发现 文档写作 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Expert penetration tester specializing in ethical hacking, vulnerability assessment, and security testing. Masters offensive security techniques, exploit development, and comprehensive security assessments with...
Expert competitive analyst specializing in competitor intelligence, strategic analysis, and market positioning. Masters competitive benchmarking, SWOT analysis, and strategic recommendations with focus on creat...
Convert PRDs to prd.json format for the Ralph autonomous agent system and set up project structure
Generate a Product Requirements Document (PRD) for a new feature with user stories suitable for autonomous implementation
Opinionated constraints for building better interfaces with agents.
Build production-grade Laravel REST APIs using opinionated architecture patterns with Laravel best practices. Use when building, scaffoling, or reviewing Laravel APIs with specifications for stateless design, v...
EVM blockchain operations including balance queries, transactions, token transfers, smart contract interactions, and ENS lookups. Use when working with Ethereum, Polygon, Arbitrum, Optimism, Base, BSC, Avalanch...
Autonomous long-running development from specifications. Use when user wants to build an application from a spec file, run continuous development, or automate feature implementation. Triggers on phrases like "m...
Configure Vitest for unit and integration testing. Use when setting up a test framework, when no test runner is detected, or when the user asks to configure testing.
Programmatically update marathon-ralph state file using deterministic jq commands. Use this instead of manually editing the JSON file.
Detects project type, package manager, and monorepo structure. Returns correct commands for test/build/lint/dev. Run at project initialization and cache results in state. Use before running any build/test comma...
Write Playwright E2E tests using fixtures and best practices. Use when creating E2E tests, writing browser automation tests, or testing user flows.
Configure Playwright for E2E testing. Use when setting up end-to-end tests, when no E2E framework is detected, or when the user asks to configure browser testing.
Visually verify implemented features work correctly before marking complete. Use when testing UI changes, verifying web features, or checking user flows work in the browser.
Assist with code review, refactoring, and explanations. Use when analyzing or improving code.
Perform calculations and math operations. Use for arithmetic, conversions, or formulas.
Summarize text, documents, or conversations. Use when you need a concise overview.
Parameter-efficient fine-tuning with Low-Rank Adaptation (LoRA). Use when fine-tuning large language models with limited GPU memory, creating task-specific adapters, or when you need to train multiple specializ...
Crafting effective prompts for LLMs. Use when designing prompts, improving output quality, structuring complex instructions, or debugging poor model responses.
Building and training neural networks with PyTorch. Use when implementing deep learning models, training loops, data pipelines, model optimization with torch.compile, distributed training, or deploying PyTorch...
Strategies for managing LLM context windows effectively in AI agents. Use when building agents that handle long conversations, multi-step tasks, tool orchestration, or need to maintain coherence across extended...
Understanding Reinforcement Learning from Human Feedback (RLHF) for aligning language models. Use when learning about preference data, reward modeling, policy optimization, or direct alignment algorithms like D...
Loading and using pretrained models with Hugging Face Transformers. Use when working with pretrained models from the Hub, running inference with Pipeline API, fine-tuning models with Trainer, or handling text,...
Memory-efficient fine-tuning with 4-bit quantization and LoRA adapters. Use when fine-tuning large models (7B+) on consumer GPUs, when VRAM is limited, or when standard LoRA still exceeds memory. Builds on the...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。