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path-tracing-reverse
Guidance for reverse engineering graphics rendering programs (ray tracers, path tracers) from binary executables. This skill should be used when tasked with recreating a program that generates images through ray/path tracing, particularly when the goal is to achieve pixel-perfect or near-pixel-perfect output matching. Applies to tasks requiring binary analysis, floating-point constant extraction, and systematic algorithm reconstruction.
memory-management-optimization
Debug memory leaks, profile memory usage, optimize allocations. Use when heap grows unexpectedly, OOM errors occur, or profiling shows memory bottleneck. Covers C++ (Valgrind, ASAN, RAII), Python (tracemalloc, objgraph), and general patterns.
quality-assurance
Comprehensive testing and validation strategies for spec-driven development. Learn phase-specific validation techniques, quality gates, and testing approaches to ensure high-quality implementation.
troubleshooting
Diagnose and resolve common issues during spec-driven development and implementation. Learn strategies for handling spec-reality divergence, dependency blocks, unclear requirements, and other execution challenges.
Git
This Git skill provides best practices and workflow guidance for version control operations including commits, branches, merges, and rebasing, with a focus on conventional commit formats and explaining the 'why' behind changes.
EmacsLisp
This skill provides expert guidance for Emacs Lisp development, covering modern configuration, package creation, testing, linting, and publishing to repositories like MELPA, following 2025 best practices and tooling.
UsingGitWorktrees
This skill creates isolated git worktrees for parallel development, automatically selecting directories and verifying safety to prevent accidental commits, enabling work on multiple branches simultaneously without switching.
TODOs
This skill manages TODO lists using org-mode files, allowing users to add, view, update, and organize tasks with priorities, scheduling, and structured workflows for both work and personal projects.
llm-inference-batching-scheduler
Guidance for optimizing LLM inference request batching and scheduling problems. This skill applies when designing batch schedulers that minimize cost while meeting latency and padding constraints, involving trade-offs between batch count, shape selection, and padding ratios. Use when the task involves grouping requests by sequence lengths, managing shape compilation costs, or optimizing multi-objective scheduling with hard constraints.
python-coder
Modern Python 3.12+ development with uv, ruff, pydantic, FastAPI, async patterns, and production-ready practices.
setup-env
When given a Python project codebase, this skill helps the agent to set up virtual environments, install dependencies, and run scripts.
regression-models
Bayesian regression models including linear, logistic, Poisson, negative binomial, and robust regression with Stan and JAGS implementations.
optimizing-queries
Analyzes and optimizes SQL/NoSQL queries for performance. Use when reviewing query performance, optimizing slow queries, analyzing EXPLAIN output, suggesting indexes, identifying N+1 problems, recommending query rewrites, or improving database access patterns. Supports PostgreSQL, MySQL, SQLite, MongoDB, Redis, DynamoDB, and Elasticsearch.
chess-best-move
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.
binary-analysis
Analyze binary files (exe, dll, sys, bin, ocx, scr, cpl, drv) to assess if they are malicious, perform decompilation, extract strings/imports/exports, detect malware, and provide threat assessment. Use this skill when user asks to analyze, examine, check, or assess any binary file, asks if a file is malicious/suspicious/safe, or provides a file path to a binary. Trigger for phrases like "Is [file] malicious?", "Analyze [file]", "What does [binary] do?", or any request involving binary file analysis.
mcmc-sampling-stan
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.
python-env
Fast Python environment management with uv (10-100x faster than pip). Triggers on: uv, venv, pip, pyproject, python environment, install package, dependencies.
bio-fasta
Read/write FASTA, GenBank, FASTQ files. Sequence manipulation (complement, translate). Indexed random access via faidx. For NGS pipelines (SAM/BAM/VCF), use pysam. For BLAST, use gget or blat-integration.
polyglot-integration
Integrate multiple programming languages using FFI, native bindings, gRPC, or language bridges. Use when combining strengths of different languages or integrating legacy systems.
background-process-get-server-status
To check if the Background Process Manager is running, get the server status and confirm it is available.
hibernate-upgrade
Migrate Hibernate 5 to Hibernate 6 with Spring Boot 3. Use when fixing HQL/JPQL query parsing issues, removing deprecated Criteria API, updating ID generation strategies, or diagnosing N+1 query behavior changes. Covers breaking changes, type mappings, and performance monitoring.
azure-bgp
Analyze and resolve BGP oscillation and BGP route leaks in Azure Virtual WAN–style hub-and-spoke topologies (and similar cloud-managed BGP environments). Detect preference cycles, identify valley-free violations, and propose allowed policy-level mitigations while rejecting prohibited fixes.
kalshi-prediction-market
Imported from https://github.com/ratacat/claude-skills.
skill-creator
This skill provides guidance for creating effective Claude skills, offering principles and structure for extending Claude's capabilities with specialized workflows, tool integrations, and domain expertise.