social-rising-topic-radar-cn

social-rising-topic-radar-cn Social Media Content Assistant

Quick Start

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Overview

The social media content assistant is used to answer "Will this content be seen?", content operations, new media, and topic selection. It is suitable for operations, marketing, content media, and e-commerce to call after clarifying business goals, content materials, or analysis targets. It combines trend signals and topic leads, pasted hot lists, comment excerpts, competitor titles, platform observations, or topic ideas. and other inputs, organizes key context, and outputs summaries, diagnostic conclusions, action recommendations, and reusable deliverables, making it easy to continue execution, review, or delivery.

When to Use

Applicable Scenarios

• Users ask questions such as "Will this content be seen?" and need to quickly break down goals, determine priorities, and form actionable results
• Operations, marketing, content media, and e-commerce need to generate summaries, diagnostic conclusions, action recommendations, and reusable deliverables around the social media content assistant
• Users have already prepared uploaded trend materials (upload hot topic screenshots, topic selection sheets, competitor content, data exports, or operations reviews.), trend signals and topic leads (paste hot lists, comment excerpts, competitor titles, platform observations, or topic ideas.), trend source links (fill in publicly accessible lists, search pages, topic pages, competitor content, or report links.), and hope to organize them into actionable analysis or optimization results
• Users need to turn social media content assistant-related materials into clear conclusions, priorities, and next steps

How to Call

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 '{"trendSignalFile":"上传趋势资料"}'

Parameter Description

Parameter	Type	Required	Default	Description
trendSignalFile	string	No	-	Upload hot topic screenshots, topic selection sheets, competitor content, data exports, or operations reviews
trendSignalText	string	No	-	Paste hot lists, comment excerpts, competitor titles, platform observations, or topic ideas
trendSourceLink	string	No	-	Fill in publicly accessible lists, search pages, topic pages, competitor content, or report links; a complete accessible URL must be provided
radarOutputFocus	string	No	上升选题	Select the direction that needs the highest priority for this China hot topic rising topic radar; optional values:上升选题、内容角度、平台打法、发布节奏
audienceNicheContext	string	No	-	Explain the account positioning, target users, platform, content format, business goals, and prohibited areas
competitorTopicNotes	string	No	-	Supplement competitor accounts, existing topics, untouchable topics, publishing time, and material resources

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

Parameter Value Reference

The current skill has no classification parameters that require additional lookup.

Supported Input Formats

The current skill directly accepts JSON parameters; if the parameters contain link fields, please provide 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 '{"trendSignalFile":"上传趋势资料"}'

Equivalent --params JSON：

{
  "trendSignalFile": "上传趋势资料"
}

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

• Summary, diagnostic conclusions, action recommendations, and reusable deliverables: organize the core results around the user's goals that can be directly read, reviewed, or delivered.
• Interpretation of input materials: combine uploaded trend materials (upload hotspot screenshots, topic selection lists, competitor content, data exports, or operational reviews.), trend signals and topic leads (paste hotspot rankings, comment excerpts, competitor titles, platform observations, or topic ideas.), and trend source links (fill in publicly accessible ranking pages, search pages, topic pages, competitor content, or report links.) to extract key context and the basis for judgment.
• Next steps: provide priorities, execution recommendations, or a content framework that can continue to be developed.

Suggestions for using the results

• First determine whether the output answers the user's core questions about the "Social Media Content Assistant."
• Then check whether the results cover the summary, diagnostic conclusions, action recommendations, and reusable deliverables, and whether they provide clear next steps.
• If the input materials are insufficient, 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