natural-language-postgres
Chat app that lets you ask questions in plain English and query your PostgreSQL database.
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Chat app that lets you ask questions in plain English and query your PostgreSQL database.
Create an instant AI SDR (Sales Development Representative) agent for any website using HeyGen LiveAvatar. Use this when the user wants to create an AI sales rep, AI SDR, or AI avatar that can talk ab…
A skill to analyze past Claude Code session records to extract insights. Used for '히스토리 분석', '세션 분석', '내 작업 패턴 분석', 'history insight', /history-insight requests.
Conduct machine learning experiments from planning through evaluation and report writing. Use when running ML experiments, testing hypotheses, training models, or writing up results. Covers single-hyp…
Implement a manual approval workflow in Deep Agents, using the interruptOn parameter to manually intervene in sensitive tool operations.
A guide to integrating chat models in LangChain, including OpenAI, Anthropic, Google, Azure, and Bedrock
Stream real-time updates from LangGraph: Streaming modes (values, updates, messages, custom, debug) for reactive UX
Use when "DSPy", "declarative prompting", "automatic prompt optimization", "Stanford NLP", or asking about "optimizing prompts", "prompt compilation", "modular LLM programming", "chain of thought", "f…
AI agent with retrieval tool for document Q&A using RAG and LangGraph.
AI Native Camp Day 5 content digestion skill creation. Create and utilize three skills: fetch-tweet, fetch-youtube, and content-digest. Use for requests related to 'Day 5', 'fetch', 'content skill', '…
A skill that, upon receiving a YouTube URL, extracts subtitles, automatically corrects subtitle errors using web search, and then provides a summary-insights-full translation. Used for requests like '…
Ingest YouTube videos into the vault. Triggers when user pastes a YouTube URL (youtube.com/watch or youtu.be). Fetches transcript, creates transcript note and summary note. User may provide additional…
Understanding the Deep Agents framework - what they are, how to create them using createDeepAgent, and the agent harness architecture, including built-in planning, file system, and sub-agent middlewar…
A guide to integrating embedding models in LangChain, including OpenAI, Azure, and local embeddings
Optimize your Omni Analytics model for Blobby, Omni's AI assistant — configure ai_context, ai_fields, sample_queries, and create AI-specific topic extensions. Use this skill whenever someone wants to …
Use when "training LLM", "finetuning", "RLHF", "distributed training", "DeepSpeed", "Accelerate", "PyTorch Lightning", "Ray Train", "TRL", "Unsloth", "LoRA training", "flash attention", "gradient chec…
Reading and analysis of public Telegram channels. Upload before working with readTelegramChannel: channel analysis, channel comparison, content search, overview of the latest posts.
A skill that, when given an X/Twitter URL, fetches the original tweet and provides a summary-insight-full translation. Used for 'tweet translation', 'fetch tweet', 'X post' requests.
This skill should be used when the user needs to build AI-native products with agency-control tradeoffs, calibration loops, and eval strategies. Use when building AI agents, LLM features, or products …
Plan and implement Manim Community (ManimCE) animations: use when users want 3Blue1Brown-style explainer videos, need scene-by-scene planning, or ask for ManimCE code/visualizations. Must gather requi…
Add human oversight to LangChain agents using HITL middleware - includes interrupts, approval workflows, edit/reject decisions, and checkpoints
Initialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and invocation patterns
Generate cold outreach emails from a contact CSV and a self-contained prompt template. Campaign-agnostic — no hardcoded product or voice. The prompt template (from email-prompt-building skill) contain…
Use when "tokenizers", "HuggingFace tokenizer", "BPE", "WordPiece", or asking about "train tokenizer", "custom vocabulary", "tokenization", "subword", "fast tokenizer", "encode text"