Guide for authoring and developing Expo modules using the Expo Modules API.
The Block Collection and Block Party are repositories for existing AEM blocks, build tools, code snippets, integration patterns, plugins, and more. Use this skill anytime you are developing something and want to find a reference to use as a starting point.
Integrate new or updated gameplay modes into the existing game app end-to-end, including lobby registration, navigation wiring, state persistence, assets, gameplay rules, performance guardrails, and verification. Use when adding a mini-game/mode, refactoring gameplay logic, wiring assets, or ensuring state/controls remain stable across flows.
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.
Repo workflow for markdowntown CLI development and scans.
Pflege Evaluationsmetriken und Schwellenwerte; verwenden bei Aenderungen an Metriken, Messmethoden oder Akzeptanzkriterien fuer Evaluation.
Debug constructor inheritance issues where subclass properties are accessed before initialization.
Use when working in Python with scikit-hep vector and Awkward Array to build vector records, register behaviors, compute deltaR or invariant masses, combine or boost vectors, or access vector properties from ak.zip records of type (Momentum3D/Momentum4D/Vector4D). Vector is only useful if you are also using Awkward.
Create a safe checkpoint git commit on the current branch (auto-message; include agent log + safe untracked files; avoid secrets and bulky artifacts; track runs/**/{summary,report}.md only).
Use when writing or refactoring Python code for LangGraph v1.x + LangChain v1: Graph API + Functional API import paths, checkpoint/store usage, and migrations off deprecated prebuilts (create_react_agent -> langchain.agents.create_agent).
Copy this to `.claude/skills/setup-granola/SKILL.md` to enable automatic installation.
Build and optimize MongoDB queries, aggregation pipelines, and CRUD operations. Use when the user asks to query data, filter documents, join collections, aggregate results, update documents, or work with MongoDB data in any way.
Configures comprehensive logging, metrics, distributed tracing, and alerting for GKE applications. Use when setting up Cloud Logging, creating dashboards in Cloud Monitoring, instrumenting Spring Boot with metrics, configuring alerts for error rates or resource usage, or implementing distributed tracing with Cloud Trace. Includes Prometheus integration, structured logging patterns, and observability best practices for microservices.
Personalized coding tutorials that build on your existing knowledge and use your actual codebase for examples. Creates a persistent learning trail that compounds over time using the power of AI, spaced repetition and quizes.
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
Orchestre cycle de vie modules (planification, exécution, finalisation), génère rapports professionnels, met à jour RAPPORT_GENERAL
Guide for benchmarking FlashInfer kernels with CUPTI timing
Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
Define services, provide layers, compose dependencies, and switch live/test. Use for DI boundaries and app composition.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.