sdd-pr
AI-powered PR creation after spec completion. Analyzes spec metadata, git diffs, commit history, and journal entries to generate comprehensive PR descriptions with user approval before creation.
Browse curated skills with source links, package snapshots, README assets and install signals in one calm, searchable catalog.
AI-powered PR creation after spec completion. Analyzes spec metadata, git diffs, commit history, and journal entries to generate comprehensive PR descriptions with user approval before creation.
Use Miller's semantic search capabilities for conceptual code understanding. Activates when searching for concepts, cross-language patterns, business logic, or exploring unfamiliar code. Combines text…
World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B …
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain…
Analyze aired episodes, including information acquisition, frame-by-frame analysis, five elements analysis, and online search. Suitable for in-depth analysis of drama creation techniques and learning …
Just by entering the business domain, it automatically executes the entire service planning workflow from MVP definition to prototype. It generates a complete planning output by sequentially orchestra…
Creates comprehensive handoff documents for seamless AI agent session transfers. Triggered when: (1) user requests handoff/memory/context save, (2) context window approaches capacity, (3) major task m…
Map query single-cell datasets to high-quality reference atlases using Seurat's reference mapping workflow. Performs label transfer, UMAP projection, and integration with reference annotations without…
Enables Claude to browse restaurants and track orders on Seamless (Grubhub)
Build AI applications with Microsoft Semantic Kernel. Create plugins, planners, and memory systems. Use for enterprise AI, copilot development, and Microsoft ecosystem integrations.
World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML in…
This skill should be used when the user uses ambiguous terminology like "make it talk", "we need an api", "make it portable", "check for gaps", asks meta-questions like "am I making sense?", "does thi…
Work with Leavn sermon features - recording, transcription, analysis, playback, import, church directory
Instrument sessions, conversations, and multi-turn interactions
Automatically detect the story setting (type, era, theme) based on keywords and activate the corresponding knowledge base - works silently in the background to provide relevant writing guidance withou…
Performs fine-grained re-clustering on specific subsets of cells (e.g., individual clusters, cell types, or custom subsets). Unlike `Seurat::FindSubCluster` which only finds subclusters within a singl…
Create a super detailed tutorial content for AI tool introduction pages, emphasizing tool comparisons, configuration tips, and practical scenarios; use when writing tutorials on AI tool introductions,…
Build AI applications with Microsoft Semantic Kernel. Create plugins, planners, memory systems, and AI orchestration. Use for enterprise AI integration, .NET/Python AI development, and LLM application…
sense - Diagrammatic Video Extraction with Subtitle Alignment
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNe…
You MUST use this when users ask you to write, create, or generate sermon content - sermons, sermonettes, or split sermons for United Church of God worship services. Use when writing biblical teaching…
Orchestrate end-to-end processing of D&D session videos from upload through knowledge extraction. Use when the user wants a complete automated workflow to process a new session recording.
Performs unsupervised clustering on single-cell RNA-seq data using Seurat. This process finds nearest neighbors, computes UMAP for visualization, and applies Louvain/Leiden algorithms to identify cell…
Generates comprehensive cluster statistics and visualizations for Seurat objects, including dimension reduction plots, gene expression visualizations, cluster quality metrics, and clustree diagrams. T…