topic-modeler
Extract topics from text collections using LDA (Latent Dirichlet Allocation) with keyword extraction and topic visualization.
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Extract topics from text collections using LDA (Latent Dirichlet Allocation) with keyword extraction and topic visualization.
Interactive claude-flow orchestration coach that guides users through swarm topology selection, agent deployment, memory configuration, and SPARC workflows. Use when learning claude-flow, choosing between swarm...
Interactive prompt engineering coach that elevates vague prompts through Socratic dialogue, multiple transformation styles, and guided learning. Use when improving prompts, learning agentic engineering, or want...
Procedures and patterns for effective internal knowledge base retrieval and step-by-step guidance answers.
This skill should be used when the user asks to "/oblique", "oblique strategy", "give me an oblique strategy", "give me a creative prompt", or wants lateral thinking inspiration for their coding session.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx file...
Analyzing user intent and delegating tasks.
Generates distinctive, high-quality frontend designs avoiding generic AI aesthetics. Use when building landing pages, UI components, dashboards, web apps, or any frontend/web design task.
Produce programmable videos with Remotion using scene planning, asset orchestration, and validation gates for automated, brand-consistent video content.
Generate high-quality images via MCP (Gemini models or compatible services) using structured prompts, ratios, and validation for marketing, UI, or presentations.
Guide for creating, managing, and using Claude Code Agent Skills. Use when the user asks about Skills, wants to create a new Skill, or needs help with SKILL.md files.
Covers RAG installation, ContextEngine API, embedding providers, store adapters, extractors, connectors, batteries, and CLI commands for the unrag TypeScript library.
Create OpenAI Agents SDK applications in TypeScript/JavaScript. Use when building AI agents, multi-agent systems, voice agents, or any agentic workflow with the OpenAI Agents SDK. Covers agents, tools, handoffs...
Automatically discover and recommend relevant Claude skills when users encounter tasks that could benefit from specialized capabilities. Use this skill proactively when detecting any of these patterns: (1) User...
使用AI驱动的浏览器自动化工具集,支持自然语言指令执行网页交互、数据提取、表单填写等任务。集成Amazon Bedrock AgentCore、Nova Act和Browser Use,提供实时浏览器视图和批量数据采集能力。
Full-text search and search engine implementation. Use when implementing search functionality, autocomplete, faceted search, relevance tuning, or working with search indexes. Keywords: search, full-text search,...
Designs and optimizes prompts for large language models including system prompts, agent signals, and few-shot examples. Covers instruction design, prompt security, chain-of-thought reasoning, and in-context lea...
Evaluates machine learning models for performance, fairness, and reliability using appropriate metrics and validation techniques. Trigger keywords: model evaluation, metrics, accuracy, precision, recall, F1, RO...
Designs RESTful APIs, GraphQL schemas, and RPC interfaces following best practices for consistency, usability, and scalability. Trigger keywords: api design, REST, RESTful, REST API, GraphQL, GraphQL schema, gR...
View and analyze Hawk evaluation results. Use when the user wants to see eval-set results, check evaluation status, list samples, view transcripts, or analyze agent behavior from a completed evaluation run.
This skill enables AI agents to generate new DHTI elixir projects from a cookiecutter template. Elixirs provide backend GenAI capabilities as HTTP endpoints hosted by LangServe. The skill guides the agent throu...
Provides a Model Context Protocol (MCP) server interface to the skills library, allowing any MCP-compliant agent (e.g. Claude Desktop) to invoke Antigravity skills as native tools.
Enables mid-stream course correction by monitoring a FEEDBACK.md file for user interventions. Allows the agent to incorporate new instructions without restarting the task.
Rapidly ingest documentation via the /llms.txt standard to gain "fast-track" understanding of libraries without scraping entire sites.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.