organvm-iv-taxis/ontological-renamer

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:

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