Customer Research
Nexus-JPF/note-companion
When the user wants to conduct, analyze, or synthesize customer research.
A skill your agent uses 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…
Install Product Demand Research
$ npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills product-demand-research --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/product-demand-research .claude/skills/product-demand-research && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "product-demand-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/product-demand-research into .claude/skills/product-demand-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-demand-research", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/product-demand-researchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills product-demand-research --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/product-demand-research .agents/skills/product-demand-research && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "product-demand-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/product-demand-research into .agents/skills/product-demand-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-demand-research", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills product-demand-research --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/product-demand-research .cursor/skills/product-demand-research && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "product-demand-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/product-demand-research into .cursor/skills/product-demand-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-demand-research", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ScrapeCreators/social-media-research-skills.git --path skills/product-demand-research--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills product-demand-research --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/product-demand-research .gemini/skills/product-demand-research && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "product-demand-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/product-demand-research into .gemini/skills/product-demand-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-demand-research", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ScrapeCreators/social-media-research-skills product-demand-researchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/product-demand-research .github/skills/product-demand-research && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "product-demand-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/product-demand-research into .github/skills/product-demand-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-demand-research", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ScrapeCreators/social-media-research-skills product-demand-research --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ScrapeCreators/social-media-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/product-demand-research .opencode/skills/product-demand-research && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "product-demand-research" agent skill from https://github.com/ScrapeCreators/social-media-research-skills/tree/main/skills/product-demand-research into .opencode/skills/product-demand-research/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "product-demand-research", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
product-demand-research- GitHub stars
- 3.3k
- Token cost
- ~636 tokens
- SKILL.md length
- 198 words
- Files
- 1
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses 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…
- Works in 6 steps: Turn the idea into search queries and… → Search Reddit and relevant social… → Pull comments/transcripts for promising… → …
- The user wants to validate a product idea
- SKILL.md covers Overview, When to Use, Signals to Extract and Workflow, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Product Demand Research is an agent skill from ScrapeCreators/social-media-research-skills. 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.
Its SKILL.md is about 640 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering Market research, Social media posts and Video and podcast notes. It works with Reddit. The repository describes itself as: AI agent skills for social media research. Outlier posts, comment mining, competitor teardowns, ad libraries & trends across TikTok, Instagram, YouTube, Reddit, X, LinkedIn &… The licence is MIT.
When your agent uses it
- The user wants to validate a product idea
- Find pain points
- Mine demand signals
- Discover objections
Example prompts
- “/product-demand-research”
Requirements
- A credential in SCRAPECREATORS_API_KEY
- Pre-approved tools (allowed-tools): Bash, Read, Write, WebFetch
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Turn the idea into search queries and synonyms.
- Search Reddit and relevant social platforms.
- Pull comments/transcripts for promising posts/videos.
- Cluster pains, triggers, alternatives, and desired outcomes.
- Score demand by frequency, intensity, recency, and willingness-to-pay hints.
- Produce messaging and product implications.
What it can do on your machine
Read from SKILL.md and the folder at commit 64ba7b4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
BashReadWriteWebFetch
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Product Demand Research loads about 636 tokens when it runs. Until then it costs about 69 tokens; SKILL.md has 198 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
allowed-tools: Bash, Read, Write, WebFetch
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from ScrapeCreators/social-media-research-skills at commit 64ba7b4, republished under its MIT licence (© ScrapeCreators). 198 words, ~636 tokens.
Download SKILL.mdSave it as
.claude/skills/product-demand-research/SKILL.md (or your agent's skills folder).- 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
Product Demand Research
Overview
Use 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.
When to Use
Use this skill when the user asks to:
- validate a startup or product idea
- find pain points in a niche
- mine Reddit/TikTok/YouTube comments for product ideas
- find buyer language and objections
- understand alternatives people use today
- create messaging from demand evidence
Signals to Extract
- repeated complaints
- "I wish" / "is there a tool" / "how do I" phrases
- workarounds and spreadsheets/manual processes
- comparison and alternative mentions
- buying intent
- objections to existing solutions
- exact words people use for the problem
Workflow
- Turn the idea into search queries and synonyms.
- Search Reddit and relevant social platforms.
- Pull comments/transcripts for promising posts/videos.
- Cluster pains, triggers, alternatives, and desired outcomes.
- Score demand by frequency, intensity, recency, and willingness-to-pay hints.
- Produce messaging and product implications.
Output Format
# 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. ...Common Pitfalls
- Do not claim market validation from a handful of comments.
- Do not ignore negative evidence or existing alternatives.
- Do not paraphrase away the best customer language.
© ScrapeCreators, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/product-demand-research of ScrapeCreators/social-media-research-skills.
Open the folder on GitHubat commit 64ba7b4
Compare with similar skills
Product Demand Research next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Product Demand Research this skillScrapeCreators/social-media-research-skills | 3.3k | — | ~636 | Automated safety check: Notes | MIT | |
| Customer ResearchNexus-JPF/note-companion | 869 | 5 repos | ~3.2k | Automated safety check: Pass | MIT | |
| Bggg Data Redditbinggandata/bggg-skills | 603 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Reddit InsightsBrianRWagner/ai-marketing-claude-code-skills | 440 | 2 repos | ~3.1k | Automated safety check: Pass | None | |
| Reddit Competitor Analysis API Skillbrowser-act/skills | 6.1k | 2 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Reddit Insightslignertys/reddit-research-skills | 1.3k | — | ~2.2k | Automated safety check: Warn | MIT |
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Reddit Competitor Analysis API Skill
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This skill helps users extract structured data from Reddit posts and comments via BrowserAct API.
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Searches Reddit posts by meaning through the reddapi.dev index, with topic momentum and subreddit lookup, to research how people describe problems and compare tools.
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Searches Reddit through the reddapi.dev indexer with two search modes, trend queries and subreddit lookup, with no Reddit OAuth or app registration.
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Related
Works with
Categories
Questions about Product Demand Research
What does Product Demand Research do?
A skill your agent uses 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…. Product Demand Research is an agent skill from ScrapeCreators/social-media-research-skills. 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.
When should I use Product Demand Research?
Product Demand Research fits situations like: the user wants to validate a product idea; find pain points; mine demand signals; discover objections.
How do I install Product Demand Research in Claude Code?
Run `npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a claude-code`. Or copy the skill folder (skills/product-demand-research in ScrapeCreators/social-media-research-skills) into .claude/skills/product-demand-research in your project. Claude Code loads it when a task matches its description.
How do I install Product Demand Research in Codex?
Run `npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a codex`. Or copy the skill folder (skills/product-demand-research in ScrapeCreators/social-media-research-skills) into .agents/skills/product-demand-research in your project. Codex loads it when a task matches its description.
Can I use Product Demand Research in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ScrapeCreators/social-media-research-skills --skill product-demand-research -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/product-demand-research, .gemini/skills/product-demand-research, .github/skills/product-demand-research and .opencode/skills/product-demand-research in your project.
What does Product Demand Research need to run?
SKILL.md names no scripts, command-line tools or credentials: Product Demand Research is instructions for the agent only. Our summary lists: A credential in SCRAPECREATORS_API_KEY. Its frontmatter pre-approves these tools: Bash, Read, Write, WebFetch.
Does Product Demand Research access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Product Demand Research safe to install?
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Product Demand Research use?
Product Demand Research is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Product Demand Research use?
About 636 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Product Demand Research?
Skills that share tags, products or a category with Product Demand Research: Customer Research (Nexus-JPF/note-companion, 869 stars), Bggg Data Reddit (binggandata/bggg-skills, 603 stars), Reddit Insights (BrianRWagner/ai-marketing-claude-code-skills, 440 stars) and Reddit Competitor Analysis API Skill (browser-act/skills, 6.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Product Demand Research?
ScrapeCreators (a GitHub organization) maintains it in ScrapeCreators/social-media-research-skills, which has 3,258 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on August 26, 2026.
Source: ScrapeCreators/social-media-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.