ontology
Skill23 starsChanged 10 months agoMITView on GitHub
Ontology-based entity discovery and validation for mnemonic memories. Define custom namespaces, entity types, traits, and relationships.
9 other projects use a version of this.
Adopted by
Most recently taken up by
- Elong-svg/business-plan-factorytheir own version, first seen Nov 8, 2026
- jaccen/Awesome-Gaussian-Skillstheir own version, first seen Oct 25, 2026
- ForceInjection/awesome-skillstheir own version, first seen Oct 13, 2026
- osick/ctx.skillstheir own version, first seen Oct 13, 2026
- stevemarksava/superteamtheir own version, first seen Sep 4, 2026
- bushuhui/skillstheir own version, first seen Jun 5, 2026
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Also in 4 projects that use this
Other versions9 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 9
- jaccen/Awesome-Gaussian-Skills★ 180same name
- ForceInjection/awesome-skills★ 87same name
- 01clauding/claude-ontology-skill★ 34same name
- bushuhui/skills★ 2same name
- Elong-svg/business-plan-factory★ 2same name
- stevemarksava/superteam★ 1same name
- zinan92/skills-repo★ 1same name
- koinod/skills★ 0same name
- osick/ctx.skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository9 other files it gives its agents.
- blackboardSkill
- coreSkill
- custodianSkill
- formatSkill
- integrateSkill
- qmd-reindexSkill
- qmd-setupSkill
- searchSkill
- setupSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 3 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 9 edited versions we read keep these.
3
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 24
Run /mnemonic:list --namespaces to see available namespaces from loaded ontologies.
- Distinctive: line 40
Create typed entities (semantic, episodic, procedural)
- Distinctive: line 42
Use traits/mixins for reusable field sets
- Distinctive: line 47
All entity types inherit from one of three base memory types:
“Common” is measured: kept by at least 6 in 10 of the 9 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<!-- BEGIN MNEMONIC PROTOCOL -->Memory
Search first: /mnemonic:search {relevant_keywords}
Capture after: /mnemonic:capture {namespace} "{title}"
Run /mnemonic:list --namespaces to see available namespaces from loaded ontologies.
<!-- END MNEMONIC PROTOCOL -->Ontology Skill
Provides custom ontology support for extending mnemonic with domain-specific knowledge structures.
Requirements
- PyYAML - Optional but recommended for YAML parsing. The library works without it but with limited functionality.
Capabilities
- Load and validate ontology definitions (YAML)
- Define custom namespaces beyond the 9 base namespaces
- Create typed entities (semantic, episodic, procedural)
- Establish relationships between entities
- Use traits/mixins for reusable field sets
- Entity discovery patterns
Cognitive Memory Type Triad
All entity types inherit from one of three base memory types:
| Type | Purpose | Examples |
| Semantic | Facts, concepts | Components, technologies, decisions |
| Episodic | Events, experiences | Incidents, debug sessions |
| Procedural | Step-by-step processes | Runbooks, deployments |
Usage
ontology_validator.py
Validate ontology YAML files against the schema.
python ${SKILL_DIR}/lib/ontology_validator.py <file> [--json]| Option | Description |
<file> | Ontology YAML file to validate (required) |
--json | Output validation results as JSON |
ontology_registry.py
Load and query ontologies.
python ${SKILL_DIR}/lib/ontology_registry.py [OPTIONS]| Option | Description |
--list | List all loaded ontologies |
--namespaces | List all available namespaces |
--types | List all entity types |
--validate <NS> | Validate a specific namespace |
--json | Output as JSON |
entity_resolver.py
Resolve and search entity references across memories.
python ${SKILL_DIR}/lib/entity_resolver.py [OPTIONS]| Option | Description |
--build-index | Build complete entity index from memory files |
--search <query> | Search for entities by name or content |
--resolve <ref> | Resolve entity reference (e.g., @[[Name]]) |
--json | Output results as JSON |
Entity Reference Syntax
- Simple:
@[[Entity Name]]- Resolves by name - Typed:
[[technology:postgres-id]]- Resolves by type and ID
Discovery Patterns
Ontologies can define patterns for automatic namespace suggestion during memory capture.
Content Patterns
Match text content to suggest appropriate namespaces:
discovery:
content_patterns:
- pattern: "\\bdecided to\\b|\\bwe will use\\b"
namespace: _semantic/decisions
- pattern: "\\blearned that\\b|\\bthe fix was\\b"
namespace: _semantic/knowledgeFile Patterns
Match file paths for contextual namespace hints:
discovery:
file_patterns:
- pattern: "auth|login|session"
namespaces:
- _semantic/knowledge
- _semantic/decisions
context: authenticationConfiguration
discovery:
enabled: true
confidence_threshold: 0.8 # Minimum confidence to suggestSee fallback/ontologies/mif-base.ontology.yaml for complete examples.
Files
lib/ontology_registry.py- Load and manage ontologieslib/ontology_validator.py- Validate ontology YAMLlib/ontology_loader.py- Centralized ontology loading with cachinglib/entity_resolver.py- Resolve entity referencesfallback/ontologies/mif-base.ontology.yaml- Standard mnemonic namespacesfallback/schema/ontology/ontology.schema.json- JSON Schema
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