Load Parzival cross-session memory from Qdrant
원문 언어: 영어
메뉴
이 저장소의 skills
SkillsMP는 majiayu000/claude-skill-registry에서 5,417개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
majiayu000/claude-skill-registry수집된 skill 5,417개 중 40개를 표시합니다.
Load Parzival cross-session memory from Qdrant
원문 언어: 영어
Load Parzival behavioral constraints as context reminder
원문 언어: 영어
Purge old memories from Qdrant collections with safety guards
원문 언어: 판별 불가
Manually re-evaluate freshness for code-patterns memories
원문 언어: 영어
Manually save current session to memory
원문 언어: 영어
Search memory system with advanced filtering and intent detection
원문 언어: 영어
AIN SOPH: The Limitless Brain. Master cognitive architecture unifying ain_brain (Penrose tiling engine), all reasoning skills (105+), gremlin ecosystem, Nexus graph, and theory tiers into one holographic system. Load THIS to load EVERYTHING.
원문 언어: 영어
Research latest AI code agent models via web and update models_*.json configuration files.
원문 언어: 영어
Analyze text sentiment using FinBERT or LLM. Use when the user needs to determine the sentiment (positive/negative/neutral) and score of financial texts.
원문 언어: 영어
Generate images using Antigravity AI image generation models.
원문 언어: 영어
Official Anthropic SDK patterns for TypeScript/Node.js — client setup, Messages API, streaming, tool use, vision, extended thinking, structured outputs, prompt caching, batch API, and production best practices
원문 언어: 영어
Image understanding and document analysis with Claude's multimodal capabilities -- image input formats, PDF processing, multi-image patterns, structured extraction, and token cost estimation
원문 언어: 영어
Official Cohere TypeScript SDK patterns -- CohereClientV2, chat, embeddings, rerank, RAG with citations, tool use, streaming, and model selection
원문 언어: 영어
ElevenLabs voice AI SDK patterns for TypeScript/Node.js -- text-to-speech, streaming, voice cloning, speech-to-speech, pronunciation control, and conversational AI
원문 언어: 영어
LangChain.js patterns for building LLM applications — chat models, LCEL chains, prompt templates, structured output, agents, tools, RAG, streaming, and LangSmith tracing
원문 언어: 영어
LLM observability with Langfuse — OpenTelemetry-based tracing, evaluations, prompt management, datasets, and production best practices
원문 언어: 영어
LiteLLM proxy server setup, TypeScript client patterns via OpenAI SDK, model routing, fallbacks, load balancing, spend tracking, virtual keys, and production deployment
원문 언어: 영어
LlamaIndex.TS data framework for RAG, indexing, retrieval, query engines, chat engines, and agentic workflows in TypeScript
원문 언어: 영어
Official Mistral AI TypeScript SDK patterns — client setup, chat completions, streaming, function calling, structured outputs, embeddings, vision, Codestral FIM, and production best practices
원문 언어: 영어
Serverless GPU compute platform for AI model deployment — web endpoints, GPU functions, model serving, and TypeScript client patterns
원문 언어: 영어
Local LLM inference with the Ollama JavaScript client -- chat, streaming, tool calling, vision, embeddings, structured output, model management, and OpenAI-compatible endpoint
원문 언어: 영어
Official OpenAI SDK patterns for TypeScript/Node.js — client setup, Chat Completions, Responses API, streaming, structured outputs, function calling, embeddings, vision, audio, and production best practices
원문 언어: 영어
Speech-to-text transcription and translation via OpenAI Audio API -- models, response formats, timestamps, prompting, streaming, chunking, and diarization
원문 언어: 영어
Testing and evaluation framework for LLM prompts and applications -- promptfooconfig.yaml, assertions, model-graded evals, red teaming, CI/CD integration, custom providers, and comparative evaluation
원문 언어: 영어
Replicate SDK patterns for TypeScript/Node.js -- client setup, predictions, streaming, webhooks, file handling, model versioning, deployments, and training
원문 언어: 영어
Together AI SDK patterns for TypeScript — client setup, chat completions, streaming, structured output, function calling, embeddings, image generation, fine-tuning, and OpenAI-compatible endpoints
원문 언어: 영어
Vercel AI SDK patterns - providers, text generation, streaming, structured output, tool calling, chat UI hooks, embeddings, and RAG
원문 언어: 영어
Applies user feedback to prompts with precision - incorporates feedback intent without over-fitting, maintains information density, prevents regressions. Use when asked to apply feedback, incorporate suggestions, or update a prompt based on user input.
원문 언어: 영어
INVOKE THIS SKILL when adding Arize AX tracing to an application. Follow the Agent-Assisted Tracing two-phase flow: analyze the codebase (read-only), then implement instrumentation after user confirmation. When the app uses LLM tool/function calling, add…
원문 언어: 영어
INVOKE THIS SKILL when optimizing, improving, or debugging LLM prompts using production trace data, evaluations, and annotations. Covers extracting prompts from spans, gathering performance signal, and running a data-driven optimization loop using the ax CLI.
원문 언어: 영어
Search arXiv for papers and extract knowledge into memory. Use `search` to find papers, `learn` to extract knowledge.
원문 언어: 영어
Use external AI assistants (ChatGPT, Claude, Gemini, DeepSeek) when agent encounters difficult problems. Trigger when: (1) User explicitly asks to consult AI, (2) Agent cannot solve the problem independently, (3) Knowledge gaps or needing deeper explanations,…
원문 언어: 영어
Async via ask, end turn immediately; use when user explicitly delegates to any AI provider (gemini/codex/opencode/droid); NOT for questions about the providers themselves.
원문 언어: 영어
Send via ask, end turn immediately; use when user explicitly delegates to any AI provider (gemini/codex/opencode/droid); NOT for questions about the providers themselves.
원문 언어: 영어
Async via ask, end turn immediately; use when user explicitly delegates to any AI provider (gemini/codex/opencode/droid); NOT for questions about the providers themselves.
원문 언어: 영어
Send the user's request to specified AI provider asynchronously
원문 언어: 영어
Expert guidance and advice from Oracle. Use when: - User has a question about best practices - User needs architectural guidance - User asks "what should I", "how should I", "advice on" - Need expert opinion on an approach - User is uncertain about a decision
원문 언어: 영어
Draft a technical research question and send to ChatGPT for investigation
원문 언어: 영어
Answer questions without changing code
원문 언어: 영어
Implement speech-to-text (ASR/automatic speech recognition) capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to transcribe audio files, convert speech to text, build voice input features, or process audio recordings. Supports base64…
원문 언어: 영어