Renames projects and content with dense, meaningful ontological titles that describe essence and function. Combines 3-4 words using separator conventions (- for compound/close words, -- for distant concepts). Provides translations to Latin and Greek. Use when naming projects, repositories, systems, or concepts.
Scanned 9/10/2026
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---
name: ontological-renamer
description: Renames projects and content with dense, meaningful ontological titles that describe essence and function. Combines 3-4 words using separator conventions (- for compound/close words, -- for distant concepts). Provides translations to Latin and Greek. Use when naming projects, repositories, systems, or concepts.
license: MIT
complexity: intermediate
time_to_learn: 30min
tags: [naming, ontology, taxonomy, branding, translation]
governance_phases: [shape]
organ_affinity: [all]
triggers: [user-asks-about-naming, user-asks-about-renaming, context:naming]
---
# Ontological Renamer
Create dense, meaningful names for projects, systems, and concepts using ontological principles and classical language translations.
## When to Use
- Naming new projects or repositories
- Renaming existing systems
- Creating brand identities
- Naming concepts, patterns, or frameworks
- Building taxonomies and vocabularies
## Naming Methodology
### Step 1: Identify Essence
What IS the thing? (noun/subject)
```
Questions:
- What category does it belong to?
- What is its fundamental nature?
- What metaphor best describes it?
Examples:
- A collection → repository, vault, archive
- A process → engine, forge, factory
- A connection → bridge, link, weave
```
### Step 2: Identify Function
What does it DO? (verb/action)
```
Questions:
- What transformation does it perform?
- What problem does it solve?
- What capability does it provide?
Examples:
- Creates → forge, builder, generator
- Connects → bridge, link, mesh
- Organizes → lattice, matrix, graph
```
### Step 3: Identify Domain
What CONTEXT does it operate in?
```
Questions:
- What field or industry?
- What system or ecosystem?
- What users or actors?
Examples:
- AI/ML → agent, model, neural
- Development → code, build, deploy
- Knowledge → wisdom, expertise, craft
```
### Step 4: Combine
Form a 3-4 word compound that reads like a dense sentence.
```
Pattern: [Domain]-[Function]--[Essence]-[Modifier]
Examples:
- agent-skill--knowledge-forge
- code-craft--pattern-vault
- data-weave--insight-engine
```
## Separator Conventions
### Single Hyphen (-)
Use for magnetically close concepts that form a compound:
```
skill-bundle → "bundle of skills" (compound noun)
agent-powered → "powered by agents" (adjective)
code-craft → "craft of coding" (compound noun)
knowledge-base → "base of knowledge" (compound noun)
```
### Double Hyphen (--)
Use for conceptual distance or category separation:
```
agent-skills--knowledge-engine
├── agent-skills (what it contains)
└── knowledge-engine (what it is)
frontend-toolkit--design-system
├── frontend-toolkit (domain)
└── design-system (function)
```
### Decision Matrix
| Relationship | Separator | Example |
|--------------|-----------|---------|
| Adjective + Noun | - | `smart-agent` |
| Noun + Noun (compound) | - | `skill-bundle` |
| Category + Instance | -- | `dev-tools--linter` |
| Domain + Function | -- | `ml-ops--model-registry` |
| What + How | -- | `data--transform-engine` |
## Word Selection Rules
### Ignore These Words
When forming names, filter out:
```
Articles: a, an, the
Prepositions: of, for, to, in, on, by, with
Conjunctions: and, or, but
```
### Prefer Strong Words
```
Strong Nouns:
✓ forge, vault, engine, lattice, codex
✗ thing, stuff, helper, manager
Active Verbs:
✓ forge, weave, craft, build
✗ do, make, handle, process
Specific Terms:
✓ authentication, pipeline, schema
✗ security, flow, structure
```
### Domain-Specific Vocabulary
| Domain | Strong Words |
|--------|--------------|
| AI/Agents | agent, model, neural, inference, swarm |
| Development | code, build, deploy, pipeline, stack |
| Data | schema, query, transform, pipeline |
| Security | vault, shield, guard, sentinel |
| Knowledge | codex, archive, wisdom, expertise |
## Classical Translations
### Translation Approach
1. Identify root concepts in English
2. Find Latin/Greek equivalents
3. Combine following classical morphology
4. Verify pronunciation and semantic accuracy
### Common Roots
| English | Latin | Greek |
|---------|-------|-------|
| skill | ars, artis | technē |
| knowledge | scientia | epistēmē, gnōsis |
| agent | agens, agentis | praktōr |
| forge | fabrica | chalkeion |
| vault | camera | thalamos |
| codex | codex | biblos |
| mastery | magisterium | epistasia |
| bundle | fasciculus | desmos |
| craft | ars | technē |
| power | potestas | dynamis |
### Translation Examples
```
skill-codex--agent-mastery
├── Latin: artium-codex--agentis-magisterium
└── Greek: technōn-biblos--praktoros-epistasia
agent-skill--knowledge-forge
├── Latin: ars-agentis--scientia-fabrica
└── Greek: technē-praktor--epistēmē-chalkeion
```
## Name Generation Process
### Example: AI Skills Repository
**Context:** A repository of skills that extend AI agent capabilities.
**Step 1: Essence**
- It's a collection (repository, vault, archive)
- It contains skills (capabilities, expertise)
- It's curated (codex, library)
**Step 2: Function**
- Extends capabilities (augment, enhance)
- Provides knowledge (expertise, mastery)
- Bundles together (bundle, collection)
**Step 3: Domain**
- AI agents (agent, autonomous)
- Skills/capabilities (skill, craft, art)
- Knowledge systems (knowledge, wisdom)
**Step 4: Generate Candidates**
```
1. agent-skill--knowledge-forge
"A forge of knowledge for agent skills"
2. skill-codex--agent-mastery
"A codex of skills for agent mastery"
3. capability-weave--agent-loom
"A loom that weaves agent capabilities"
4. praxis-bundle--agent-expertise
"A bundle of practical expertise for agents"
5. craft-matrix--agent-powers
"A matrix of crafts that power agents"
```
**Step 5: Evaluate**
| Name | Clarity | Memorability | Domain Fit |
|------|---------|--------------|------------|
| skill-codex--agent-mastery | High | High | High |
| agent-skill--knowledge-forge | High | Medium | High |
| capability-weave--agent-loom | Medium | Medium | Medium |
**Winner:** `skill-codex--agent-mastery`
### Example: Authentication Library
**Context:** A library for handling user authentication.
**Candidates:**
```
1. auth-guard--access-sentinel
"A sentinel guarding access through authentication"
2. identity-forge--credential-vault
"A vault of credentials from an identity forge"
3. login-shield--session-keeper
"A shield and keeper of login sessions"
```
## Output Format
When generating names, provide:
```yaml
naming_proposal:
context: "Brief description of what's being named"
candidates:
- name: "english-compound--name"
meaning: "What this name conveys"
latin: "latin-translation"
greek: "greek-translation"
pros: ["list", "of", "strengths"]
cons: ["list", "of", "weaknesses"]
recommendation:
name: "recommended-name"
rationale: "Why this is the best choice"
```
## Anti-Patterns
### Avoid These
```
❌ Generic Names
my-project, cool-tool, awesome-thing
❌ Overloaded Terms
manager, handler, service, util
❌ Acronyms Without Meaning
XYZPT, QWERT
❌ Too Long
super-advanced-machine-learning-based-intelligent-agent-system
❌ Unclear Separators
agent_skill-knowledge--forge (mixing _ and -)
```
### Prefer These
```
✓ Evocative Metaphors
forge, vault, weave, lattice
✓ Domain-Specific Terms
codex, praxis, schema
✓ Clear Compound Structure
skill-bundle, knowledge-forge
✓ Balanced Length (2-5 words)
agent-skill--knowledge-forge
```
## References
- `references/naming-patterns.md` — Compound naming patterns
- `references/separator-conventions.md` — Detailed separator rules
- `references/translation-guide.md` — Latin/Greek translation guidance
- `references/workflow-integration.md` — Ecosystem integration
- `assets/word-roots.md` — Common Latin/Greek roots
## Related Skills
- **documentation-generator**: For documenting named concepts
- **brand-guidelines**: For visual identity to match names
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