Overview
The Content Marketing Diagnostic Assistant is used to answer "Can content drive growth?", performance diagnostics, website quality, and experience metrics. It is suitable for technical, product, marketing, and software users to call after clarifying business goals, content materials, or analysis targets. It combines inputs such as topics, drafts or reference materials, pasted topics, drafts, channel requirements, reference materials, selling point information, or publishing goals, organizes key context, and outputs content diagnostics, optimization suggestions, and execution checklists for further execution, review, or delivery.
When to Use
Applicable Scenarios
- The user asks questions such as "Can content drive growth?" and needs to quickly break down goals, judge priorities, and form actionable results
- Technical, product, marketing, and software users need to generate content diagnostics, optimization suggestions, and execution checklists around the Content Marketing Diagnostic Assistant
- The user has already prepared 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 intended for.), reference content links (fill in publicly accessible articles, pages, competitor content, or reference links; for restricted content, please upload or paste instead.), and wants to organize them into actionable analysis or optimization results
- The user needs to turn materials related to the Content Marketing Diagnostic Assistant into clear conclusions, priorities, and next steps
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, roles, buying stages, or usage scenarios the content is intended for |
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 topics, drafts, channel requirements, reference materials, selling point information, or publishing goals |
brandRequirements |
string | No | - | Supplement brand tone, channel rules, formatting requirements, unchangeable facts, compliance restrictions, or pre-publication review priorities |
See the complete machine-readable parameter structure at 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 a link field, please provide a complete, accessible URL.
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
- Content diagnosis, optimization suggestions, execution checklist: organize the core results around user 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 usage scenario 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 actions: 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 questions about the 'Content Marketing Diagnosis Assistant'.
- Then check whether the results cover the content diagnosis, optimization suggestions, and execution checklist, and whether they provide clear next actions.
- 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: defaulthttps://ai-skills.aiAISKILLS_API_KEY: required, used for authenticated callsAISKILLS_TENANT_ID: defaultdefault