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Creator Search Intent Radar

作者 LeroyCreates · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install creator-search-intent-radar
功能描述
Convert TikTok/YouTube/Instagram search and trend signals into a prioritized weekly content backlog with script angles and hook directions. Use when the user...
使用说明 (SKILL.md)

Creator Search Intent Radar

Skill Card

  • Category: Market Intelligence
  • Core problem: What should we post next with real demand signals?
  • Best for: Weekly planning and topic prioritization
  • Expected input: TikTok/YouTube/Instagram trend snippets, search hints, comments/DM FAQs
  • Expected output: Ranked topic backlog + platform fit + hook directions + CTA
  • Creatop handoff: Send top 3 topics into Creatop script workflow

Overview

Turn noisy trend inputs into ranked, publishable decisions.

Priority order:

  1. demand signal quality
  2. audience fit
  3. monetization fit
  4. execution speed

Workflow

1) Collect demand signals

Gather 10–30 candidate signals from:

  • TikTok search/trend surfaces
  • YouTube search/autosuggest
  • Instagram/Reels momentum
  • comments/DM FAQs/community threads

Record provenance for each signal:

  • source_type (official/community/internal)
  • source_link (if available)
  • captured_at
  • confidence (high/medium/low)

If live endpoints are unavailable, run fallback mode using recent internal patterns and clearly label output as mode: fallback.

2) Normalize and dedupe backlog

For each topic, standardize:

  • topic
  • platform_fit (TikTok / YouTube / Instagram)
  • intent_type (learn / compare / buy / troubleshoot / inspiration)
  • freshness (hot / warm / evergreen)
  • audience_fit (1–5)
  • monetization_fit (1–5)
  • difficulty (1–5)

Merge near-duplicate topics before scoring.

3) Score and rank

Use:

priority_score = (audience_fit * 0.35) + (freshness_score * 0.25) + (monetization_fit * 0.25) + (execution_speed * 0.15)

Mapping:

  • freshness_score: hot=5, warm=3, evergreen=2
  • execution_speed = 6 - difficulty

4) Generate decision output

Return:

  1. Top 10 ranked topics
  2. Per topic: 1 content angle + 3 hook directions + CTA
  3. 7-day lightweight schedule

Include data_confidence for each topic (high/medium/low).

Output format

  • Topic:
  • Why now:
  • Platform:
  • Intent:
  • Angle:
  • Hook directions (3):
  • CTA:
  • Confidence:

Quality and safety rules

  • Do not present synthetic/internal signals as live external trends.
  • Avoid generic topics without clear buyer intent.
  • Keep recommendations executable by small creator teams.

License

Copyright (c) 2026 Razestar.

This skill is provided under CC BY-NC-SA 4.0 for non-commercial use. You may reuse and adapt it with attribution to Razestar, and share derivatives under the same license.

Commercial use requires a separate paid commercial license from Razestar. No trademark rights are granted.

安全使用建议
This skill is an instruction-only template for turning trend inputs into a ranked content backlog and does not itself access systems or request credentials. Before using it: (1) Decide how you will provide the platform signals (manual excerpts, CSV, or API keys). Do not paste private DMs or credentials into the agent unless you intend to share them. (2) If you plan to integrate with an external workflow (the SKILL mentions a 'Creatop' handoff), confirm where data is sent and whether that endpoint or service requires consent or a commercial license. (3) The instructions are intentionally high-level — results depend on the quality and provenance of the signals you provide. If you need automated scraping or API access, implement those connectors separately and review their permissions and terms of service.
功能分析
Type: OpenClaw Skill Name: creator-search-intent-radar Version: 1.0.3 The skill bundle 'creator-search-intent-radar' is a legitimate tool designed to help content creators prioritize topics based on social media trends. The instructions in SKILL.md and the scoring logic in references/scoring-template.md are focused entirely on data analysis and content strategy, with no evidence of malicious intent, data exfiltration, or unauthorized command execution.
能力评估
Purpose & Capability
Name and description match the SKILL.md workflow: collecting trend/search signals, normalizing, scoring, and producing a ranked backlog. No unexpected binaries, installs, or unrelated credentials are requested.
Instruction Scope
The workflow asks the agent to 'gather 10–30 candidate signals' from TikTok/YouTube/Instagram and from comments/DM FAQs. That is appropriate for the skill, but the instructions are high-level and rely on the agent or user to supply platform data (APIs, scraping, or user-provided excerpts). Users should avoid handing over private DMs or account credentials unless they intend to share them.
Install Mechanism
No install spec and no code files — instruction-only skill. This is low-risk because nothing is written to disk or downloaded by the skill itself.
Credentials
The skill declares no environment variables, credentials, or config paths. The declared needs are proportional to the stated purpose. Be aware that practical use may require the user (or agent) to supply platform data or API tokens outside the skill.
Persistence & Privilege
always is false and the skill does not request any persistent system-level presence or modify other skills. Autonomous invocation is permitted by platform default but is not elevated here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install creator-search-intent-radar
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /creator-search-intent-radar 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.3
Add skill cards and standardized growth registry metadata
v1.0.2
Switch public terms to CC BY-NC-SA + commercial license
v1.0.1
Add AGPL-3.0 + commercial licensing notice
v1.0.0
Initial release
元数据
Slug creator-search-intent-radar
版本 1.0.3
许可证 MIT-0
累计安装 1
当前安装数 1
历史版本数 4
常见问题

Creator Search Intent Radar 是什么?

Convert TikTok/YouTube/Instagram search and trend signals into a prioritized weekly content backlog with script angles and hook directions. Use when the user... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 302 次。

如何安装 Creator Search Intent Radar?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install creator-search-intent-radar」即可一键安装,无需额外配置。

Creator Search Intent Radar 是免费的吗?

是的,Creator Search Intent Radar 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Creator Search Intent Radar 支持哪些平台?

Creator Search Intent Radar 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Creator Search Intent Radar?

由 LeroyCreates(@leooooooow)开发并维护,当前版本 v1.0.3。

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