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Retrieval-augmented generation (RAG) skill for the D&D 5e System Reference Document (SRD). Use when answering questions about D&D 5e core rules, spells, combat, equipment, conditions, monsters, and ot…
Extract structured metadata from documents using AI. Classify content types, extract topics and tools. Supports async batch processing.
Skill specialized in the analysis of pictographic language to identify actors (people/active systems), objects of work (documents/information/physical things), activities (verbs) and structure informa…
Produce a first draft from an approved outline in the AI 实践记录 workflow.
This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", m…
This skill should be used when the user asks to "optimize an agent with GEPA", "use reflective optimization", "optimize ReAct agents", "provide feedback metrics", mentions "GEPA optimizer", "LLM refle…
This skill should be used when the user asks to "build a RAG pipeline", "create retrieval augmented generation", "use ColBERTv2 in DSPy", "set up a retriever in DSPy", mentions "RAG with DSPy", "conte…
DuckDB Spatial Skill
Creates STRUCTURED summary.md in each daily folder. Analyzes chat conversations and generates actionable summaries with "Što je uradio" and "Što bi trebao da uradi" sections per person. Use for daily …
Coordinate Tutopanda CLI and MCP to generate, edit, inspect, and preview documentary videos (video-audio-music blueprint with FinalVideo export). Use when users ask for Tutopanda to build, edit, or re…
Downloads videos from Youtube. Use when you have a youtube.com URL and you want the video/audio content to be downloaded.
Expert guidance for creating syntactically correct and well-structured Mermaid diagrams following best practices. Use when creating flowcharts, sequence diagrams, class diagrams, state diagrams, Gantt…
This skill should be used when the user asks to "fine-tune a DSPy model", "distill a program into weights", "use BootstrapFinetune", "create a student model", "reduce inference costs with fine-tuning"…
This skill should be used when the user asks to "optimize a DSPy program", "use MIPROv2", "tune instructions and demos", "get best DSPy performance", "run Bayesian optimization", mentions "state-of-th…
This skill should be used when the user asks to "create a ReAct agent", "build an agent with tools", "implement tool-calling agent", "use dspy.ReAct", mentions "agent with tools", "reasoning and actin…
Predicts stock direction/magnitude at T=0 (report release). Uses PIT data only. Run before earnings-attribution.
Retrieval-augmented generation (RAG) skill for the D&D 5e System Reference Document (SRD). Use when answering questions about D&D 5e core rules, spells, combat, equipment, conditions, monsters, and ot…
Five-phase reasoning protocol based on Musashi's Book of Five Rings. Ground (morphemic extraction), Water (pattern matching), Fire (unified derivation), Wind (predictions), Void (meta-closure). Use fo…
Direct Preference Optimization for learning from preference pairs. Covers DPOTrainer, preference dataset preparation, implicit reward modeling, and beta tuning for stable preference learning without e…
Multi-agent data science framework using DS-STAR (Data Science - Structured Thought and Action) architecture. Automates data analysis through collaborative AI agents with multi-model support (Haiku, S…
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
Build type-safe LLM applications with DSPy.rb - Ruby's programmatic prompt framework with signatures, modules, agents, and optimization
This skill should be used when the user asks to "integrate DSPy with Haystack", "optimize Haystack prompts using DSPy", "use DSPy to improve Haystack pipeline", mentions "Haystack pipeline optimizatio…
Verifies relationships between a source text (e.g. Episode, Task) and existing Knowledge Graph lessons. Runs KNN/Hybrid search to find candidates, then uses LLM (scillm) to verify "verifies", "contrad…