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Claude Skills by frank-luongt
github.com/frank-luongt1,201 skills8 installs1,314 views
- Prompt Engineer<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: prompt-engineer description: Expert prompt engineer specializing in advanced prompting tags: [ai, prompt-engineering] ---Votes: 0GitHub stars: 31
- Prompt Engineering PatternsMaster advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.Votes: 0GitHub stars: 31
- Prompt GuardPrompt Guard is an 86M parameter classifier that detects prompt injections and jailbreak attempts in LLM applications.Votes: 0GitHub stars: 31
- Pydantic Models PyCreate Pydantic models following the multi-model pattern for clean API contracts.Votes: 0GitHub stars: 31
- Python Development Python ScaffoldYou are a Python project architecture expert specializing in scaffolding production-ready Python applications. Generate complete project structures with modern tooling (uv, FastAPI, Django), type hints, testing setup, and configuration following current best practices.Votes: 0GitHub stars: 31
- Python PackagingComprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.Votes: 0GitHub stars: 31
- Python Patterns> Python development principles and decision-making for 2025. > **Learn to THINK, not memorize patterns.**Votes: 0GitHub stars: 31
- Python Performance OptimizationComprehensive guide to profiling, analyzing, and optimizing Python code for better performance, including CPU profiling, memory optimization, and implementation best practices.Votes: 0GitHub stars: 31
- Python Pro<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: python-pro description: Master Python 3.12+ with modern features, async programming, tags: [backend, python] --- You are a Python expert specializing in modern Python 3.12+ development with cutting-edge tools and practices from the 2024/2025 ecosystem.Votes: 0GitHub stars: 31
- Python Testing PatternsComprehensive guide to implementing robust testing strategies in Python using pytest, fixtures, mocking, parameterization, and test-driven development practices.Votes: 0GitHub stars: 31
- Pytorch Fsdp2This skill teaches a coding agent how to **add PyTorch FSDP2** to a training loop with correct initialization, sharding, mixed precision/offload configuration, and checkpointing. > FSDP2 in PyTorch is exposed primarily via `torch.distributed.fsdp.fully_shard` and the `FSDPModule` methods it adds in-place to modules. See: `references/pytorch_fully_shard_api.md`, `references/pytorch_fsdp2_tutorial.md`. ---Votes: 0GitHub stars: 31
- Pytorch Lightning<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: pytorch-lightning description: PyTorch Lightning high-level training framework. Use when building structured ML training loops with distributed training, callbacks, and logging. tags: [pytorch-lightning, distributed-training, scaling] ---Votes: 0GitHub stars: 31
- Pyvenepyvene is Stanford NLP's library for performing causal interventions on PyTorch models. It provides a declarative, dict-based framework for activation patching, causal tracing, and interchange intervention training - making intervention experiments reproducible and shareable. **GitHub**: [stanfordnlp/pyvene](https://github.com/stanfordnlp/pyvene) (840+ stars) **Paper**: [pyvene: A Library for Understanding and Improving PyTorch Models via Interventions](https://aclanthology.org/2024.naacl-dem...Votes: 0GitHub stars: 31
- Qa Test PlannerComprehensive QA engineering toolkit for creating test plans, generating manual test cases, building regression suites, validating designs, and documenting bugs.Votes: 0GitHub stars: 31
- QdrantHigh-performance vector database written in Rust for production RAG and semantic search.Votes: 0GitHub stars: 31
- Rag ImplementationMaster Retrieval-Augmented Generation (RAG) to build LLM applications that provide accurate, grounded responses using external knowledge sources.Votes: 0GitHub stars: 31
- Ray DataDistributed data processing library for ML and AI workloads.Votes: 0GitHub stars: 31
- Ray Train<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: ray-train description: Ray Train distributed training framework. Use when orchestrating distributed training across heterogeneous compute with fault tolerance. tags: [ray-train, distributed-training, scaling] ---Votes: 0GitHub stars: 31
- React Best PracticesComprehensive performance optimization guide for React and Next.js applications, maintained by Vercel. Contains 57 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.Votes: 0GitHub stars: 31
- React ComponentsYou are a frontend engineer focused on transforming designs into clean React code. You follow a modular approach and use automated tools to ensure code quality.Votes: 0GitHub stars: 31
- React Flow Node TsCreate React Flow node components following established patterns with proper TypeScript types and store integration.Votes: 0GitHub stars: 31
- React ModernizationMaster React version upgrades, class to hooks migration, concurrent features adoption, and codemods for automated transformation.Votes: 0GitHub stars: 31
- React Native ArchitectureProduction-ready patterns for React Native development with Expo, including navigation, state management, native modules, and offline-first architecture.Votes: 0GitHub stars: 31
- React State ManagementComprehensive guide to modern React state management patterns, from local component state to global stores and server state synchronization.Votes: 0GitHub stars: 31
- React Ui Patterns<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: react-ui-patterns description: React UI patterns for loading states, error handling, button states, empty states, and form submissions. Use when building UI components that handle async data, managing loading/error/empty states, or implementing optimistic updates. tags: [react, ui, state-management] ---Votes: 0GitHub stars: 31
- Reference Builder<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: reference-builder description: Creates exhaustive technical references and API documentation. tags: [documentation, reference] ---Votes: 0GitHub stars: 31
- Release NotesTransform technical changelogs, PRs, and tickets into clear, user-facing release notes that communicate **what changed and why it matters** — in language customers understand. ---Votes: 0GitHub stars: 31
- RemotionYou are a video production specialist focused on creating engaging walkthrough videos from app designs. You combine Stitch's screen retrieval capabilities with Remotion's programmatic video generation to produce smooth, professional presentations.Votes: 0GitHub stars: 31
- Requirements ClarityTransform vague requirements into actionable PRDs through systematic clarification with a 100-point scoring system.Votes: 0GitHub stars: 31
- Revenue OperationsEnd-to-end RevOps framework for pipeline analytics, revenue forecasting, quota management, and cross-functional alignment between Sales, Marketing, and Customer Success.Votes: 0GitHub stars: 31
- Risk Manager<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: risk-manager description: Monitor portfolio risk, R-multiples, and position limits. Creates tags: [business, risk] ---Votes: 0GitHub stars: 31
- Rn TestingTest React Native mobile applications using Maestro, Detox, or Appium frameworks.Votes: 0GitHub stars: 31
- Rwkv<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: rwkv description: RWKV linear-attention RNN-Transformer hybrid architecture. Use when needing efficient inference with linear time complexity for long sequences. tags: [rwkv, model-architecture, training] ---Votes: 0GitHub stars: 31
- S3 OperationsPatterns for using S3 as the document and artifact layer for AI agent workflows.Votes: 0GitHub stars: 31
- SaelensSAELens is the primary library for training and analyzing Sparse Autoencoders (SAEs) - a technique for decomposing polysemantic neural network activations into sparse, interpretable features. Based on Anthropic's groundbreaking research on monosemanticity. **GitHub**: [jbloomAus/SAELens](https://github.com/jbloomAus/SAELens) (1,100+ stars)Votes: 0GitHub stars: 31
- Saga OrchestrationPatterns for managing distributed transactions and long-running business processes.Votes: 0GitHub stars: 31
- Salesforce AgentforceBuild AI agents that connect to Salesforce CRM using Agentforce skills, the Einstein Trust Layer, Data Cloud grounding, and MuleSoft connectors.Votes: 0GitHub stars: 31
- Salesforce AutomationAutomate Salesforce CRM operations through Composio's Salesforce toolkit via Rube MCP.Votes: 0GitHub stars: 31
- Sap Ai CoreBuild AI agents that connect to SAP enterprise systems using SAP AI Core's Generative AI Hub (multi-LLM), SAP BTP integration, and the ABAP SDK for Google Cloud.Votes: 0GitHub stars: 31
- Sast ConfigurationStatic Application Security Testing (SAST) tool setup, configuration, and custom rule creation for comprehensive security scanning across multiple programming languages.Votes: 0GitHub stars: 31
- Secrets ManagementSecure secrets management practices for CI/CD pipelines using Vault, AWS Secrets Manager, and other tools.Votes: 0GitHub stars: 31
- Security Auditor<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: security-auditor description: Expert security auditor specializing in DevSecOps, comprehensive tags: [security] --- You are a security auditor specializing in DevSecOps, application security, and comprehensive cybersecurity practices.Votes: 0GitHub stars: 31
- Security Compliance Compliance CheckYou are a compliance expert specializing in regulatory requirements for software systems including GDPR, HIPAA, SOC2, PCI-DSS, and other industry standards. Perform comprehensive compliance audits and provide implementation guidance for achieving and maintaining compliance.Votes: 0GitHub stars: 31
- Security Scanning Security DependenciesYou are a security expert specializing in dependency vulnerability analysis, SBOM generation, and supply chain security. Scan project dependencies across multiple ecosystems to identify vulnerabilities, assess risks, and provide automated remediation strategies.Votes: 0GitHub stars: 31
- Security Scanning Security Hardening<!-- AUTO-GENERATED by export-skills.py — DO NOT EDIT --> --- name: security-scanning-security-hardening description: Coordinate multi-layer security scanning and hardening across application, infrastructure, and compliance controls. tags: [security] --- Implement comprehensive security hardening with defense-in-depth strategy through coordinated multi-agent orchestration: [Extended thinking: This workflow implements a defense-in-depth security strategy across all application layers. It coord...Votes: 0GitHub stars: 31
- Security Scanning Security SastStatic Application Security Testing (SAST) for comprehensive code vulnerability detection across multiple languages, frameworks, and security patterns.Votes: 0GitHub stars: 31
- Segment AnythingComprehensive guide to using Meta AI's Segment Anything Model for zero-shot image segmentation.Votes: 0GitHub stars: 31
- Sendgrid AutomationAutomate SendGrid email delivery workflows including marketing campaigns (Single Sends), contact and list management, sender identity setup, and email analytics through Composio's SendGrid toolkit.Votes: 0GitHub stars: 31
- Sentence TransformersPython framework for sentence and text embeddings using transformers.Votes: 0GitHub stars: 31
- SentencepieceUnsupervised tokenizer that works on raw text without language-specific preprocessing.Votes: 0GitHub stars: 31