research-paper
Structure and write clear research papers or academic-style reports with proper argumentation, evidence, and scholarly conventions. Use when producing research papers, literature reviews, technical reports, or formal academic-style documents.
- License 许可
- MIT
- 最近更新
- 2026-07-22
- Stars
- ★ 7
- Forks
- 1
01 前言 Front Matter
- name
- research-paper
- description
- Structure and write clear research papers or academic-style reports with proper argumentation, evidence, and scholarly conventions. Use when producing research papers, literature reviews, technical reports, or formal academic-style documents.
03 SKILL.md 正文
Research Paper
Overview
A research paper presents a clear question or claim, situates it in existing work, and supports conclusions with evidence and transparent reasoning.
When to Use
- Academic or scientific papers
- Formal research reports
- Literature reviews
- Technical whitepapers with scholarly structure
Common Structure (IMRaD-inspired)
- Title and abstract
- Introduction (problem, motivation, contribution)
- Related work / background
- Methods or approach
- Results / findings
- Discussion
- Conclusion and future work
- References
Principles
- State the contribution early and clearly
- Distinguish evidence from interpretation
- Cite sources accurately and consistently
- Make methods reproducible enough for the context
- Use precise language; avoid overclaiming
- Follow the target venue’s style and structure when applicable
Verification
- [ ] Research question or claim is explicit
- [ ] Related work is fairly represented
- [ ] Conclusions are supported by the presented evidence
- [ ] Citations and structure meet expected standards
04 同仓库更多 Skills
compliance-monitoring
Design compliance monitoring and testing programs that verify controls work in practice and surface issues before regulators do. Use when building monitoring plans, compliance testing, or continuous control monitoring.
complaints-handling
Operate complaints-handling processes that meet regulatory standards — logging, timely resolution, root-cause analysis, and fair outcomes. Use when designing or improving regulated complaints frameworks or analyzing complaint themes for conduct risk.
aml-kyc-basics
Apply AML/KYC fundamentals — customer due diligence, monitoring, suspicious activity escalation, and recordkeeping — for financial crime compliance. Use when designing onboarding controls, transaction monitoring concepts, or AML program components in financial services.
ai-model-compliance
Apply compliance controls to AI and automated decision systems — transparency, fairness, human oversight, documentation, and regulatory alignment. Use when deploying AI in regulated processes (credit, fraud, customer decisions) or responding to AI governance expectations.
data-quality-management
Manage data quality end-to-end — dimensions, rules, remediation, and prevention — beyond one-off cleaning scripts. Use when building sustained data quality programs or fixing systemic accuracy, completeness, or consistency problems.
data-lineage
Capture and use data lineage — where data comes from, how it transforms, and what depends on it — for impact analysis, debugging, and trust. Use when tracing metric origins, assessing change impact, or diagnosing broken pipelines.