ai-competitor-profiling

ai-competitor-profiling Competitor Profiling Assistant

Overview

The Competitor Profiling Assistant is used to answer "Where is the competitor strong?", for content production, copy optimization, and publishing preparation. It is suitable for content creators, marketing professionals, operations staff, and content media to use after clarifying business goals, content materials, or analysis targets. It combines inputs such as business materials or problem statements, pasted business background, problem statements, reference materials, goals, constraints, or content to be organized. It organizes key context and outputs conversion question priorities, copy-ready revisions, experiments, or follow-up action checklists, making it easy to continue execution, review, or deliver. Capability positioning supplement: skills.sh all-time/trending signals show that competitor-profiling has user demand; the platform displays it as a growth_cro_sales business assistant directory, outputting reviewable diagnostics, recommendations, or production preparation packages.

When to Use

Applicable Scenarios

Users ask questions like "Where is the competitor strong?" and need to quickly break down goals, determine priorities, and form executable results
Content creators, marketing professionals, operations staff, and content media need to generate conversion question priorities, copy-ready revisions, experiments, or follow-up action checklists around the Competitor Profiling Assistant
Users have already prepared the processing goal (explain the problem they hope to solve, judgment goal, output format, or delivery purpose.), target 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 Competitor Profiling Assistant into clear conclusions, priorities, and next-step actions

How to Invoke

Call the AI Skills API directly through the exported Python runner:

Command Example

Basic Call

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

Call 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 you hope to solve, judgment goal, output format, 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, goals, constraints, or content to be organized
`brandRequirements`	string	No	-	Supplement format requirements, unalterable facts, constraints, risk points, or manual review focus

For the complete machine-readable parameter structure, see 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 include a link field, please pass a complete, accessible URL.

Example request

The example parameters below 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":"处理目标"}'

Equivalent --params JSON：

{
  "goal": "处理目标"
}

Example response

{
  "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

Conversion issue priorities, copy-ready revisions, experiment or follow-up action checklist: organize the core results around the user's goals that can be read, reviewed, or delivered directly.
Interpretation of input materials: combine the processing goal (explain the problem this session is intended to solve, the judgment target, the output format, or the delivery purpose.), intended users (explain the audience, role, team, or business scenario the output should serve.), reference links (provide publicly accessible pages, materials, reference cases, or background links.) to distill key context and the basis for judgment.
Next steps: provide priorities, execution suggestions, or a content framework that can be further developed.

Suggestions for using the results

First, determine whether the output answers the user's core question about the "Competitive Profile Assistant".
Then check whether the results cover conversion issue priorities, copy-ready revisions, experiment or follow-up action checklist, and whether clear next steps are provided.
If there is little input material, it is recommended to have the user supplement the goals, 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