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Creator Search Intent Radar

by LeroyCreates · GitHub ↗ · v1.0.3 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install creator-search-intent-radar
Description
Convert TikTok/YouTube/Instagram search and trend signals into a prioritized weekly content backlog with script angles and hook directions. Use when the user...
README (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.

Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install creator-search-intent-radar
  3. After installation, invoke the skill by name or use /creator-search-intent-radar
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
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
Metadata
Slug creator-search-intent-radar
Version 1.0.3
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 4
Frequently Asked Questions

What is Creator Search Intent Radar?

Convert TikTok/YouTube/Instagram search and trend signals into a prioritized weekly content backlog with script angles and hook directions. Use when the user... It is an AI Agent Skill for Claude Code / OpenClaw, with 302 downloads so far.

How do I install Creator Search Intent Radar?

Run "/install creator-search-intent-radar" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Creator Search Intent Radar free?

Yes, Creator Search Intent Radar is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Creator Search Intent Radar support?

Creator Search Intent Radar is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Creator Search Intent Radar?

It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.0.3.

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