Skill UI

This expert skill analyzes codebases to identify, quantify, and prioritize all forms of technical debt—including code complexity, architectural flaws, outdated dependencies, and testing gaps. It calculates the measurable impact of this debt on development velocity, bug rates, and overall business risk. The output provides a comprehensive, actionable, and ROI-driven roadmap for systematic remediation.

Personalized reports that analyze recent Claude Code chats to surface recurring challenges, highlight learning gaps, curate HackerNews resources, and deliver actionable development insights directly to your Slack DMs for targeted growth.

This skill maps observed adversary behaviors, security alerts, and detection rules to the MITRE ATT&CK framework. It is essential for quantifying detection coverage, building ATT&CK heatmaps, tagging SIEM alerts, and prioritizing security controls based on known threat actor playbooks. Use it for comprehensive gap analysis and risk reporting.

A comprehensive guide to creating production-grade Product Requirements Documents (PRDs). This skill helps bridge the gap between vague business concepts and concrete technical specifications for modern software systems and AI features. It enforces a structured workflow, ensuring all necessary components—from user stories and success KPIs to technical architecture and risk analysis—are defined.

Analyze the gap between project requirements and existing codebase to inform implementation strategy. Evaluates code patterns, identifies missing capabilities, and suggests viable approaches for new features.

This skill provides a comprehensive, paragraph-level structural blueprint for writing top-tier systems conference papers (e.g., OSDI, SOSP, ASPLOS). It meticulously outlines page allocation, section-specific templates (like the 5-sentence abstract or Problem-Gap-Insight structure), and rigorous writing patterns (Gap Analysis, Observation-Driven) required for industry-leading academic submissions.

Covers WPA3/SAE attack techniques including transition-mode downgrade, Dragonblood side-channel analysis, SAE authentication flooding, H2E checks, and Wi-Fi 6E implications. Useful for assessing wireless security gaps and validating defensive hardening.

Analyze ecommerce SEO for product pages, schema, Google Shopping visibility, marketplace signals, and keyword gaps. Includes on-page checks, DataForSEO Merchant API integration for live data, and pricing intelligence.

This comprehensive guide helps researchers revise NLP research papers for top-tier conferences like EACL. It focuses on structuring the argument for fast legibility by emphasizing a clear Task-Gap-Method-Result-Scope arc, quantifying results with statistics, performing detailed error analysis, and maintaining academic rigor, anonymity, and multilingual clarity. Ideal for polishing conference submissions.

A guide for authors submitting research in software testing and analysis. It teaches how to structure the related work section to clearly demonstrate novelty and technical positioning. Authors must frame their contribution using a 'delta-first' approach, explicitly stating what the nearest existing technique lacks and how their work fills that gap, while also being vigilant about venue attribution and overlapping prior work.

A specialized skill for detecting discrepancies (drift) between declared API contracts (such as GraphQL schemas, OpenAPI specs, and RPC manifests) and the actual behavior of live backend handlers. It is used to identify hidden operations, contract mismatches, or vulnerabilities resulting from schema evolution, versioning skew, or implementation gaps. Must be used after initial sandbox assumptions are established.

This assistant specializes in complex cross-border and comparative legal analysis. It helps research legal questions across multiple global jurisdictions and provides a structured framework for evaluating legal risks. It utilizes the Legal Data Hunter MCP to access 13M+ legal documents covering case law, legislation, and doctrine from over 50 countries. The output is flexible, requiring mandatory inline citations for all legal claims, and emphasizes aggressive data quality reporting to flag gaps.