prompt-optimization
Applies prompt repetition to improve accuracy for non-reasoning LLMs
发现 研究与调研 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。
Applies prompt repetition to improve accuracy for non-reasoning LLMs
Handle SLEAP GitHub support workflow for issues and discussions. Use when the user says "support", provides a GitHub issue/discussion number like "#2512", or asks to investigate a user report from talmolab/slea...
Capture and visually inspect Qt GUI widgets using screenshots. Use when asked to verify GUI rendering, test widget appearance, check layouts, or visually inspect any PySide6/Qt component. Enables Claude to "see...
Scaffolds a structured investigation in scratch/ for empirical research and documentation. Use when the user says "start an investigation" or wants to: trace code paths or data flow ("trace from X to Y", "what...
Configure light/dark/system theme handling across iOS, Android, and Web with universal CSS
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web appl...
Guidelines for creating reusable, portable UI components with native-first design, compound patterns, and accessibility
Set up react-strict-dom with Babel, PostCSS, and CSS-wrapped HTML components for universal Expo apps
Compiles comprehensive company product context from PDF documents, web research, and industry knowledge
This skill generates markdown skill templates to be later used.
Generates Anthropic Skills with complete workflow including GitHub PR creation and local download verification.
A step-by-step guide to synthesizing research from multiple sources into a coherent summary.
Generates a structured skill template based on provided specifications.
Performs comprehensive, multi-layered research on any topic with structured analysis and synthesis of information from multiple sources.
Extracts text and tables from PDF files, fills forms, and merges documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
Generates comprehensive code tutorials on LlmTornado API formatted for Medium publication with examples, explanations, and best practices.
Generates complete Anthropic SKILL packages with proper structure, documentation, and automated download verification.
This skill provides a comprehensive context extraction system for large codebases. It intelligently analyzes code structure, dependencies, and relationships to extract relevant context for understanding, debugg...
Use when seeing WebSocket errors like "Invalid frame header", "RSV1 must be clear", or "WS_ERR_UNEXPECTED_RSV_1" - covers multiple WebSocketServer conflicts, compression issues, and raw frame debugging techniqu...
Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, gi...
Continuous security vulnerability scanning for OWASP Top 10, common vulnerabilities, and insecure patterns. Use when reviewing code, before deployments, or on file changes. Scans for SQL injection, XSS, secrets...
Generate conventional commit messages automatically. Use when user runs git commit, stages changes, or asks for commit message help. Analyzes git diff to create clear, descriptive conventional commit messages....
Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on ne...
Check dependencies for known vulnerabilities using npm audit, pip-audit, etc. Use when package.json or requirements.txt changes, or before deployments. Alerts on vulnerable dependencies. Triggers on dependency...
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。