utilo

Hi Fazier! utilo helps people discover AI tools and agent skills by task, so they can find the right workflow faster. I’d love your feedback on the discovery experience and the tasks we should cover next.

AI tool sprawl solved. Most teams building with AI spend way too much time evaluating tools - ChatGPT, Claude, Perplexity, Gemini, all these specialized agents - and they get lost in features and pricing comparisons when they should just pick the right tool for the specific job. utilo flips the question on its head. Instead of "which AI tool do I pick," it becomes "what task do I need to do," and suddenly the right tool is obvious. The task-first discovery angle is brilliant because most people think in workflows, not tool categories. Especially for teams trying to stack multiple AI tools together - AI for research, AI for drafting, AI for editing - being able to compare and plan the whole workflow upfront saves days of research and terrible picking decisions. Real win for teams scaling their AI operations without hiring a full tooling expert.

utilo has great potential! A few improvements could make it even better. I'd love to share my feedback and suggestions. WhatsApp: https://wa.me/447307349530 Telegram: t.me/rforrank

The task-first framing is the right instinct. Most tool directories, ours included, default to a leaderboard because install count is the easiest thing to sort by - and that quietly optimises for whatever launched loudest rather than what fits the job. Genuine question, since we hit this wall hard: how are you keeping the 100 agent skills current? Skills live in GitHub repos, and repos get renamed, archived or deleted constantly. We ended up with thousands of dead listings before building a daily re-crawl that verifies against the frontmatter name rather than the directory name, because directory names lie. If the task mapping is hand-authored today, that is the part that breaks first at 10x. Also curious whether the task taxonomy is manual or derived from the tool docs.