Skill UI

This skill reviews outside legal counsel invoices and associated billing data, including LEDES exports, OCGs, approved rates, and budgets. It assesses compliance against internal rules and benchmarks spend, staffing, and law firm performance. Users can generate comprehensive management reports, scorecards, and dispute logs for in-house legal departments.

This skill analyzes local Q&A session JSONL files to produce a complete, auditable weekly report in Markdown format. It supports generating routine weekly summaries, comparing performance across consecutive time windows, and identifying key trends and risks. The output is a single, self-contained Markdown file designed to provide sufficient aggregates and structure for downstream documentation rendering (e.g., Feishu or whiteboards), without needing external data sources or APIs.

This skill assists in-house legal teams in architecting external counsel panels. It helps define optimal panel structures, establish weighted selection criteria for law firms, and perform right-sourcing analyses (tiering). Users can assess coverage gaps, optimize legal spend, and transform informal vendor relationships into strategic, data-driven frameworks, ensuring cost efficiency and strategic alignment.

An expert advisor trained in PCI DSS standards (v4.0.1 current) and QSA methodology. This skill provides deep guidance on compliance requirements, including CDE scoping, SAQ selection, gap assessment roadmaps, network segmentation, data tokenization, and general best practices for protecting cardholder data. Essential for security, compliance, and engineering teams.

This skill provides a comprehensive framework for in-house legal teams to evaluate the performance of outside counsel. It guides the creation of a detailed scorecard, structures post-matter feedback forms, prepares Quarterly Business Review (QBR) materials, and generates comparative firm scorecards, allowing for data-driven panel decision-making.

A read-only diagnostic tool used to estimate the total download size and projected sync frequency cost of an offline data profile before deploying it to end-users. It helps gauge the impact of data scope changes and prevent unexpected data usage costs.

A comprehensive guide and toolkit for drafting privacy policies that meet strict GDPR and CNIL compliance standards. It provides essential templates, outlines mandatory disclosures (data rights, processing purposes, legal bases), and includes a structured questionnaire to ensure all necessary client information—including data types, processing activities, and legal justifications—is collected for a robust and legally sound policy.

A practical methodology for turning a known vulnerability into a stable working remote exploit. Covers stack overflow, heap exploitation, and Linux kernel pwn, addressing real-world gaps between local CTF success and reliable remote execution: libc version mismatches, heap spray timing, SMEP/SMAP/KASLR, stack alignment, and network buffering. Uses pwntools with GEF/pwndbg, ROPgadget/Ropper, one_gadget, libc-database, and qemu-system.

QiuZhi2046's content playbook for AI science popularization: pain-point-first hooks, hands-on testing with real data, one-click solutions, and multi-platform strategies for tutorials, tool reviews, and tech commentary. Ideal for creators making AI accessible.

A comprehensive guide and workflow tool for converting high-fidelity visual designs from Stitch into production-grade, component-based dashboards. Targets the modern stack including React 18, Vite, TypeScript, and TanStack Query. It integrates design tokens from DESIGN.md for styling consistency, supports complex data visualization, and includes patterns for Web3 integration (ethers/viem) for reading on-chain data.

A powerful, multi-source skill designed for advanced academic research in law. It accesses major databases covering French, European, and international legal doctrine, including scholarly articles, theses, and works for comparative law studies. Ideal for state-of-the-art reviews and bibliometric analysis.

This advanced skill provides systematic, adversarial verification for AI-generated legal documents. It rigorously checks factual accuracy, legal citations, numerical data, and source authenticity against authoritative databases. Use this when you need to perform red-teaming, fact-check, or quality-control complex legal analyses, compliance reports, or regulatory summaries before any external distribution.