Claude Skills
D 58 completed
Other
unknown / markdown · tiny
12
Files
638
LOC
0
Frameworks
1
Languages
Pipeline State
completedRun ID
#1546297Phase
doneProgress
0%Started
2026-04-16 23:56:08Finished
2026-04-16 23:56:08LLM tokens
0Pipeline Metadata
Stage
CatalogedDecision
proceedNovelty
17.46Framework unique
—Isolation
—Last stage change
2026-05-10 03:26:32Deduplication group #47247
Member of a group with 11,584 similar repo(s) — canonical #1453550 view group →
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
AI Prompt
Create a comprehensive set of custom skills for an AI coding tool, specifically focused on scientific and technical writing for biotechnology R&D in industrial settings. The skills should cover every document type needed throughout the biotech research lifecycle, such as abstracts for various grants, government and commercial proposals (DARPA, DOE, BARDA), technical reports, literature reviews, white papers, statements of work, progress reports, patent disclosures, and presentations. Please ensure the core principles like "Data over claims," "Audience-calibrated framing," and "Precision of language" are incorporated into the structure.
markdown scientific-writing biotechnology technical-writing document-generation ai-skills research-and-development
Generated by gemma4:latest
Catalog Information
Create a comprehensive set of custom skills for an AI coding tool, specifically focused on scientific and technical writing for biotechnology R&D in industrial settings. The skills should cover every document type needed throughout the biotech research lifecycle, such as abstracts for various grants, government and commercial proposals (DARPA, DOE, BARDA), technical reports, literature reviews, white papers, statements of work, progress reports, patent disclosures, and presentations. Please ensu
Tags
markdown scientific-writing biotechnology technical-writing document-generation ai-skills research-and-development
Quality Score
D
57.6/100
Structure
32
Code Quality
100
Documentation
30
Testing
0
Practices
78
Security
100
Dependencies
50
Strengths
- Low average code complexity — well-structured code
- Good security practices — no major issues detected
Weaknesses
- No LICENSE file — legal ambiguity for contributors
- No tests found — high risk of regressions
- No CI/CD configuration — manual testing and deployment
Recommendations
- Add a test suite — start with critical path integration tests
- Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
- Add a linter configuration to enforce code style consistency
- Add a LICENSE file (MIT recommended for open source)
Languages
Frameworks
None detected
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