Skill UI

Scans Cairo/StarkNet smart contracts for six critical issues spanning felt252 arithmetic, messaging, access control, and signature replay, reporting severity and fixes to support audits, bridge reviews, and pre-launch security checks.

A comprehensive guide detailing security patterns and audit checklists for Automated Market Maker (AMM) smart contracts in DeFi. Covers critical vulnerabilities such as flash loans, slippage, reentrancy attacks, price manipulation, and integer overflow/underflow. Essential for reviewing major DeFi protocols like Uniswap.

Provides technology-agnostic guidance for architecting and reviewing modular systems. This skill covers core architectural principles such as bounded contexts, state isolation, explicit contracts, and failure containment. Use it when determining service boundaries, assessing coupling between domains, or designing new greenfield architectures without assuming a specific framework, language, or repository structure.

This skill helps healthcare organizations optimize their Abridge AI spending. It provides structured analysis across provider utilization, session waste detection, and ROI calculation. Use it when reviewing complex billing statements, optimizing contract tiers, or ensuring maximum return on investment for AI adoption.

This advanced skill orchestrates a comprehensive, multi-agent review of legal contracts. It analyzes risk, compliance, missing protections, and plain-English readability simultaneously. By simulating a team of legal specialists, it aggregates findings into a single executive report, complete with a quantifiable Contract Safety Score (0-100). Ideal for founders, freelancers, or small businesses needing expert legal insights without retaining full-time counsel.

This specialized skill reviews contracts from a freelancer's perspective. It evaluates agreements using 14 detailed lenses—covering misclassification risk, IP ownership, payment terms, and non-compete clauses—to flag structural imbalances that often favor the client. It helps independent contractors understand potential legal and financial risks within client agreements.

This skill analyzes complex legal contracts and agreements, identifying unfavorable, high-risk, or one-sided clauses regarding liability, IP, or termination. It generates a structured negotiation strategy document, providing prioritized counter-proposals, recommended replacement language, and professional talking points to guide users through high-stakes contract reviews before signing.

This tool assists engineers in transforming vague work logs into structured, evidence-backed impact statements for professional documentation. It uniquely mines Copilot CLI session logs, git commits, and GitHub PRs to reconstruct forgotten work. It enforces a mandatory 'Action → Result → Evidence' impact contract, making it indispensable for preparing performance reviews, promotion packets, and self-assessments.

A comprehensive simulation of a General Counsel's (GC) review process. It interrogates contracts, term sheets, and agreements across critical legal domains: IP ownership, liability caps, data privacy (GDPR/CCPA), regulatory compliance (HIPAA/FDA), and employment structure. Use this before signing major agreements or entering new markets to identify hidden legal and operational risks.

This tool provides strategic legal guidance for founders and startup executives, covering critical areas like contract risk review (MSA, NDA, DPA), intellectual property strategy, term sheet decoding, and global regulatory compliance (GDPR, HIPAA, etc.). It surfaces key questions and potential traps to ensure thorough review before legal commitment. NOTE: This is not a substitute for licensed attorney advice.

This skill provides comprehensive deal-desk support by performing quantitative scoring and risk assessment for commercial deals. It scores deals across margin, risk, and strategic value, routes discount requests to the correct human approver chain (e.g., Director, CFO, Legal), and flags contract landmines (e.g., uncapped indemnity, MFN) in redlined MSAs. It never auto-approves; every output is a score and a recommendation for a named human sign-off.

This meta-skill automates the complex process of modernizing legacy PDF documents (e.g., historical contracts, scanned manuals, legal documents). It follows a structured four-step pipeline: structural extraction, natural-language rewriting of problem pages, generating an audit summary, and finally re-merging the content into a single, refined PDF. This ensures content is modernized while maintaining fidelity to the original meaning, providing a human review summary before finalization.