Perplexity
Perplexity AIAn answer engine that cites what it used.
Check a survey's sample before trusting its percentages.
Reviewing a survey report or planning a small one
Running statistics on the raw data — this is a design check
Checks a sample description for the things that invalidate percentage claims: who was invited, who responded, what the response rate was, and which subgroups are too small to report. The output is a list of claims the data cannot support, which is more useful than a confidence interval on a biased sample.
Clone the repository, then copy the skill folder into your agent's skills directory — ~/.claude/skills/ for Claude Code. Skills are plain files: no build step, no daemon.
npx skills add survey-sampling-checkRead the SKILL.md before you install. A good skill states when it applies, what it must not do, and how to verify the result. A skill that only lists adjectives will change the agent's tone without improving its output — skip those.
An answer engine that cites what it used.
Paid, ad-free search with an API and no engagement optimisations.
A search assistant that lets you pick the model behind the answer.
Reads channels and groups through the Bot API: recent messages, search, and posting. The distinction that matters is bot token versus user session — a bot sees what …
Wraps the YouTube Data API for search, channel and video metadata, and captions where available. The transcript path is the useful one for research; anything that re…
Searches subreddits and reads threads with comments through the Reddit API. It is a reasonable research input and a poor automation target: the platform's rules and …