my-history-insight
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.
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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…
A comprehensive skill for analyzing, stress-testing, and optimizing a user's investment portfolio across risks, performance, and diversification.
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 declarative multi-agent systems (MAS) using POMASA pattern language. Use when building agent pipelines, orchestrating multiple AI agents, or creating research automation workflows. Supports p…
Use when "training LLM", "finetuning", "RLHF", "distributed training", "DeepSpeed", "Accelerate", "PyTorch Lightning", "Ray Train", "TRL", "Unsloth", "LoRA training", "flash attention", "gradient chec…
Use when "RAG", "retrieval augmented generation", "LangChain", "LlamaIndex", "sentence transformers", "embeddings", "document QA", "chatbot with documents", "semantic search"
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…
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
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"
Use when "improving image quality", "enhancing screenshots", "upscaling images", "sharpening photos", or asking about "image optimization", "screenshot quality", "resolution improvement"
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…
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 "DSPy", "declarative prompting", "automatic prompt optimization", "Stanford NLP", or asking about "optimizing prompts", "prompt compilation", "modular LLM programming", "chain of thought", "f…
Use when evaluating LLMs, running benchmarks like MMLU/HumanEval/GSM8K, setting up evaluation pipelines, or asking about "NeMo Evaluator", "LLM benchmarking", "model evaluation", "MMLU", "HumanEval", …
Use when "youtube transcript", "extract subtitles", "video captions", "get transcript", "video to text"