ai-copy-editing

ai-copy-editing Conversion Experiment Assistant

Overview

The Conversion Experiment Assistant is used to answer "Is this change worth testing?", for content production, copy optimization, and publishing preparation. It is suitable for content creators, marketers, operations, 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 publishing goals, organizes key context, and outputs content diagnosis, structured optimization suggestions, and an executable publishing checklist, making it easy to continue execution, review, or deliver. Capability positioning supplement: skills.sh all-time/trending signals show that copy-editing has user demand; the platform displays it as a content_marketing business assistant directory, outputting reviewable diagnosis, suggestions, or production preparation packages.

When to Use

Applicable Scenarios

Users ask questions such as "Is this change worth testing?" and need to quickly break down goals, identify priorities, and form executable results
Content creators, marketers, operations, and content media need to generate content diagnosis, structured optimization suggestions, and executable publishing checklists around the Conversion Experiment 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, buying 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 Conversion Experiment Assistant-related materials 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 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 publishing goals, conversion goals, rewriting direction, or evaluation criteria
`audience`	string	No	-	Explain the audience, role, buying 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; a complete accessible URL must be provided
`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 review points before publishing

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

Parameter Value Reference

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

Supported Input Formats

This skill directly accepts JSON parameters; if the parameters include a link field, please provide 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

Content diagnosis, structured optimization suggestions, and an executable publishing checklist: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
Interpretation of input materials: combine the content goals (explain the desired publishing goals, conversion goals, rewriting direction, or evaluation criteria.), target audience (explain the audience, roles, buying stages, or usage scenarios the content is aimed at.), and reference content links (provide publicly accessible articles, pages, competitor content, or reference links; for restricted content, please 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 "Conversion Experiment Assistant".
Then check whether the results cover the content diagnosis, structured optimization suggestions, and executable publishing 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