One-shot sweep of Reddit and X (formerly Twitter) reactions to a product launch, announcement, release, or news moment in a time window, read out as volume, representative quotes, themes, and notable accounts. Use whenever the user asks how people are reacting, what the sentiment or reception is, whether a launch landed, or what Reddit or X is saying about something that just happened, even if they never say "sentiment" or name a platform. For ongoing, repeated coverage of a brand or topic over time, use reddit-monitoring instead.
Continuously monitor Reddit for new posts and comments mentioning a topic, brand, or competitor, deduped across polls. Use when the user wants ongoing Reddit monitoring, brand or competitor tracking, or alerts on new mentions across subreddits.
Turn a role or ICP spec into a ranked outbound sales list of LinkedIn prospects, each enriched with company context and a one-line personalized opener rationale. Use whenever the user wants prospects, leads, a target-account list, people to sell to, or personalized outreach angles, even if they only describe the buyer ("find me VPs of Sales at fintech startups") without saying "list" or "outreach". For a hiring shortlist use candidate-sourcing instead; for enriching prospects the user already has, use prospect-enrich.
Find LinkedIn candidates matching a role spec, shortlist them, and enrich the shortlist with current role and experience. Use when the user wants to source, find, or search for candidates, talent, or people matching criteria like title, school, or current/past employer (e.g. "engineers at Shopify who used to work at Amazon").
Deep research on one target company before outreach, covering company facts, key people, and recent posts. Use when the user wants to research an account, prepare for a call, or "get up to speed" on a single target company.
Enrich a list of companies (names, domains, or LinkedIn URLs) with firmographic data like industry, employee count, headquarters, and founding year. Use when the user wants to enrich, look up, or research a batch of companies.
Research what a person or company posts about on LinkedIn, including topics, tone, and how recently they have posted. Use when the user wants to know someone's posting voice, content themes, or activity level before writing outreach or a comment.
Enrich a list of prospects (profile URLs, slugs, or names) with LinkedIn role and experience data via Veezee. Use when the user wants current titles, companies, or work history for known people, or asks to "enrich" leads/prospects/candidates.
by veezee-build1 installs
About Ottermind skills
Every published skill from veezee-build. Following a publisher whose work already fits how you operate is often faster than evaluating individual skills one at a time.
Skills cover the full range of what an Ottermind agent does: building editable PowerPoint decks, generating product and brand images, writing and running code on a machine you connect, producing video from a script or a still, and cleaning and analysing spreadsheet data. A skill is what turns a general model into something that handles your specific version of one of those jobs the same way every time.
A skill is a plain Markdown file with a short frontmatter header, which means you can read exactly what it will do before running it, edit it to match your own conventions, and share it with colleagues. Once a skill produces the result you wanted, it can be attached to an agent or scheduled as an automation so the same work happens again without anyone rewriting the prompt.
What is an Ottermind skill?
A reusable instruction package written in Markdown. It gives an agent the context, steps, and constraints for one kind of task, so results stay consistent instead of depending on how well you phrased the prompt that day.
How do I install and use a skill?
Open any skill's detail page, read the full document, and install it into your workspace. From then on the agent can use it automatically when the task matches, or you can invoke it by name.
Can I create my own skill?
Yes. A skill is a Markdown file with frontmatter naming it and describing when it should be used. If you have a workflow you keep re-explaining to an agent, writing it down once as a skill is usually the shortest path to making it repeatable.
Do skills cost extra?
Browsing and installing skills from this library does not cost anything on its own. Running one consumes the same credits as any other agent task, depending on the model you choose and how much work the task involves.