifest, CSV, or first-pass draft.64Use the resource file as the default schema, checklist, or preset when the user does not provide one.6566## Boundaries6768- This skill supports planning, structuring, and first-pass artifacts.69- It should not claim that files were modified, messages were sent, or legal/financial decisions were finalized unless the user actually performed those actions.707172## Compatibility notes7374- Directory-based AgentSkills/OpenClaw skill.75- Runtime dependency declared through `metadata.openclaw.requires`.76- Helper script is local and auditable: `scripts/build_matrix.py`.77- Bundled resource is local and referenced by the instructions: `resources/matrix_schema.csv`.
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