ad-library-teardown
Use when the user wants to analyze active ads from Meta/Facebook, Google, or LinkedIn ad…
Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.
$ npx -y skills add ScrapeCreators/social-media-research-skills --skill product-demand-research --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/product-demand-researchContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.
name: product-demand-research
description: Use when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.
allowed-tools: Bash, Read, Write, WebFetch
version: 1.0.0
author: ScrapeCreators
license: MIT
homepage: https://scrapecreators.com
repository: https://github.com/ScrapeCreators/social-media-research-skills
metadata:
openclaw:
requires:
env:
- SCRAPECREATORS_API_KEY
primaryEnv: SCRAPECREATORS_API_KEY
homepage: https://scrapecreators.com
tags:
- social-media
- research
- scrapecreatorsUse public social data to understand whether people actually complain about, ask for, buy, hack around, or recommend solutions in a product category. The output should help founders and marketers decide what to build, position, or test.
Use this skill when the user asks to:
1. Turn the idea into search queries and synonyms. 2. Search Reddit and relevant social platforms. 3. Pull comments/transcripts for promising posts/videos. 4. Cluster pains, triggers, alternatives, and desired outcomes. 5. Score demand by frequency, intensity, recency, and willingness-to-pay hints. 6. Produce messaging and product implications.
# Product Demand Research: {idea/category}
## Verdict
- Demand signal: Strong/Medium/Weak
- Confidence: High/Medium/Low
- Why:
## Pain Points
| Pain | Evidence | Exact language | Source |
|---|---|---|---|
## Existing Alternatives / Workarounds
- ...
## Objections and Barriers
- ...
## Messaging Angles
- "..."
## Product Ideas / Tests
1. ...
2. ...Practical AI agent skills for social media research, powered by ScrapeCreators.
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