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

• Identify root concepts in English

• Find Latin/Greek equivalents

• Combine following classical morphology

• 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:

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