ai-co-marketing

ai-co-marketing Co-Marketing Planning Assistant

Quick Start

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Overview

The Co-Marketing Planning Assistant is used to answer "how to do co-marketing," content production, copy optimization, and publishing preparation. It is suitable for content creators, marketing professionals, operations teams, and content media to call 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 publishing 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 co-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 ask questions such as "how to do co-marketing" and need to quickly break down goals, identify priorities, and form executable results
• Content creators, marketing professionals, operations teams, and content media need to generate conversion question priorities, copy-ready revisions, experiments, or follow-up action checklists around the Co-Marketing Planning Assistant
• Users have already prepared content goals (explain the desired publishing goals, conversion goals, rewriting direction, or evaluation criteria.), target audience (explain the audience, role, purchase stage, or usage scenario the content is aimed at.), reference content links (fill in publicly accessible articles, pages, competitor content, or reference links; for restricted content, please upload or paste instead.), and hope to organize them into executable analysis or optimization results
• Users need to turn Co-Marketing Planning Assistant-related materials into clear conclusions, priorities, and next-step actions

How to Call

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

Command Examples

Basic Call

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

Call 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 publishing goals, conversion goals, rewriting direction, or evaluation criteria
audience	string	No	-	Explain the audience, role, purchase stage, or usage scenario the content is aimed at
materialUrl	string	No	-	Fill in publicly accessible articles, pages, competitor content, or reference links; for restricted content, please upload or paste instead; must pass an accessible full 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 publishing goals
brandRequirements	string	No	-	Supplement brand tone, channel rules, format requirements, facts that must not be changed, compliance restrictions, or key points for pre-publishing review

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 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":"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, and a checklist of experiments or follow-up actions: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine the content goal (state the intended publishing goal, conversion goal, rewriting direction, or evaluation criteria.), target audience (state the audience, role, buying stage, or use scenario the content is aimed at.), and 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 recommendations, 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 "Joint Marketing Planning Assistant".
• Then check whether the results cover conversion issue priorities, copy-ready revisions, and a checklist of experiments or follow-up actions, and whether clear next steps are given.
• If the input materials are insufficient, 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