Skill UI

Generates a comprehensive and actionable playbook designed for Customer Success Managers (CSMs) and Account Teams. This playbook structures all necessary elements for a renewal conversation, including detailed account health assessments, stakeholder mapping, risk registers, ROI value stories, and commercial negotiation strategies. It ensures that the team is prepared 90-180 days before the renewal date to maximize retention and identify expansion opportunities.

A comprehensive framework designed for formal procurement decision-making. This skill guides the creation of a weighted scorecard and detailed evaluation criteria by assessing functional fit, commercial terms, security compliance, and vendor stability. Use this when conducting RFPs, comparing multiple suppliers, or making critical software/service provider choices to ensure a holistic, risk-mitigated recommendation.

A comprehensive resource providing codified expertise for managing complex energy portfolios for large commercial and industrial (C&I) consumers. Covers electricity and gas procurement, tariff structure analysis (TOU, RTP), demand charge mitigation, PPA evaluation, and multi-site energy strategy development. Ideal for optimizing utility spending, understanding complex utility bills, and building resilient, sustainable energy supply chains.

This expert skill guides the creation of commercial-grade, highly optimized, and professional Windows installers for Python applications. It leverages Nuitka for extreme compilation (LTO, slimming, 32/64-bit selection) and Inno Setup for robust packaging. The goal is to deliver the smallest size, fastest startup time, and a residue-free user experience, strictly avoiding basic single-file builds. Ideal for professional software deployment.

This advanced tool performs comprehensive keyword research, classifying search intent (informational, commercial, etc.), identifying long-tail opportunities, and conducting competitor content gap analysis. It generates a highly prioritized, actionable content strategy document complete with recommended formats and a full SEO content roadmap.

A comprehensive guide for structuring the algorithm section of academic papers. It details the crucial steps for deciding on the solution route—whether to use commercial solvers, exact algorithms, or meta-heuristics. It emphasizes the requirement for rigorous pseudo-code, property analysis, and multi-level baseline comparisons to prove algorithmic novelty and contribution.

A comprehensive guide for establishing research reproducibility in Electronic Design Automation (EDA). It details best practices for pinning benchmark suites, disclosing specific tool versions (open/commercial), documenting technology nodes (PDKs), and handling stochastic data flows (seeds, variance). Essential for ensuring that semiconductor design claims and ML-for-EDA results are credible and verifiable by the academic community.

A comprehensive guide for authors preparing the 'Related Work' section for top-tier robotics conferences like ICRA. It details how to conduct thorough literature reviews across multiple research 'lanes,' handle concurrent work (arXiv), properly self-cite under double-anonymous rules, and position the novelty against both academic rivals and commercial systems.

This guide helps researchers determine if their academic paper meets the scope and originality gate of top-tier international economics journals (e.g., JIE). It provides a structured fit check across international trade, open-economy macroeconomics, international finance, and commercial policy, ensuring both a central international dimension and novel motivation or modeling structure.

A comprehensive guide for structuring the 'Related Work' section for top-tier HCI conferences (e.g., UIST). This document emphasizes that the section must function as a novelty proof, not a literature survey. It teaches authors to organize content by capability delta, utilize detailed comparison tables, and trace three critical lineages: technique, toolkit, and commercial practice, ensuring the work's unique contribution is clearly established.

A comprehensive guide for performing reverse engineering using Ghidra. This skill is essential for scenarios where commercial tools like IDA are unavailable, or when performing large-scale, automated headless analysis. It covers the entire workflow, from project setup and function decompilation to advanced headless scripting and integration with other exploit tools.