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, system...
BY luokai0UPDATED Oct 27, 2026
INTENDED FOR◈OpenClawInstall in a listed agent.
instructions.md
---
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
---
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
COMPATIBILITY & REFERENCES
Platform guidance
Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.
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