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Guidance for solving ARC-AGI style pattern recognition tasks that involve git operations (fetching bundles, merging branches) and implementing algorithmic transformations. This skill applies when tasks require merging git branches containing different implementations of pattern-based algorithms, analyzing input-output examples to discover transformation rules, and implementing correct solutions. (project)

This skill monitors PR CI checks by polling GitHub status until completion or timeout. Use when the user requests to check CI status, wait for CI to pass, monitor PR checks, or verify build status. Applicable for queries like "check my CI", "wait for CI to pass", "is my PR green", or "monitor CI checks".

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.

Guide for debugging and fixing bugs in the OCaml garbage collector, particularly memory management issues in the runtime's sweeping and allocation code. This skill applies when working on OCaml runtime C code, investigating segfaults in GC operations, or fixing pointer arithmetic bugs in memory managers with size-classed pools and run-length encoding.

Guidance for optimizing numerical linear algebra computations, particularly finding eigenvalues of small dense matrices faster than standard library implementations. This skill applies when the task involves performance optimization of matrix operations, beating numpy/scipy performance baselines, or writing high-performance numerical code with Cython/LAPACK.

Guidance for implementing high-performance portfolio optimization using Python C extensions. This skill applies when tasks require optimizing financial computations (matrix operations, covariance calculations, portfolio risk metrics) by implementing C extensions for Python. Use when performance speedup requirements exist (e.g., 1.2x or greater) and the task involves numerical computations on large datasets (thousands of assets).

Your guide to the marketing toolkit. Diagnoses where you are in your marketing journey and recommends the right skills, agents, and workflows to use next.

Guidance for configuring Nginx web servers with custom logging, rate limiting, and static content serving. This skill should be used when tasks involve setting up Nginx server blocks, configuring custom log formats, implementing rate limiting, or serving static files on specific ports.

Guidance for data resharding tasks that involve reorganizing files across directory structures with constraints on file sizes and directory contents. This skill applies when redistributing datasets, splitting large files, or reorganizing data into shards while maintaining constraints like maximum files per directory or maximum file sizes. Use when tasks involve resharding, data partitioning, or directory-constrained file reorganization.

Guidance for building pMARS (portable Memory Array Redcode Simulator) from source. This skill should be used when tasked with compiling pMARS, building Core War simulators from source packages, or creating headless/non-X11 builds of legacy C software from Debian source packages.

Guidance for setting up Git-based multi-branch deployment systems with SSH access, web servers, and automated deployment hooks. This skill should be used when configuring Git repositories that deploy to multiple environments (e.g., main/dev branches), setting up SSH authentication for Git, configuring web servers to serve content from different branches, or creating post-receive hooks for automated deployments.

Guide for building pMARS (Portable Memory Array Redcode Simulator) and similar software from Debian/Ubuntu source packages. Use this skill when tasks involve enabling source repositories, downloading distribution source packages, removing X11/GUI dependencies, modifying Makefiles, diagnosing segmentation faults, and building headless versions of applications. Applies to Core War simulators and similar legacy software with optional graphics support.

Guide for debugging and fixing bugs in the OCaml garbage collector runtime, particularly issues in memory management code like sweeping, pool management, and run-length compression. This skill should be used when encountering segfaults during OCaml bootstrap, debugging crashes in runtime/shared_heap.c or similar GC code, or investigating pointer arithmetic bugs in memory allocator implementations.

Guide for analyzing chess board images to find the best move(s). This skill should be used when tasks involve analyzing chess positions from images, detecting piece positions, identifying winning moves, or solving chess puzzles. Applies to tasks requiring image-based chess board analysis and move calculation.

Guidance for extracting weight matrices from black-box ReLU neural networks using only input-output queries. This skill applies when tasks involve model extraction attacks, recovering hidden layer weights from neural networks, or reverse-engineering ReLU network parameters from query access.

Guide for reverse-engineering and recreating programmatically-generated ray-traced images. This skill should be used when tasks involve analyzing a target image to determine rendering parameters, implementing path tracing or ray tracing algorithms, matching scene geometry and lighting, or achieving high similarity scores between generated and target images.

Guide for analyzing chess positions from images and determining optimal moves. This skill should be used when asked to find the best move, checkmate, or tactical solution from a chess board image. It provides structured approaches for image-based chess analysis, piece detection calibration, position validation, and move verification.

This skill guides configuring Litestream for continuous SQLite backup in Rails 8+ apps. Use when setting up production backups for SQLite databases (Solid Queue, Solid Cache, Solid Cable).

Guidance for designing fusion protein gBlock sequences from multiple protein sources. This skill applies when tasks involve combining proteins from PDB databases, plasmid files, and fluorescent protein databases into a single optimized DNA sequence with specific linkers and codon optimization requirements.

This skill guides writing of new Ruby code following modern Ruby 3.x syntax, Sandi Metz's 4 Rules for Developers, and idiomatic Ruby best practices. Use when creating new Ruby files, writing Ruby methods, or refactoring Ruby code to ensure adherence to clarity, simplicity, and maintainability standards.