Skill UI

This methodology guides developers to diagnose ambiguous failures, intermittent bugs, or performance regressions before implementing any code changes. It emphasizes separating observed symptoms from inferred causes, tracing inputs and state transitions, and ranking hypotheses based on evidence and cheap falsification value. Use this structured approach to ensure fixes are built upon a proven mechanism.

A systematic methodology for performing offensive cryptographic analysis. This skill focuses on identifying and exploiting flaws arising from the misuse of cryptographic primitives in real-world applications, rather than breaking the underlying math. Techniques covered include Padding Oracle Attacks (CBC), ECB block manipulation, Hash Length Extension, RSA weaknesses, and PRNG exploitation. Ideal for penetration testing and deep security auditing.

A comprehensive skill set for performing offensive security assessments on TLS/SSL implementations. This includes identifying cryptographic weaknesses (like POODLE, DROWN, Heartbleed), testing for protocol downgrades, analyzing weak cipher suites, and bypassing security controls such as certificate pinning and improper validation. Essential for penetration testers and security engineers to audit network service integrity.

A disciplined methodology for fixing bugs and small behavioral changes with minimal impact. It involves tracing symptoms to the narrowest responsible mechanism, implementing changes only at that layer, and adding highly focused regression proofs to ensure surrounding functionality remains intact. Ideal for critical systems requiring maximum stability.

An attorney-facing tool for conducting knockout/availability trademark searches across the United States (USPTO/TESS) and Canada (CIPO). This structured skill guides the user through collecting required intake data and analyzing search results to produce a preliminary availability memo (green/yellow/red verdict). It is designed strictly as assisted work product for licensed attorney review, not legal advice.

Generate virtual spatial transcriptomics from H&E histology tiles with DeepSpot-M, a multimodal foundation model. Predict log1p-CPM expression for ~19k protein-coding genes per 224x224 tile at 20x, with whole-slide tiling workflows.