Skill UI

This utility executes an autonomous, iterative loop, simulating a comprehensive agent workflow. It systematically manages tasks by checking current status, predicting the optimal next action using specialized tools, executing the required task (e.g., coding, testing), logging the progress, and scheduling the next iteration. It supports task discovery from multiple sources, including team tasks, swarm tasks, and file checklists, ensuring continuous, automated progress towards a defined goal.

A comprehensive, multi-session framework designed to systematically uncover and articulate a brand’s core identity. Using advanced techniques like Laddering, 5 Whys, and Projective methods, the process covers purpose, positioning, audience, personality, and voice. The final output is a reusable Master Brandbook perfect for briefing designers and marketing teams.

This guide helps users navigate and understand the complex components of the ECC (Everything Claude Code) ecosystem, including skills, commands, agents, hooks, and rules. It provides structured paths for new user onboarding, feature discovery, installation planning, and troubleshooting, ensuring answers are derived from the current repository state.

This skill guides the architectural design of an Itô Data Atlas agent for advanced quantitative research. It facilitates market discovery, constructs candidate prediction-market baskets, drafts necessary parameter changes, and integrates human-in-the-loop review. It is strictly for workflow and architectural planning, and does not execute live trading orders.

A comprehensive tool for discovering, vetting, and evaluating Laravel packages. Users can search for packages based on keywords, filter by health score (e.g., Healthy, Unhealthy), and verify compatibility across different Laravel and PHP versions. It helps developers choose actively maintained, robust packages, ensuring project stability and reducing technical debt.

A comprehensive tool for finding solutions to software errors, API usage issues, and compatibility problems by searching major developer communities, official documentation, GitHub, Stack Exchange, and various Chinese technical forums. Ideal for debugging and discovery workflows, it aggregates real-world workarounds and technical Q&A, but results should not be cited as academic evidence.

Generates a comprehensive, structured onboarding package for new marketing clients and service engagements. This workflow covers everything from the initial kickoff meeting agenda and deep discovery questionnaire to defining stakeholder roles (RACI), setting 30-60-90 day milestones, managing access provisioning, and establishing clear communication and escalation protocols for a smooth project start.

A comprehensive guide for authors submitting data mining papers to the ACM SIGKDD Conference. It helps authors assess the manuscript's fit, reframe the contribution (e.g., from journal to conference style), and strengthens the evidence bar by focusing on novelty, scale, reproducibility, and clear real-world impact required by top-tier data science venues.

This skill provides a comprehensive guide for authors targeting Cancer Discovery (AACR) or similar high-impact oncology venues. It details the journal's specific fit, required evidence standards, structural expectations, and potential desk-reject risks for manuscripts in cancer biology and translational oncology. Usage is recommended when selecting a venue, framing a manuscript, or preparing for submission.

The Codebase Memory MCP provides an accelerated graph-backed system for deep code discovery, architectural analysis, and tracing dependencies. It assists in symbol lookup, impact analysis, and understanding module relationships in large codebases. Users should treat the graph as an accelerator and confirm all conclusions with local source code.

This guide assists researchers in transforming academic findings into highly actionable and evidence-based policy recommendations. It specifically addresses the standards required for top-tier journals in public administration, emphasizing the mandatory link between observed 'Discovery' and proposed 'Suggestion' via an underlying 'Mechanism.' It teaches how to avoid generic filler language and structure policy suggestions around specific actors, stages, and concrete actions.

This comprehensive routing skill guides researchers in selecting the optimal journal venue for natural-science, clinical, or physical manuscripts. It classifies the work based on discipline, advance type (e.g., mechanism, discovery), evidence shape (e.g., clinical trial, simulation), and audience breadth. It helps optimize the manuscript's fit and submission chances across hundreds of leading scientific journals.