Generate properly formatted citations and bibliographies in multiple academic and professional styles. Supports manual entry, structured data import, and automatic metadata lookup via DOI/ISBN.
Fetches citation-bibliography-generator from dkyazzentwatwa/chatgpt-skills and configures it for Cursor.
3
Select Cursor when prompted
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
◆ Which agents do you want to install to?
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│ ── Universal (.agents/skills) ────────────────
│ · Cline · Codex · Goose · Windsurf
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4
Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/citation-bibliography-generator
Restart Cursor to activate citation-bibliography-generator. Access via /citation-bibliography-generator in your agent's command palette.
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Security Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Generate properly formatted citations and bibliographies in multiple academic and professional styles. Supports manual entry, structured data import, and automatic metadata lookup via DOI/ISBN.
Quick Start
from scripts.citation_generator import CitationGenerator
# Create generator with desired stylegen = CitationGenerator(style='apa')# Cite a bookcitation = gen.cite_book( authors=["Smith, John","Doe, Jane"], title="Research Methods in Social Science", year=2020, publisher="Academic Press", city="New York")print(citation)# Output: Smith, J., & Doe, J. (2020). Research methods in social science. Academic Press.# Build bibliographygen.add_to_bibliography(citation)bibliography = gen.generate_bibliography()print(bibliography)
Supported Citation Styles
APA (American Psychological Association) - 7th Edition
MLA (Modern Language Association) - 9th Edition
Chicago (Chicago Manual of Style) - 17th Edition
IEEE (Institute of Electrical and Electronics Engineers)
Harvard (Harvard referencing style)
Features
1. Manual Citation Creation
Format citations by source type:
Books - Monographs, edited volumes, editions
Journal Articles - Peer-reviewed articles with DOI
Websites - Online sources with access dates
Conference Papers - Proceedings and presentations
2. Automatic Metadata Lookup
DOI Lookup - Fetch article metadata from CrossRef API
ISBN Lookup - Retrieve book information (when available)
Auto-detect source type and format accordingly
3. Bibliography Management
Add multiple citations
Auto-sort by author, year, or title
Duplicate detection and removal
Export to plain text or BibTeX
4. In-Text Citations
Generate parenthetical or narrative in-text citations:
Parenthetical: (Smith, 2020, p. 45)
Narrative: Smith (2020) argues that...
Multiple authors with et al. handling
5. Batch Processing
Import citations from CSV files with structured data and generate complete bibliographies.
citation = gen.cite_website( authors=["Last, First"],# Can be empty list title="Page Title", url="https://example.com", access_date="2024-01-15", publish_date="2023-12-01"# Optional)
Note: Separate multiple authors with | pipe character
Returns: List of formatted citation strings
CLI Usage
Single Citation
Book:
python scripts/citation_generator.py book \--authors"Smith, J.""Doe, A."\--title"Research Methods"\--year2020\--publisher"Academic Press"\--city"New York"\--style apa
›Access to product documentation and roadmap tools (Jira, Notion, etc.)
›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
1Install product management skill
2Start with user story generation for known feature
3Progress to competitive analysis: research 2-3 competitors
4Use for roadmap prioritization: apply RICE/ICE scoring
5Draft stakeholder communications and refine based on feedback
6Build template library for recurring PM tasks
7Share effective prompts with product team
Common Pitfalls
⚠Not validating competitive research—verify facts before sharing
⚠Accepting user stories without involving engineering team
⚠Over-relying on frameworks without qualitative judgment
⚠Not customizing outputs to company culture and communication style
⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
+Validate research and competitive analysis with real data
+Collaborate with engineering when generating technical requirements
+Customize frameworks and templates to your company context
+Use skill for first drafts, refine with stakeholder input
+Document successful prompt patterns for PM tasks
+Combine AI efficiency with human judgment and intuition
✗ Don't
−Don't publish competitive analysis without fact-checking
−Don't finalize user stories without engineering review
−Don't make prioritization decisions solely on AI scoring
−Don't skip customer validation of generated requirements
−Don't ignore company-specific context and culture
💡 Pro Tips
★Provide context: company goals, constraints, customer feedback
★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
1Basic: user stories, feature specs, status updates
