Skill UI

Automate Gleap support and analytics operations with Composio’s Gleap toolkit via Rube MCP, always querying `RUBE_SEARCH_TOOLS`, verifying `RUBE_MANAGE_CONNECTIONS`, and executing schema-safe workflows through `RUBE_MULTI_EXECUTE_TOOL`.

This skill provides comprehensive guidance on optimizing Guidewire application performance. It covers advanced development techniques such as optimizing Gosu queries using the Query API, implementing efficient batch processing with BatchProcessBase, implementing caching strategies for frequently accessed reference data, and performing JVM heap tuning via the Guidewire Cloud Console (GCC). Use this when system performance bottlenecks are detected in Guidewire insurance or core business platforms.

Automated heap dump analysis guidance for performance testing, offering step-by-step instructions, best-practice patterns, production-ready code and configs, and validation against common standards.

This skill provides comprehensive methods to significantly reduce expenditure when using the Ideogram API for image generation. Techniques include implementing two-phase generation workflows (drafting with cheap models, finalizing with premium models), batching multiple images in a single API call, caching identical prompts, and setting up robust budget tracking alerts. Ideal for developers managing large-scale creative AI projects.

Automate Keap CRM tasks through Composio’s Rube MCP toolkit, ensuring that tools are discovered, connections verified, and schema-compliant executions run before each workflow.

Optimizes prompts for LLMs to cut token usage, lower costs, and boost response quality by analyzing, condensing, and rewriting instructions; useful when teams need faster, cheaper, clearer AI conversations.

Helps product managers match hypotheses, risks, and resources to the right Proof of Life probe so they can pick the cheapest prototype that reveals the harsh truth before overbuilding.

Coaches directors and senior product leaders through the leap to VP or CPO by diagnosing where they are in the journey, surfacing the unique constraints at that level, and offering adaptive questions and practical coaching tailored to preparing, interviewing, landing, and recalibrating.

This skill provides a comprehensive guide to detecting and analyzing heap spray exploitation techniques from raw memory dumps. Utilizing Volatility3's advanced plugins (such as malfind and vadinfo), users can identify key forensic artifacts like NOP sled patterns, suspicious executable memory regions, and embedded shellcode. It is essential for malware analysts and digital forensics investigators conducting incident response.

This guide details the end-to-end process of conducting a sophisticated spearphishing simulation campaign, mirroring real red team adversary techniques. It covers initial OSINT research and pretext development, building weaponized payloads that bypass security controls, setting up robust email infrastructure (SPF/DKIM/DMARC), executing the campaign in waves, and performing detailed post-campaign metrics analysis for comprehensive security reporting.

A comprehensive guide detailing the process of acquiring and analyzing data from smartphones and tablets. It covers best practices for device isolation, physical/logical acquisition using tools like Cellebrite UFED and open-source alternatives (ALEAPP, iLEAPP), and subsequent deep analysis of communications, call logs, and application artifacts for legal or corporate investigations.

This comprehensive guide dives deep into the internals of Go's built-in data structures (slices, maps, arrays) and standard library packages. It covers critical topics like capacity growth mechanics, preallocation strategies, pointer types (unsafe/weak), and the optimized usage of specialized containers (heap, list, ring). Use this resource to select the correct structure for optimal performance and memory safety in expert Go development.