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Code Review & Quality
Code review, refactoring, debugging, maintainability, and engineering quality
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- Microsoft Skills .Github Plugins Azure Sdk Python Skills Azure Eventgrid PyAzure Event Grid SDK for Python. Use for publishing events, handling CloudEvents, and event-driven architectures. Triggers: "event grid", "EventGridPublisherClient", "CloudEvent", "EventGridEvent", "publish events".Votes: 0GitHub stars: 3
- Lingzhi227 Agent Research Skills Skills Paper To CodeConvert an ML research paper into a complete, runnable code repository. 3-stage pipeline from Paper2Code — Planning (UML + dependency graph) → Analysis (per-file logic) → Coding (dependency-ordered generation). Use for reproducing paper methods.Votes: 0GitHub stars: 3
- Brycewang Stanford Awesome Agent Skills For Empirical Research Skills 42 Wanshuiyin ARIS Skills Training CheckPeriodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs). Avoids wasting GPU hours on broken runs. Use when training is running and you want automated health checks.Votes: 0GitHub stars: 3
- Brycewang Stanford Awesome Agent Skills For Empirical Research Skills 15 Felpix Studios Social Science Research Skills Review RRun the R code review protocol on R scripts. Checks code quality, reproducibility, domain correctness, and professional standards. Produces a report without editing files. Make sure to use this skill whenever the user wants their existing R code evaluated or audited — not when they want new analysis written. Triggers include: "review my R script", "check my R code", "is my code replication-ready", "audit this R file", "does this code follow conventions", "will this reproduce", "check my analy...Votes: 0GitHub stars: 3
- Sytts Commands EvalEvaluates the quality and effectiveness of a synthetic multilingual voice command dataset for on-device keyword spotting. It probes whether TTS-synthesized audio can support high-accuracy classification across different model complexities and languages (English and Chinese). Use when the user wants to benchmark on SYNTTS-COMMANDS, or asks about evaluating this task. Reports classification accuracy.Votes: 0GitHub stars: 3
- Kernelbench EvalEvaluates large language models' ability to generate functionally correct and hardware-efficient CUDA kernels for PyTorch workloads. It probes the models' capacity for low-level systems programming, hardware-aware optimization, and debugging execution/functional errors under one-shot prompting. Use when the user wants to benchmark on KernelBench, or asks about evaluating this task. Reports fast_p.Votes: 0GitHub stars: 3
- Iterations Per MinuteEvaluates the computational throughput and hardware scalability of deep learning image generation models by measuring how many training iterations can be completed per minute on CPU versus GPU across varying image resolutions. Use when the user has predictions and gold and needs to compute Iterations per minute.Votes: 0GitHub stars: 3
- PeftParameter-efficient fine-tuning for LLMs using LoRA, QLoRA, and 25+ methods. Use when fine-tuning large models (7B-70B) with limited GPU memory, when you need to train <1% of parameters with minimal accuracy loss, or for multi-adapter serving. HuggingFace's official library integrated with transformers ecosystem.Votes: 0GitHub stars: 4
- HqqHalf-Quadratic Quantization for LLMs without calibration data. Use when quantizing models to 4/3/2-bit precision without needing calibration datasets, for fast quantization workflows, or when deploying with vLLM or HuggingFace Transformers.Votes: 0GitHub stars: 4
- Grpo Rl TrainingExpert guidance for GRPO/RL fine-tuning with TRL for reasoning and task-specific model trainingVotes: 0GitHub stars: 4
- DeepspeedExpert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attentionVotes: 0GitHub stars: 4
- Bio RetrosynthesisPerforms retrosynthetic planning using AiZynthFinder (MCTS, template-based), Chemformer (template-free transformer), ASKCOS, and emerging RetroSynFormer with explicit handling of route scoring, building-block availability (eMolecules, Enamine, Mcule), forward prediction validation (Molecular Transformer), and disconnection-aware multi-objective search (MO-MCTS). Use when assessing synthetic feasibility of generated or selected molecules, planning multi-step syntheses, building synthesis-aware...Votes: 0GitHub stars: 4
- Bio Sam Bam BasicsView, convert, and understand SAM/BAM/CRAM alignment files using samtools and pysam. Use when inspecting alignments, converting between formats, or understanding alignment file structure.Votes: 0GitHub stars: 4
- Rust Async PatternsMaster Rust async programming with Tokio, async traits, error handling, and concurrent patterns. Use when building async Rust applications, implementing concurrent systems, or debugging async code.Votes: 0GitHub stars: 36
- Python ExpertSenior Python developer expertise for writing clean, efficient, and well-documented code. Use when: writing Python code, optimizing Python scripts, reviewing Python code for best practices, debugging Python issues, implementing type hints, or when user mentions Python, PEP 8, or needs help with Python data structures and algorithms.Votes: 0GitHub stars: 36
- Monorepo ArchitectExpert in monorepo architecture, build systems, and dependency management at scale. Masters Nx, Turborepo, Bazel, and Lerna for efficient multi-project development. Use PROACTIVELY for monorepo setup,Votes: 0GitHub stars: 36
- Loki ModeMulti-agent autonomous startup system for Claude Code. Triggers on \"Loki Mode\". Orchestrates 100+ specialized agents across engineering, QA, DevOps, security, data/ML, business operations,...Votes: 0GitHub stars: 36
- Systematic DebuggingUse when encountering any bug, test failure, or unexpected behavior, before proposing fixesVotes: 0GitHub stars: 36
- Git Pr Workflows OnboardYou are an **expert onboarding specialist and knowledge transfer architect** with deep experience in remote-first organizations, technical team integration, and accelerated learning methodologies. YouVotes: 0GitHub stars: 36
- Git Advanced WorkflowsMaster advanced Git workflows including rebasing, cherry-picking, bisect, worktrees, and reflog to maintain clean history and recover from any situation. Use when managing complex Git histories, co...Votes: 0GitHub stars: 36
- Debugger'Debugging specialist for errors, test failures, and unexpectedVotes: 0GitHub stars: 36
- Create PrCreate pull requests following Sentry conventions. Use when opening PRs, writing PR descriptions, or preparing changes for review. Follows Sentry's code review guidelines.Votes: 0GitHub stars: 36
- Clean CodeApplies principles from Robert C. Martin's 'Clean Code'. Use this skill when writing, reviewing, or refactoring code to ensure high quality, readability, and maintainability. Covers naming, functio...Votes: 0GitHub stars: 36
- ArchitectureArchitectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.Votes: 0GitHub stars: 36