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name: 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 asks what to post next, wants trend-based topic discovery, needs search-intent analysis, or wants a platform-by-platform content idea pipeline.

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.