Web Search

Deep research that finds primary sources with named individuals, community sentiment from Reddit/HN/X, and news coverage. No summaries of summaries — actual quotes with URLs.

Debug microservices by enforcing end-to-end correlation (trace IDs, request IDs) and systematically locating propagation breaks or sampling gaps.

Have your Claw periodically check the AI Slop Wiki and build a living filter of patterns to avoid. Every piece of content your Claw creates runs through this filter first, so you never publish anything that reads like generic AI-generated filler.

A personal, local-first AI assistant that automates small daily tasks—organizing files, setting reminders, and monitoring system events—without touching sensitive data or taking risky actions without your approval.

If you're skipping meals, behind on rent, or considering dropping classes because of money, this skill triages your situation and maps campus and community resources with concrete next steps — not just a list of phone numbers.

New country, new systems, new everything. This skill builds a first-30-days checklist (banking, SIM, IDs, insurance), a weekly social connection plan, and an academic support map so you spend less time confused and more time settled.

$200 textbook you'll open three times? Required access code with no alternatives? This recipe builds a cost-minimization plan per course — library reserves, OER alternatives, rental options, inclusive-access opt-outs, and a polite email template for professors when you need to ask.

Turn any development plan into a self-running pipeline. Build → Review → Security scan → Verify → Commit → Advance while you sleep — Kapilot handles each phase automatically and notifies you when it's done.

Run a deep, no-sycophancy audit of your entire codebase and docs, dropping the results into docs/audits as a scorched-earth report. Dry humor included, crowd-pleasing strictly forbidden.

A research agent that tracks prior sessions and avoids redundant searches. It surfaces gaps in your existing knowledge base and picks up exactly where you left off.

Automate the daily flood of scientific papers by extracting the key ideas, methods, and conclusions so you can stay current in your field without reading everything yourself.

Too many papers, too little time, no reliable way to decide what to read next. This recipe builds a time-boxed, prioritized reading queue for any topic, project, or thesis chapter — with a built-in "rabbit-hole safe" capture channel for questions to research later.