long-running-agent
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
357 skills found
Framework for building AI agents that persist state across multiple context windows, enabling them to complete complex, multi-day coding tasks without losing progress or context.
Interview preparation system featuring company research, STAR story building, mock practice, salary strategy, and follow-up drafting.
Collaborative UI design, wireframing, and Tailwind-first code polish to build distinctive, high-quality interfaces without AI slop.
Monitor and manage margin-living strategy by tracking balances, interest costs, and coverage ratios. Provides automated scaling recommendations and safety alerts based on portfolio-to-margin thresholds.
A 5-agent AI career assistant for resume building, job matching, interview prep, and growth planning.
Verify research idea novelty against recent literature. Use when user says '查新', 'novelty check', or needs to confirm if a method is original.
Automated PR lifecycle management: monitors conflicts, resolves CI failures, handles review feedback, and executes squash-merges for safe code integration.
Build complete UI screens by composing multiple uxscii components. Use when you need to create, scaffold, or build .uxm screens like login, dashboard, profile, settings, or checkout pages.
Access Y Combinator’s library of 443+ startup resources for expert advice on fundraising, co-founders, product development, growth, and scaling your business.
Provides a standardized template and guidelines for creating agents.md files to deliver project-specific context to AI coding assistants.
Automated CI/CD incident response, failure analysis, and remediation for GitHub Actions pipelines. Resolves build and test failures with safety guardrails.
Comprehensive AI-generated text detection framework. Features multi-layer analysis of vocabulary, structural patterns, model-specific fingerprints, and technical metadata artifacts to identify AI authorship.