Professional Naming Skill for Openclaw

A structured AI agent skill designed to generate multi-scenario names for individuals, brands, and companies with multi-turn risk assessment.

zhenyangze
v0.1.1
Jul 8, 2026
0
373
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install good-name-skill

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install good-name-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Professional Naming Skill?

The Professional Naming Skill is a specialized intelligence blueprint designed for AI agents to deliver highly structured, risk-aware, and contextual naming recommendations. It spans across three distinct domains: Chinese personal naming, English personal naming, and corporate or brand nomenclature. By moving beyond naive dictionary generation, it evaluates complex linguistic traits, cultural nuances, and phonetic structural diversity to deliver tailored lists.

Built to integrate seamlessly within modular multi-agent frameworks, this skill utilizes external domain files as structural reference points. It manages information asymmetry gracefully by prioritizing contextual alignment and executing proactive elicitation protocols when critical parameters—such as registration regions or family surnames—are missing.

Professional Naming Skill Use Cases

  • Brand & Corporate Identity Generation: Brainstorming structured candidate lists for companies, products, or brand lines based on targeted market subsectors and registration geographies.
  • Bilingual Personal Naming: Creating authentic English or Chinese personal names that incorporate traditional elements like the Five Elements (Wuxing) or phonetic flow checks.
  • Multi-Turn Adaptive Refinement: Iterating on naming lists under newly introduced stylistic or lexical constraints without recycling outdated or repetitive options.

How Professional Naming Skill Works

  1. Context & Scenario Identification: The skill evaluates user inputs to classify the task into one of three routing lanes: Chinese personal names, English personal names, or corporate/brand naming.
  2. Parameter Completeness Verification: It verifies essential inputs. If key fields are missing, it asks up to three precise questions instead of proceeding with incomplete data.
  3. Reference Ingestion: The system loads the isolated target reference file (references/chinese-naming-rules.md, references/english-naming-rules.md, or references/company-naming-rules.md) to apply custom constraints.
  4. Constraint Conflict Matrix Evaluation: It analyzes rule hierarchies (e.g., hard exclusions vs. user formatting preferences) to flag structural contradictions prior to generation.
  5. Diverse Set Generation: The system builds an array of 5 to 8 candidate options traversing at least 3 unique structural combinations or word-root patterns.
  6. Heuristic Filter & Risk Assessment: Every candidate is evaluated through an internal screening mechanism checking for negative double meanings, homophone overlap, and trademark collisions.
  7. Formatted Schema Output: Generates a clean result containing interpretations, structural suitability arguments, and risk indicators with explicit confidence recommendations.

Professional Naming Skill Setup

Add the skill configuration to your workspace layout. Ensure your local references/ directory contains the prerequisite markdown specifications:

mkdir -p references
touch references/chinese-naming-rules.md references/english-naming-rules.md references/company-naming-rules.md

Register the naming skill definition inside your orchestration protocol manifest to enable automated workspace routing.

Professional Naming Skill Data Schema & Taxonomy

The skill manages information pipelines and processes structural artifacts according to the following layout:

Input Requirements Matrix

Scenario Mandatory Fields Highly Recommended Optional Parameters
Chinese Personal Surname, Gender, Expectations Preference on syllable count, Wuxing, Phonetics Generation markers, Specified exclusions
English Personal Gender preference, Internal meaning Chinese spelling mappings, Intended geography Syllable lengths, Initial letters
Company / Brand Target niche, Aesthetic direction, Market region Trademark scope, Dual-language needs Domain availability preferences, Blocked tokens

Output Template Structure

Results are emitted utilizing strict Markdown block components:

  • Top Pick: The dominant candidate paired with its primary rationalization.
  • Candidates List (1-5+):
    • Meaning: Precise definition limited to 20 characters.
    • Fit: Specific compliance mapping against constraints.
    • Risk: Concrete structural caveats and heuristic alerts.
    • Recommendation: Grade indicators (High / Medium / Low).

Professional Naming Skill Advanced Features

  • Heuristic Conflict Protection: Prevents broken string outputs by identifying logical paradoxes in user prompts (e.g., multi-token requirements inside ultra-short constraints) and requesting adjustment parameters.
  • Contextual Freshness Lock: When constraints are modified in subsequent conversational turns, old candidate caches are purged to prevent recycled variations or simple token substitutions.
  • Dynamic Dictionary Reference Routing: Conserves prompt windows by exclusively loading scene-specific rulesets rather than pulling down full context structures.
  • Calibrated Risk Signaling: Replaces absolute validation claims with realistic warning prompts to guarantee professional legal and linguistic check boundaries.

SKILL.md


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