01
Protocols
Reusable instructions for how a scientific task should be performed and evaluated.
BioSkillsScientific knowledge
Reusable scientific knowledge.
BioSkills is the future layer for protocols, validation rules, failure-mode checks and task-specific capabilities that can be reused across bioimaging studies.
Why knowledge matters
Good bioimage analysis depends on decisions as much as software.
An agent needs more than a list of tools. It needs to know which checks matter, what constitutes a valid comparison and how to recognize a failure mode before presenting a conclusion.
02
Validation rules
Explicit checks for leakage, pairing, completeness and evidence quality.
03
Failure analysis
Structured ways to interpret model failures and domain shift.
04
Task capabilities
Domain-specific knowledge that can be reused across compatible workflows.
Knowledge structure
Skills should be explicit, versioned and reviewable.
The intended knowledge layer organizes reusable scientific guidance without presenting a future library as an implemented system.
01
Context
Define the scientific task, domain and assumptions.
02
Protocol
Specify the recommended sequence and required inputs.
03
Checks
State validation rules and failure conditions.
04
Capability
Describe the scientific operation the skill can support.
05
Evidence
Define what must be recorded to support a conclusion.
06
Review
Keep the skill inspectable, versioned and open to revision.
Future direction
From project-specific rules to reusable scientific skills.
Planned
The long-term goal is a versioned collection of domain knowledge that can travel with workflows while remaining inspectable and reviewable by researchers.
See the interoperability layer