Skill UI

A comprehensive workflow for implementing robust LLM evaluation using Langfuse. This skill guides users through key processes including scoring traces (numeric, categorical, boolean), collecting user feedback, managing versioned prompts, creating structured datasets, running automated experiments, and implementing LLM-as-a-Judge patterns for advanced quality assurance and system benchmarking.

This skill runs the ScholarEval framework to score academic submissions across problem setting, methodology, data, analysis, writing, and references, providing structured strengths/weaknesses, numeric ratings, and guidance for visualizing the evaluation.

Guides symbolic mathematics work in Python, covering algebraic simplification, calculus, equation solving, linear algebra, physics, number theory, geometry, and code generation to deliver exact symbolic results instead of numeric approximations.

Provides a concise quantitative analysis experience for financial or research scenarios by structuring numerical data insights and interpretations.

SciPy provides open-source algorithms and utilities for scientific computing, including integration, optimization, statistics, and signal processing, enabling researchers and engineers to build reliable numerical applications.

This guide provides a comprehensive methodology for identifying and exploiting Insecure Direct Object Reference (IDOR) vulnerabilities in web applications and APIs. It teaches testers how to systematically manipulate object identifiers (such as numerical IDs, UUIDs, or slugs) within API requests and URLs. Techniques involve using advanced tools like Burp Suite's Authorize extension to test object-level access control, validating both horizontal (same privilege) and vertical (different privilege) access restrictions during authorized penetration tests or bug bounty engagements.

A specialized skill for assessing REST and GraphQL APIs against Broken Object Level Authorization (BOLA/IDOR), a critical vulnerability highlighted by OWASP API1:2023. This process involves intercepting API calls, identifying object identifiers (numeric IDs, UUIDs, slugs), and systematically substituting these IDs with those belonging to other users or tenants. It verifies whether the API server correctly enforces per-object authorization checks, mitigating risks of horizontal privilege escalation and unauthorized data access in multi-tenant environments.

This skill guides developers in writing robust and defensive Go code. It addresses common pitfalls that lead to runtime panics and silent data corruption, such as nil map writes, slice backing array aliasing, silent numeric truncation (int64 to int32), and inaccurate float comparisons. Use this when designing highly reliable Go systems that must withstand typical programmer errors and maintain data integrity.

This guide details advanced techniques for searching cricket matches by leveraging precise numerical scoring data. Instead of broad terms, users should utilize specific details—such as team totals (e.g., 168/9), runs off balls, wickets taken, or over details—combined with the match type and year to create highly targeted search queries. This method significantly improves search accuracy and efficiency when researching sports statistics.

This technique guides users to use precise chemical compound names, specific concentration values (e.g., "1.5 mg/L"), and taxonomic synonym counts as exact-match search anchors when querying biological literature. By leveraging quotation marks and combining multiple specific terms, it uniquely identifies research papers or species details, greatly improving search precision in biochemistry and botany.

This technique guides users on how to construct highly specific search queries for academic papers. Instead of relying solely on broad topic keywords, users should prioritize combining concrete numerical identifiers—such as exact sample sizes, population percentages, concentration levels, or specific year ranges—with methodological terms and discipline keywords. Using these numerical anchors significantly increases the uniqueness and precision of the search results, helping to pinpoint the exact study required.

Plan, configure, validate, and analyze bounded FluidSim CFD simulations with explicit numerical-validity checks, HPC safety, FFT/MPI setup, diagnostics, and restart compatibility.