plurigrid/asi

yb-translator

Translate programming concepts to biological parallels using real ontology terms from EBI OLS.

First seen Jan 29, 2026

Installation

$ npx skills add plurigrid/asi --skill yb-translator

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 62
License LICENSE
Default branch main
Open issues 3
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents claude-code

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 9,314 B
  • docs SUMMARY.md 115 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 7 installs

SKILL.md

YB Translator

Translate programming/CS concepts to biological parallels. Must use real ontology IDs from EBI OLS.

Required Output Format

CONCEPT: [programming concept]
BIOLOGY: [biological parallel]
ONTOLOGY: [Ontology Name] - [Term Name] ([ID])
EXAMPLE: [specific instance from ontology]
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/[ont]/classes/[encoded-iri]

Ontologies to Use

Ontology Code Use For
Cell Ontology CL Cell types, differentiation
Gene Ontology GO Processes, functions, components
Disease Ontology MONDO Disease hierarchies
Tissue/Anatomy UBERON Anatomical structures
Phenotype HP Observable traits
Pathway REACT/KEGG Metabolic/signaling pathways

Bionty Integration

For programmatic access to biological ontologies, use Bionty:

import bionty as bt

# Lookup GO terms
go = bt.Gene()
go.lookup("RNA polymerase")

# Cell ontology
cl = bt.CellType()
cl.search("T cell")

Bionty provides versioned, validated access to CL, GO, MONDO, UBERON, and more.

Fetch Live Data

bb ~/.claude/skills/yb-translator/scripts/fetch_ontology.clj verify <ID>

Example:

bb ~/.claude/skills/yb-translator/scripts/fetch_ontology.clj verify CL:0000084

Translation Examples

Immutability

CONCEPT: Immutable data structures
BIOLOGY: DNA template strand
ONTOLOGY: Gene Ontology - DNA replication (GO:0006260)
EXAMPLE: Template strand unchanged during replication; new strand synthesized
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0006260

Inheritance/Subtyping

CONCEPT: Class inheritance
BIOLOGY: Cell differentiation hierarchy
ONTOLOGY: Cell Ontology - T cell (CL:0000084)
EXAMPLE: T cell → CD4+ T cell (CL:0000624), CD8+ T cell (CL:0000625)
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/cl/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FCL_0000084

Interface/Protocol

CONCEPT: Interface contract
BIOLOGY: Enzyme classification by function
ONTOLOGY: Gene Ontology - kinase activity (GO:0016301)
EXAMPLE: All kinases transfer phosphate; different substrates
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0016301

Garbage Collection

CONCEPT: Automatic memory management
BIOLOGY: Autophagy
ONTOLOGY: Gene Ontology - autophagy (GO:0006914)
EXAMPLE: Lysosomal degradation of cytoplasmic components
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0006914

Static Type Checking

CONCEPT: Compile-time type verification
BIOLOGY: Receptor-ligand specificity
ONTOLOGY: Gene Ontology - receptor binding (GO:0005102)
EXAMPLE: Insulin receptor (INSR) only binds insulin; shape verified before signal
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0005102

Recursion

CONCEPT: Self-referential function
BIOLOGY: Fractal branching morphogenesis
ONTOLOGY: Gene Ontology - branching morphogenesis (GO:0001763)
EXAMPLE: Lung bronchi: branch → branches → branches (same pattern each level)
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0001763

Concurrency

CONCEPT: Parallel execution
BIOLOGY: Parallel metabolic pathways
ONTOLOGY: Gene Ontology - metabolic process (GO:0008152)
EXAMPLE: Glycolysis and beta-oxidation run simultaneously in cytoplasm/mitochondria
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0008152

Preconditions (Dafny requires)

CONCEPT: Function precondition
BIOLOGY: Enzyme substrate specificity
ONTOLOGY: Gene Ontology - substrate-specific channel activity (GO:0022838)
EXAMPLE: Lactase only accepts lactose; wrong substrate = no reaction
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0022838

Postconditions (Dafny ensures)

CONCEPT: Function postcondition
BIOLOGY: Enzyme product guarantee
ONTOLOGY: Gene Ontology - catalytic activity (GO:0003824)
EXAMPLE: Lactase guarantees galactose + glucose output from lactose input
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0003824

Formal Verification (Dafny)

CONCEPT: Compile-time proof of correctness
BIOLOGY: Immune checkpoint verification
ONTOLOGY: Gene Ontology - T cell activation (GO:0042110)
EXAMPLE: T cell requires MHC presentation + costimulation; verified before response
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0042110

REPL (Clojure)

CONCEPT: Interactive evaluation loop
BIOLOGY: Adaptive immune response
ONTOLOGY: Gene Ontology - adaptive immune response (GO:0002250)
EXAMPLE: Encounter antigen → test response → remember successful patterns
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0002250

Homoiconicity (Clojure)

CONCEPT: Code as data
BIOLOGY: Self-replicating RNA polymerase ribozymes
ONTOLOGY: Gene Ontology - RNA polymerase activity (GO:0097747)
EXAMPLE: Ribozymes catalyze synthesis of copies of themselves—RNA is simultaneously 
         catalyst (program) and template (data). E.g., R3C ligase (Joyce 2002).
SOURCE: https://www.ebi.ac.uk/ols4/ontologies/go/classes/http%253A%252F%252Fpurl.obolibrary.org%252Fobo%252FGO_0097747

Rules

  1. Always include ontology ID (e.g., CL:0000084, GO:0006914)
  2. Always include SOURCE URL to EBI OLS
  3. Use real terms - verify they exist at ebi.ac.uk/ols4
  4. One parallel per concept - no tables, no frills
  5. Run fetch script when uncertain about term existence

Related Skills

  • biopython (⊕): Programmatic access to biological data; yb-translator provides the ontological frame, biopython provides the runtime
  • alife (○): Artificial life / origin of life parallels — overlaps on the code↔biology boundary but alife generates, yb-translator classifies
  • assembly-index (⊖): Cronin's molecular complexity metrics; complementary measure to ontological depth

These three are the only skills with direct biological ontology dependencies. Most skills in the repo have no biological structure — that's correct.

SDF Interleaving

This skill connects to Software Design for Flexibility (Hanson & Sussman, 2021):

Primary Chapter: 4. Pattern Matching

Concepts: unification, match, segment variables, pattern

GF(3) Balanced Triad

yb-translator (⊕) + SDF.Ch4 (○) + assembly-index (⊖) = 0

Skill Trit: +1 (PLUS - generation)

yb-translator generates translations (⊕). SDF Ch4 pattern matching provides the structural recognition (○). assembly-index measures complexity of the result (⊖). The triad balances because generating a translation, recognizing its structure, and measuring its complexity are three independent operations that compose to a closed loop.

Secondary Chapters

  • Ch3: Variations on an Arithmetic Theme (combinators for building translators)
  • Ch7: Propagators (bidirectional constraint flow between CS and biology domains)

Connection Pattern

Pattern matching unifies a programming concept with a biological term by structural match on the mechanism — not by keyword. The translator IS a pattern matcher: input a CS concept, output the ontology term whose mechanism matches. When the match is analogical rather than direct, the pattern matcher should say so.

Verification

# Self-verify translations (L0: syntactic + parallel strength)
bb scripts/random_walk_verifier.clj verify

# Inventory all ontology IDs across SKILL.md and examples
bb scripts/random_walk_verifier.clj ids

# Analyze which skills in the repo have actual biological structure
bb scripts/analyze_all_skills.clj

# Check a specific ontology ID against live EBI OLS
bb scripts/fetch_ontology.clj verify CL:0000084

What was rebuilt

The previous analyzeallskills.clj regex-matched any description into a category theory concept (99% positive rate). The previous randomwalkverifier.clj "verified" those via more regex on the same content. Both were removed.

The new versions:

  • analyzeallskills.clj — checks for EXPLICIT typed hierarchies or dual

ontological contexts. Most skills get :none. If >20% are classified as having structure, the criteria are too loose.

  • randomwalkverifier.clj — verifies yb-translator's OWN translations, not

other skills. Checks ontology ID format (L0), flags parallel strength as :direct, :analogical, or :metaphorical. L1 (live EBI check) delegated to fetch_ontology.clj.

  • skill_taxonomy.edn — lists the 12 translations with honest parallel

strength ratings. 6 direct, 6 analogical, 0 metaphorical.

Para(Optic) atlas

Part of: para-mensch-commons.