ai-competitor-alternatives

ai-competitor-alternatives Competitive Alternative Analysis Assistant

Overview

The competitive alternative analysis assistant is used to answer "why do users choose competitors," for content production, copy optimization, and publishing preparation. It is suitable for content creators, marketing professionals, operations staff, and content media to invoke after clarifying business objectives, content materials, or analysis targets. It will combine input such as business materials or problem statements, pasted business background, problem statements, reference materials, objectives, constraints, or content to be organized, organize key context, and output alternative page structures, differentiated selling points, and risk expression prompts, making it easy to continue execution, review, or delivery. Capability positioning supplement: competitive alternative content has clear commercial scenarios and reviewable outputs.

When to Use

Applicable Scenarios

Users raise questions such as "why do users choose competitors," and need to quickly break down objectives, determine priorities, and form executable results
Content creators, marketing professionals, operations staff, and content media need to generate alternative page structures, differentiated selling points, and risk expression prompts around the competitive alternative analysis assistant
Users have already prepared the processing objective (explain the problem they hope to solve this time, judgment objective, output form, or delivery purpose.), intended audience (explain the audience, role, team, or business scenario the output should serve.), reference links (fill in publicly accessible pages, materials, reference cases, or background links.), and hope to organize them into executable analysis or optimization results
Users need to turn materials related to the competitive alternative analysis assistant into clear conclusions, priorities, and next-step actions

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":"处理目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
`goal`	string	No	-	Explain the problem they hope to solve this time, judgment objective, output form, or delivery purpose
`audience`	string	No	-	Explain the audience, role, team, or business scenario the output should serve
`materialUrl`	string	No	-	Fill in publicly accessible pages, materials, reference cases, or background links; a complete accessible URL is required
`materialFile`	string	No	-	Upload business documents, data tables, reference materials, screenshots, or explanatory files
`materialText`	string	No	-	Paste business background, problem statements, reference materials, objectives, constraints, or content to be organized
`brandRequirements`	string	No	-	Supplement format requirements, unchangeable facts, constraints, risk points, or key points for manual review

For the complete machine-readable parameter structure, see references/form-schema.json。

Parameter Value Reference

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

Supported Input Formats

This skill directly accepts JSON parameters; if the parameters include link fields, pass complete, accessible URLs.

Example Request

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

python3 scripts/run.py --params '{"goal":"处理目标"}'

Equivalent --params JSON：

{
  "goal": "处理目标"
}

Example return 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

Replacement page structure, differentiated selling points, risk expression tips: organize core results around user goals that can be directly read, reviewed, or delivered.
Input material interpretation: combine the processing goal (explain the problem this is intended to solve, judgment goal, output form, or delivery purpose), intended users (explain the audience, role, team, or business scenario the output should serve), and reference links (fill in publicly accessible pages, materials, reference cases, or background links) to extract key context and judgment basis.
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 questions about the "Competitor Replacement Analysis Assistant".
Then check whether the results cover the replacement page structure, differentiated selling points, risk expression tips, and whether clear next steps are provided.
If there is little input material, it is recommended to have the user supplement the goal, audience, constraints, or original 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