ai-entity-optimizer

ai-entity-optimizer Entity Optimization Assistant

Overview

The Entity Optimization Assistant is used to answer "Can the brand be recognized by AI", for content production, copy optimization, and publishing preparation. It is suitable for content creators, marketers, operations staff, and content media to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as pages, keywords or content materials, pasted page content, keywords, site structure, search goals, competitor summaries, or optimization questions, organizes key context, and outputs content diagnostics, structured optimization suggestions, and executable publishing checklists, making it easy to continue execution, review, or delivery. Capability positioning supplement: the skills.sh hot signal shows that entity-optimizer has user demand; the platform displays it as a content_marketing business assistant directory, outputting reviewable diagnostics, suggestions, or production preparation packages.

When to Use

Applicable Scenarios

When users ask questions such as "Can the brand be recognized by AI" and need to quickly break down goals, determine priorities, and form executable results
When content creators, marketers, operations staff, and content media need to generate content diagnostics, structured optimization suggestions, and executable publishing checklists around the Entity Optimization Assistant
When users have already prepared optimization goals (explaining the keywords to improve, search intent, visibility, citation opportunities, or conversion goals.), target audience (explaining search users, target market, industry, purchase stage, or content audience.), and page or site links (filling in publicly accessible pages, sites, SERPs, competitors, or reference links.), and want them organized into executable analysis or optimization results
When users need to turn materials related to the Entity Optimization Assistant into clear conclusions, priorities, and next steps

How to Invoke

Directly call the AI Skills API through the exported Python runner:

Command Examples

Basic Invocation

python3 scripts/run.py --params '{}'

Invocation with Common Parameters

python3 scripts/run.py --params '{"goal":"优化目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
`goal`	string	No	-	Explain the keywords to improve, search intent, visibility, citation opportunities, or conversion goals
`audience`	string	No	-	Explain search users, target market, industry, purchase stage, or content audience
`materialUrl`	string	No	-	Fill in publicly accessible pages, sites, SERPs, competitors, or reference links; a complete accessible URL must be provided
`materialFile`	string	No	-	Upload content drafts, keyword lists, site structure, audit reports, or SEO planning materials
`materialText`	string	No	-	Paste page content, keywords, site structure, search goals, competitor summaries, or optimization questions
`brandRequirements`	string	No	-	Supplement target region, language, brand restrictions, unchangeable facts, compliance requirements, or manual review priorities

See the complete machine-readable parameter structure at references/form-schema.json。

Parameter Value Reference

This skill currently has no categorical parameters that require an additional lookup table.

Supported Input Formats

The current skill directly accepts JSON parameters; if the parameters contain a link field, please pass a complete, accessible URL.

Example request

The following example parameters can be passed directly to scripts/run.py, and the runner will send them to the AI Skills API.

python3 scripts/run.py --params '{"goal":"优化目标"}'

Equivalent --params JSON：

{
  "goal": "优化目标"
}

Example result

{
  "success": true,
  "data": {
    "message": "示例结果请以技能真实返回结构为准。"
  },
  "meta": {
    "executionTime": 842,
    "cached": false
  }
}

Deliverables

Content diagnosis, structured optimization suggestions, actionable publishing checklist: organize the core results that can be directly read, reviewed, or delivered around the user's goals.
Interpretation of input materials: combine the optimization goals (explain the keywords, search intent, visibility, citation opportunities, or conversion goals to be improved.), target audience (explain the search users, target market, industry, purchase stage, or content audience.), and page or site links (provide publicly accessible pages, sites, SERPs, competitor, or reference links.) to extract key context and the basis for judgment.
Next steps: provide priorities, execution suggestions, or a content framework that can be further processed.

Suggestions for using the results

First determine whether the output answers the user's core question about the "Entity Optimization Assistant".
Then check whether the results cover the content diagnosis, structured optimization suggestions, actionable publishing checklist, and whether clear next steps are provided.
If the input materials are limited, it is recommended to have the user supplement the goals, audience, constraints, or source materials before running.

Preparation before running

AISKILLS_BASE_URL: default https://ai-skills.ai
AISKILLS_API_KEY: required, used for authenticated calls
AISKILLS_TENANT_ID: default default