القائمة
Activate when the user needs to manage multi-author collaboration on a paper. Tracks author contributions using the CRediT taxonomy, manages responsibility assignments, documents the human-AI division of labor, and produces an author contribution statement ready for submission.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | coauthor-engine |
| description | Activate when the user needs to manage multi-author collaboration on a paper. Tracks author contributions using the CRediT taxonomy, manages responsibility assignments, documents the human-AI division of labor, and produces an author contribution statement ready for submission. |
Orchestration Log: When this skill is activated, append a log entry to
outputs/orchestration_log.md:### Skill Activation: Co-Author Engine **Timestamp:** [current date/time] **Actor:** AI Agent (coauthor-engine) **Input:** [N] authors, task: [contribution tracking / responsibility assignment / CRediT statement] **Output:** author_contributions.md saved
Modern academic publishing increasingly requires transparent documentation of who did what. The CRediT (Contributor Roles Taxonomy) system standardizes this. For AI-assisted papers, documenting the human-AI division of labor is not optional — it's becoming a requirement at major venues.
## Authors
| # | Name | Affiliation | Role | ORCID | Corresponding |
|---|------|-------------|------|-------|--------------|
| 1 | [Name] | [University/Org] | [Senior/Junior/PI] | [ORCID] | [Yes/No] |
| 2 | [Name] | [University/Org] | [Senior/Junior] | [ORCID] | [No] |
| 3 | AI Agent (Claude) | Anthropic | AI Assistant | N/A | No |
For each author (including AI), indicate contribution level:
| # | CRediT Role | Definition | Author 1 | Author 2 | AI Agent |
|---|---|---|---|---|---|
| 1 | Conceptualization | Ideas, formulation of research goals | Lead | Supporting | — |
| 2 | Data curation | Managing, annotating, maintaining data | Lead | — | Supporting |
| 3 | Formal analysis | Statistical, mathematical, computational analysis | Supporting | — | Lead |
| 4 | Funding acquisition | Obtaining financial support | — | Lead | — |
| 5 | Investigation | Conducting the research, data collection | Lead | Supporting | Supporting |
| 6 | Methodology | Development or design of methodology | Lead | Supporting | Supporting |
| 7 | Project administration | Managing and coordinating the project | Lead | — | — |
| 8 | Resources | Provision of study materials, tools, computing | — | Lead | — |
| 9 | Software | Programming, implementation, code | — | — | Lead |
| 10 | Supervision | Oversight and leadership responsibility | — | Lead | — |
| 11 | Validation | Verification and replication of results | Lead | Supporting | Supporting |
| 12 | Visualization | Creating figures, diagrams, plots | Supporting | — | Lead |
| 13 | Writing — original draft | Creating the initial manuscript | Supporting | — | Lead |
| 14 | Writing — review & editing | Critical review, commentary, revision | Lead | Lead | Supporting |
Levels: Lead / Supporting / — (not involved)
For the AI agent, document specifically:
## AI Contribution Statement
This paper was produced with the assistance of an AI writing system (Claude,
via the Open Academic Paper Machine). The AI system contributed to:
- **Literature search and synthesis:** Automated multi-database search, deduplication,
and initial thematic clustering of [N] papers
- **First draft generation:** Initial drafts of all sections following academic
writing templates, subsequently revised by human authors
- **Figure generation:** [N] figures generated via AI (PaperBanana)
- **Citation verification:** Automated verification of [N] citations against source abstracts
- **LaTeX compilation:** Automated conversion and PDF generation
**Human oversight and quality control:**
- All research questions, theoretical framing, and methodological decisions were
made by human authors
- All AI-generated text was reviewed, revised, and approved by human authors
- Empirical data collection and analysis were conducted by human authors
- Final manuscript was reviewed and approved by all human co-authors
**AI disclosure:** [Statement per venue requirements, e.g., "In accordance with
[Venue]'s AI policy, we disclose that AI tools were used in the preparation of
this manuscript as described above. All authors take full responsibility for the
content."]
For ongoing collaboration, track who is responsible for what:
## Task Assignment
| Task | Responsible | Deadline | Status |
|------|------------|----------|--------|
| Finalize RQs | Author 1 | [date] | Done |
| Data collection | Author 1 | [date] | In progress |
| Method section review | Author 2 | [date] | Pending |
| Figure 3 redesign | AI Agent | [date] | Done |
| Discussion revision | Author 1 + Author 2 | [date] | Pending |
| Final proofread | Author 2 | [date] | Pending |
| Cover letter | Author 1 | [date] | Pending |
| Submission | Author 1 (corresponding) | [date] | Pending |
Generate venue-appropriate contribution statement:
CRediT format (most journals):
Author Contributions: [Author 1]: Conceptualization (lead), Investigation (lead),
Methodology (lead), Project administration (lead), Validation (lead), Writing —
review & editing (lead). [Author 2]: Conceptualization (supporting), Funding
acquisition (lead), Resources (lead), Supervision (lead), Writing — review &
editing (lead).
Prose format (some journals):
[Author 1] conceived the study, conducted the literature review, designed the
methodology, and wrote the initial manuscript. [Author 2] supervised the project,
provided critical feedback on theoretical framing, and co-edited the final
manuscript. Both authors approved the final version.
| File | Content |
|---|---|
author_contributions.md | Full CRediT matrix + AI statement + task tracker |
Add to paper.tex | CRediT statement in Author Contributions section |
Add to submission/ | AI disclosure statement for venue requirements |
| Scenario | Integration |
|---|---|
| Submission-engine | Provides author contribution statement for submission |
| Orchestration log | Complements the AI audit trail |
| Review-engine | Tracks who addresses which reviewer comment |
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Activate when the user needs to generate, refine, or evaluate academic figures, diagrams, or statistical plots. Uses PaperBanana to transform text descriptions or data files into publication-quality illustrations via direct Python API call. Fallback: matplotlib/seaborn.
Activate when the user provides reviewer or co-author feedback (annotated PDF, pasted comments, or reviewer report) and wants to implement revisions. Extracts review points, maps them to paper.tex locations, classifies actions, implements changes, recompiles, and generates a change log + latexdiff. Handles the full revision loop from feedback to committed changes.
Activate when the user needs to systematically screen papers for a Systematic Literature Review (SLR). Implements the PRISMA-compliant screening pipeline: define inclusion/exclusion criteria, title/abstract screening, full-text screening, quality assessment, and PRISMA flow diagram generation. Takes the literature_base.csv from Phase 1 (Reconnaissance) and produces a filtered, documented, auditable set of included studies.