ontological-renamer

v2026.09.25

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.

GitHub
安装命令
npx skhub add organvm-iv-taxis/ontological-renamer
Markdown
SKILL.md

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

RelationshipSeparatorExample
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

DomainStrong Words
AI/Agentsagent, model, neural, inference, swarm
Developmentcode, build, deploy, pipeline, stack
Dataschema, query, transform, pipeline
Securityvault, shield, guard, sentinel
Knowledgecodex, 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

EnglishLatinGreek
skillars, artistechnē
knowledgescientiaepistēmē, gnōsis
agentagens, agentispraktōr
forgefabricachalkeion
vaultcamerathalamos
codexcodexbiblos
masterymagisteriumepistasia
bundlefasciculusdesmos
craftarstechnē
powerpotestasdynamis

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

NameClarityMemorabilityDomain Fit
skill-codex--agent-masteryHighHighHigh
agent-skill--knowledge-forgeHighMediumHigh
capability-weave--agent-loomMediumMediumMedium

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
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最新版本元数据

版本

v2026.09.25

发布时间

Sep 25, 2026

分类

未分类

许可证

Apache-2.0

源路径

skills/tools/ontological-renamer

默认分支

main

最新提交

6b53d3e

Tree SHA

92a821e