Skill UI

This skill analyzes comprehensive sprint delivery data, including ticket completion rates, carry-over analysis, and unplanned work. It generates a structured, data-grounded retrospective brief, transforming raw metrics into concrete discussion prompts (Start/Stop/Continue) and actionable, testable experiments for the next iteration. It helps teams focus on measurable solutions rather than subjective debates.

A comprehensive framework for creating defensible, bottom-up sales forecasts. This model guides users through building detailed pipeline stage models, conducting scenario analysis (Upside, Base, Downside), and logging key assumptions. Ideal for sales and revenue leaders who need a systematic, data-driven approach to projecting future revenue, moving beyond simple guesswork.

This skill generates a comprehensive, structured threat model for any given service or feature using the STRIDE framework. It guides users through identifying critical assets, defining trust boundaries, enumerating specific threats (Spoofing, Tampering, Repudiation, Information Disclosure, Denial of Service, Elevation of Privilege), assessing risk, and proposing concrete mitigation controls. Ideal for security design reviews and documentation.

Conducts a comprehensive, scored audit of a brand's social media presence across multiple platforms. It assesses profile completeness, content quality, audience engagement, posting consistency, and competitive positioning. The output includes a detailed health score, platform-by-platform analysis, competitor gap analysis, and a prioritized, actionable strategy plan ready for immediate implementation by marketing teams.

This tool analyzes historical sprint velocity data to generate a comprehensive engineering team health report. It moves beyond simple charts by diagnosing underlying delivery patterns, identifying risks like chronic over-commitment, and assessing story point calibration. The report provides actionable recommendations for improving capacity planning and team predictability.

This skill enables querying Delta Lake tables and raw files stored in OneLake using DuckDB. It supports two primary modes: local execution via CLI/Python for ad-hoc analysis, and in-notebook execution within Fabric, combining DuckDB's speed with notebook context. Ideal for data exploration, schema discovery, and data quality validation across the Fabric ecosystem.

This skill conducts deep, structured competitor analysis using Browserbase's advanced discovery and enrichment tools. It generates a comprehensive HTML report that includes market overviews, detailed per-competitor deep dives (covering marketing, social, news, and technical aspects), side-by-side feature/pricing matrices, and comparative mentions feeds. Ideal for market researchers, product managers, and strategists needing actionable competitive intelligence.

This skill executes an LLM Council workflow, allowing multiple open-weight large language models (LLMs) to independently answer a prompt. The process involves parallel deliberation, peer ranking, and final synthesis by a designated Chairman LLM, providing a comprehensive and highly vetted final answer. Ideal for complex problem-solving and critical analysis.

A comprehensive skill for detecting and analyzing malicious behavior in mobile applications (Android/iOS). It employs multi-layered security analysis, including static indicator checking (permissions, manifest), dynamic instrumentation (Frida), network traffic monitoring, and automated scanning (MobSF). Use this skill when investigating suspicious apps for data exfiltration, C2 communication, or unauthorized access.

A comprehensive guide detailing the structured process for responding to phishing incidents. It covers email header analysis, malicious content sandboxing (URLs/attachments), scoping the impact across the organization, and performing thorough remediation, including mailbox purging and credential reset.

A comprehensive, pre-deployment, defense-in-depth security audit tool for Solidity smart contracts built with Foundry. It combines static analysis (Slither, Aderyn), symbolic execution (Mythril), property-based fuzz testing, and key hygiene checks to proactively detect critical vulnerabilities like reentrancy, access control flaws, and arithmetic bugs before deployment to any EVM chain.

A comprehensive guide detailing the systematic workflow for analyzing malicious Linux ELF binaries. It covers essential techniques including static analysis (using readelf, elftools), dynamic tracing (strace, ltrace), and deep reverse engineering (GDB) of various threats like botnets, cryptominers, and ransomware targeting Linux environments, containers, and cloud infrastructure.