ai-product-marketing

ai-product-marketing Product Marketing Assistant

Quick Start

More Skills

Overview

The Product Marketing Assistant is used to answer "Are the selling points clearly stated?", content production, copy optimization, and launch preparation. It is suitable for content creators, marketing professionals, operations staff, and content media to invoke after clarifying business goals, content materials, or analysis targets. It combines inputs such as topic, draft or reference materials, pasted topic, draft, channel requirements, reference materials, selling point information, or launch goals to organize key context and output conversion question priorities, copy-ready revisions, experiments, or follow-up action checklists, making it easy to continue execution, review, or delivery. Capability positioning supplement: skills.sh trending signals show that product-marketing 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 raise questions like "Are the selling points clearly stated?" and need to quickly break down goals, determine priorities, and form actionable 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 Product Marketing Assistant
• Users have already prepared content goals (explaining the desired launch goals, conversion goals, rewriting direction, or evaluation criteria.), target audience (explaining the audience, roles, purchase stages, or usage scenarios the content is aimed at.), reference content links (providing publicly accessible articles, pages, competitor content, or reference links; for restricted content, please upload or paste instead.), and want to organize them into actionable analysis or optimization results
• Users need to turn Product Marketing Assistant-related materials 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":"内容目标"}'

Parameter Description

Parameter	Type	Required	Default	Description
goal	string	No	-	Explain the desired launch goals, conversion goals, rewriting direction, or evaluation criteria
audience	string	No	-	Explain the audience, roles, purchase stages, or usage scenarios the content is aimed at
materialUrl	string	No	-	Provide publicly accessible articles, pages, competitor content, or reference links; for restricted content, please upload or paste instead; must pass a complete accessible URL
materialFile	string	No	-	Upload drafts, brand materials, channel requirements, reference materials, or content planning files
materialText	string	No	-	Paste topic, draft, channel requirements, reference materials, selling point information, or launch goals
brandRequirements	string	No	-	Supplement brand tone, channel rules, format requirements, unchangeable facts, compliance restrictions, or key points for pre-launch 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 currently accepts JSON parameters directly; if the parameters contain 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":"内容目标"}'

Equivalent --params JSON：

{
  "goal": "内容目标"
}

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

• Conversion issue priorities, copy-ready revisions, experiments, or follow-up action lists: organize the core results around the user's goals that can be read, reviewed, or delivered directly.
• Interpretation of input materials: combine the content goal (explain the intended publishing goal, conversion goal, rewrite direction, or evaluation criteria.), target audience (explain the audience, roles, buying stage, or usage scenarios the content is aimed at.), reference content links (provide publicly accessible articles, pages, competitor content, or reference links; for restricted content, upload or paste it instead.) to extract 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 "Product Marketing Assistant".
• Then check whether the results cover conversion issue priorities, copy-ready revisions, experiments, or follow-up action lists, 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 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