llm-ai
6
dev-swarm-mcp-server
Add and manage Model Context Protocol (MCP) servers for AI agents, including transports, scopes, and config files. Use when extending agent capabilities with new tools or data sources.
X-School-Academy
data-ai
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llm-ai
6
ai-sdk-ui
Frontend React hooks for AI-powered chat interfaces, completions, and streaming UIs with Vercel AI SDK v5. Includes useChat, useCompletion, and useObject hooks for building interactive AI applications. Use when: building React chat interfaces, implementing AI completions in UI, streaming AI responses to frontend, handling chat message state, building Next.js AI apps, managing file attachments with AI, or encountering errors like "useChat failed to parse stream", "useChat no response", unclosed streams, or streaming issues. Keywords: ai sdk ui, useChat hook, useCompletion hook, useObject hook, react ai chat, ai chat interface, streaming ai ui, nextjs ai chat, vercel ai ui, react streaming, ai sdk react, chat message state, ai file attachments, message persistence, useChat error, streaming failed ui, parse stream error, useChat no response, react ai hooks, nextjs app router ai, nextjs pages router ai
jackspace
data-ai
llm-ai
6
rag-architect
Usa esta skill para diseñar y modificar el pipeline de RAG, incluyendo LangGraph, retrieval híbrido, GraphRAG y prompts de LLM.
Vasallo94
data-ai
llm-ai
6
rag-implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
rmyndharis
data-ai
llm-ai
6
knowledge-graph-builder
Design and build knowledge graphs. Use when modeling complex relationships, building semantic search, or creating knowledge bases. Covers schema design, entity relationships, and graph database selection.
daffy0208
data-ai
llm-ai
6
multi-query
Use when search queries need better recall through query expansion - generates multiple query variants, retrieves with each, and fuses results using RRF for improved retrieval quality especially with ambiguous or under-specified queries
juanre
data-ai
llm-ai
6
ai-engineer
Build production-ready LLM applications, advanced RAG systems, and intelligent agents. Implements vector search, multimodal AI, agent orchestration, and enterprise AI integrations. Use PROACTIVELY for LLM features, chatbots, AI agents, or AI-powered applications.
rmyndharis
data-ai
llm-ai
6
mcp-server-builder
Builds Model Context Protocol (MCP) servers for Claude with tools, resources, and prompts. Use when users request "create MCP server", "build Claude tool", "MCP integration", or "custom Claude tools".
patricio0312rev
data-ai
llm-ai
6
llm-debugger
Diagnoses LLM output failures including hallucinations, constraint violations, format errors, and reasoning issues. Provides root cause classification, prompt fixes, tool improvements, and new test cases. Use for "debugging AI", "fixing prompts", "quality issues", or "output errors".
patricio0312rev
data-ai
llm-ai
5
unstructured-pdf-generation
Generate synthetic PDF documents for RAG and unstructured data use cases. Use when creating test PDFs, demo documents, or evaluation datasets for retrieval systems.
databricks-solutions
data-ai
llm-ai
5
stakeholder-management-expert
Public and Indigenous consultation, stakeholder feedback analysis, response strategy. Categorizes themes, performs sentiment analysis (support/opposition/neutral), generates prioritized response strategies, tracks commitments. Use for public meetings, consultation summaries, community engagement
reggiechan74
data-ai
llm-ai
5
ux-decisions
AI skill for the Making UX Decisions framework (uxdecisions.com) by Tommy Geoco. Use for UI/UX design decisions, design audits, pattern selection, visual hierarchy analysis, and reviewing designs for completeness. Enables rapid, intentional interface design with checklists for visual style, accessibility, social proof, navigation, and more.
clawdbot
data-ai
llm-ai
5
claudecraft
Spec-driven development workflow skill. Auto-loads when working on: - Specification creation or editing - Technical planning - Task decomposition - Implementation within ClaudeCraft context
ivo-toby
data-ai
llm-ai
5
ai-native-development
AI Native development methodology for building Enterprise-grade systems rapidly. Covers 10-day development patterns, document-first design, and AI collaboration workflows. Triggers: AI native, 10-day, enterprise development, 엔터프라이즈, AI協業, AI协作
popup-studio-ai
data-ai
llm-ai
5
skill-creator
スキルを作成・更新・プロンプト改善するためのメタスキル。 **collaborative**モードでユーザーと対話しながら共創し、 抽象的なアイデアから具体的な実装まで柔軟に対応する。 **orchestrate**モードでタスクの実行エンジン（Claude Code / Codex / 連携）を選択。 Anchors: • Continuous Delivery (Jez Humble) / 適用: 自動化パイプライン / 目的: 決定論的実行 • The Lean Startup (Eric Ries) / 適用: Build-Measure-Learn / 目的: 反復改善 • Domain-Driven Design (Eric Evans) / 適用: ユビキタス言語 / 目的: 一貫した語彙 • Design Thinking (IDEO) / 適用: ユーザー中心設計 / 目的: 共感と共創 • Microservices Patterns (Richardson) / 適用: サービス委譲 / 目的: 疎結合な連携 Trigger: 新規スキルの作成、既存スキルの更新、プロンプト改善を行う場合に使用。 スキル作成, スキル更新, プロンプト改善, skill creation, skill update, improve prompt, Codexに任せて, assign codex, Codexで実行, GPTに依頼, 実行モード選択, どのAIを使う
daishiman
data-ai
llm-ai
5
claudecraft
Spec-driven development workflow skill. Auto-loads when working on: - Specification creation or editing - Technical planning - Task decomposition - Implementation within ClaudeCraft context
ivo-toby
data-ai
llm-ai
5
veo3-image-prompt
Analyzes images and generates optimized prompts for Google's Veo 3.1 video generation model. Use when users provide an image and want to animate it or create a video prompt from it. Applies Veo 3.1's five-part formula (Cinematography + Subject + Action + Context + Style & Ambiance) and best practices from the official prompting guide.
the-ai-engineer
data-ai
llm-ai
5
prompt-enhancer
Prompt engineering and optimization for AI/LLMs. Capabilities: transform unclear prompts, reduce token usage, improve structure, add constraints, optimize for specific models, backward-compatible rewrites. Actions: improve, enhance, optimize, refactor, compress prompts. Keywords: prompt engineering, prompt optimization, token efficiency, LLM prompt, AI prompt, clarity, structure, system prompt, user prompt, few-shot, chain-of-thought, instruction tuning, prompt compression, token reduction, prompt rewrite, semantic preservation. Use when: improving unclear prompts, reducing token consumption, optimizing LLM outputs, restructuring verbose requests, creating system prompts, enhancing prompt clarity.
samhvw8
data-ai
llm-ai
5
gen-alpha-output-style
This skill provides the Gen Alpha/brainrot output style transformation rules and vocabulary. It is automatically loaded by the SessionStart hook to transform all Claude responses into Gen Alpha internet slang. Contains comprehensive glossary, transformation patterns, and examples.
sjnims
data-ai
llm-ai
5
audio-gen
Generate audiobooks, podcasts, or educational audio content on demand. User provides an idea or topic, Claude AI writes a script, and ElevenLabs converts it to high-quality audio. Supports multiple formats (audiobook, podcast, educational), custom lengths, and voice effects. Use when asked to create audio content, make a podcast, generate an audiobook, or produce educational audio. Returns MP3 audio file via MEDIA token.
clawdbot
data-ai
llm-ai
5
suno-music
Create songs for Suno AI music generation. Use when the user wants to create a song, write lyrics, or make music. Outputs a 300-character style description and tagged lyrics formatted for Suno.
fltman
data-ai
llm-ai
5
parakeet-stt
Local speech-to-text with NVIDIA Parakeet TDT 0.6B v3 (ONNX on CPU). 30x faster than Whisper, 25 languages, auto-detection, OpenAI-compatible API. Use when transcribing audio files, converting speech to text, or processing voice recordings locally without cloud APIs.
clawdbot
data-ai