Guidance for optimizing MuJoCo MJCF model files for simulation performance while maintaining numerical accuracy. This skill should be used when tuning physics simulation parameters, optimizing MuJoCo XML configurations, or balancing speed vs accuracy tradeoffs in robotics simulations.
This skill provides guidance for Raman spectrum peak fitting tasks. It should be used when analyzing spectroscopic data, fitting Lorentzian or Gaussian peaks to Raman spectra, or working with graphene/carbon material characterization. The skill emphasizes critical data parsing verification, physical constraints from domain knowledge, and systematic debugging of curve fitting problems.
Guidance for constructing complex regular expressions that extract and validate data from log files. This skill applies when building regex patterns to parse log entries with requirements like IP address validation, date extraction, boundary conditions, and selecting specific occurrences (first/last). Use this skill when the task involves creating regex for log parsing with multiple validation constraints.
This skill provides guidance for optimizing MuJoCo MJCF simulation files to improve performance while maintaining physics accuracy. Use this skill when tuning simulation parameters, reducing computation time, or balancing speed vs. accuracy trade-offs in MuJoCo models.
Guidance for implementing Adaptive Rejection Sampling (ARS) algorithms. This skill should be used when implementing rejection sampling methods, log-concave distribution samplers, or statistical sampling algorithms that require envelope construction and adaptive updates. It provides procedural approaches, performance considerations, and verification strategies specific to ARS implementations.
Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets. This skill should be used when tasks involve constructing probability distributions with exact numerical properties, optimization over high-dimensional probability spaces, or satisfying multiple simultaneous statistical constraints within tight tolerances.
This skill provides guidance for cracking 7z archive password hashes. It should be used when tasked with recovering passwords from 7z encrypted archives, extracting and cracking 7z hashes, or working with password-protected 7z files in CTF challenges, security testing, or authorized recovery scenarios.
Guide for performing Markov Chain Monte Carlo (MCMC) sampling using RStan or PyStan. This skill should be used when implementing Bayesian statistical models, fitting hierarchical models, working with Stan modeling language, or running MCMC diagnostics. Applies to tasks involving posterior sampling, Bayesian inference, and probabilistic programming with Stan.
This skill provides guidance for cracking 7z archive password hashes. It should be used when tasks involve extracting hashes from password-protected 7z archives, selecting appropriate cracking tools, and recovering passwords through dictionary or brute-force attacks. Applicable to password recovery, security testing, and CTF challenges involving encrypted 7z files.
Guidance for implementing adaptive rejection sampling (ARS) algorithms for generating random samples from log-concave probability distributions. This skill should be used when tasks involve implementing ARS, rejection sampling, or Monte Carlo methods that require sampling from custom probability distributions, particularly in R or other statistical computing languages.
Digital forensic skill for recovering passwords and sensitive data from disk images, deleted files, and binary data. This skill should be used when tasks involve extracting passwords from disk images, recovering deleted file contents, analyzing binary files for fragments, or forensic data recovery scenarios. Applies to tasks mentioning disk images, deleted files, password fragments, or data recovery.
Guidance for Bayesian MCMC sampling tasks using RStan. This skill applies when implementing hierarchical Bayesian models, configuring Stan/RStan for MCMC inference, or working with posterior distributions. Use for tasks involving Stan model specification, RStan installation, MCMC diagnostics, and Bayesian hierarchical modeling.
Guidance for finding probability distributions that satisfy specific statistical constraints such as KL divergence targets, entropy requirements, or moment conditions. This skill should be used when tasks involve constructing discrete or continuous probability distributions with specified divergence measures, entropy values, or other distributional properties through numerical optimization.
Acts as a strict but helpful senior engineer, reviewing code for architectural soundness, maintainability, and SOLID principles.
Detects code smells, anti-patterns, and debugging issues. Use when: fixing bugs, reviewing code quality, or refactoring.
Applies coding standards for clean, maintainable code. Use when: writing functions, handling errors, refactoring, or reviewing code style.
A skill that helps review code for best practices, bugs, and security issues
Guidance for identifying and fixing security vulnerabilities in code. This skill should be used when tasks involve fixing CWE-classified vulnerabilities, addressing security flaws, patching injection vulnerabilities, or responding to security-related test failures.
Guides the creation of self-signed SSL/TLS certificates using OpenSSL, including key generation, certificate creation, combined PEM files, and verification scripts. This skill should be used when tasks involve generating self-signed certificates, creating SSL certificate infrastructure, or writing certificate verification scripts.
Guidance for identifying and fixing security vulnerabilities in code. This skill should be used when asked to fix security issues, address CVEs or CWEs, remediate vulnerabilities like injection attacks (SQL, command, CRLF, XSS), or when working with failing security-related tests.
