Browse Skills

Math Modeling Contest Workflow supports CUMCM, MCM/ICM, and Diangong Cup modeling-contest tasks such as problem selection, modeling, robustness checks, paper writing, compliance, and final submission review. It is not for generic data analysis or non-contest paper review.

Math Modeling Workflow guides CUMCM, MCM/ICM, and Diangong Cup projects through problem selection, modeling, solving, robustness checks, writing, and final submission review. Use it for explicit modeling-contest work, not for generic model selection or ordinary data analysis.

Academic Paper Reviewer simulates a multi-perspective peer review of a manuscript and produces reviewer reports, an editorial decision, and a revision roadmap. Use it for first-pass manuscript evaluation, re-review of revisions, or focused methodology review.

Agent Evaluation yapılandırılmış bir süreçle ajan değerlendirmesi analizi ve çıktısı üretir. Hedef, bağlam, metrikler, riskler ve uygulanabilir önerilerle karar vermeniz gereken durumlarda kullanılır.

AI Adoption Plan designs and documents a structured AI adoption plan with metrics, risk checks, and system integration. Use it when you need an actionable roadmap for introducing AI into a project or team.

Ai Agent Design creates structured plans for AI agents with context review, framework selection, metrics, and quality checks. Use it when designing or improving agent workflows that need measurable, reviewable output.

AI Assistant Spec creates a structured process for defining an AI assistant with context review, measurable goals, and quality checks. Use it when you need a practical spec that integrates with project memory and task boards.

AI Bias Audit produces a structured audit for AI bias with context gathering, analysis, recommendations, and quality checks. Use it when you need actionable findings, metrics, and an implementation plan.

AI Change Management creates a structured process for planning and validating AI-related changes. Use it to assess readiness, define metrics, and produce actionable implementation steps with quality checks.

AI Content Pipeline designs and documents a structured process for producing AI-generated content with quality checks and system integration. Use it when you need measurable outputs, human review, and clear metrics for improving the workflow.

AI Cost Optimization creates a structured process for assessing AI use cases, defining metrics, and recommending low-risk automation opportunities. Use it when you need actionable guidance on cost, quality, and human review for AI workflows.

AI Customer Service creates a structured process for designing AI support workflows with quality checks and system integration. Use it when you need actionable recommendations, metrics, and implementation steps for customer service automation.