cross-disciplinary-bridge-finder
Use when identifying collaboration opportunities across fields, finding experts in complementary disciplines, translating methodologies between scientific domains, or building interdisciplinary research teams. Identifies synergies between scientific disciplines, matches researchers with complementary expertise, and facilitates cross-domain collaborations. Supports interdisciplinary grant applications and innovative research team formation.
91
92%
Does it follow best practices?
Impact
79%
2.63xAverage score across 3 eval scenarios
Passed
No known issues
Evaluation results
100%
88%Finding Immunology Collaborators for a Machine Learning Research Lab
CollaborationFinder API usage and quality threshold filtering
Correct import path
0%
100%
CollaborationFinder instantiation
0%
100%
find_experts call
0%
100%
my_expertise parameter
0%
100%
target_field parameter
0%
100%
min_publications parameter
0%
100%
h_index_threshold parameter
0%
100%
Complementarity score filter
0%
100%
Empty results handling
100%
100%
Threshold adjustment guidance
33%
100%
Without context: $0.7227 · 2m 51s · 34 turns · 147 in / 9,063 out tokens
With context: $1.4814 · 6m 3s · 37 turns · 38 in / 20,372 out tokens
39%
-12%Identifying Physics Methods Applicable to Cancer Biology Research
Transferable methods identification with transfer_potential quality checks
Correct import
0%
0%
identify_transferable_methods call
0%
0%
from_field parameter
0%
0%
to_field parameter
0%
0%
application_area parameter
0%
0%
transfer_potential threshold check
100%
40%
Low transfer warning
100%
100%
Empty results handling
100%
100%
Broaden application_area guidance
100%
100%
Without context: $0.4183 · 2m 8s · 26 turns · 30 in / 6,254 out tokens
With context: $0.7056 · 2m 24s · 25 turns · 512 in / 7,990 out tokens
100%
73%Funding Search and Proposal Outline for an AI-Medicine-Ethics Research Consortium
Interdisciplinary funding search and collaboration proposal generation
Correct import
0%
100%
find_interdisciplinary_funding call
0%
100%
fields parameter
0%
100%
NIH in funder_types
0%
100%
NSF in funder_types
0%
100%
private_foundation in funder_types
0%
100%
Empty grants handling
100%
100%
Funding adjustment guidance
50%
100%
generate_collaboration_proposal call
0%
100%
partner_expertise and my_expertise params
0%
100%
Descriptive research_question
100%
100%
Without context: $0.5212 · 2m 22s · 28 turns · 30 in / 7,990 out tokens
With context: $1.3413 · 4m 22s · 39 turns · 413 in / 15,213 out tokens
- Repository
- aipoch/medical-research-skills
- Commit
ca9aaa4
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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