productivity▌

This skill covers ABAP syntax from 7.40 SP08 through ABAP Cloud. Features requiring a higher release are annotated with inline comments in code examples using the format " [7.xx+] or noted in reference files. The table below summarizes the key version boundaries.

Research grant writing is the process of developing competitive funding proposals for federal agencies and foundations. Master agency-specific requirements, review criteria, narrative structure, budget preparation, and compliance for NSF (National Science Foundation), NIH (National Institutes of Health), DOE (Department of Energy), and DARPA (Defense Advanced Research Projects Agency) submissions.

Routing orchestrator for game development projects with platform and dimension-specific sub-skills. \n \n Routes to specialized sub-skills based on target platform (web, mobile, PC, VR/AR) and game dimension (2D or 3D) \n Covers core principles applicable across all platforms: game loop architecture, fixed timestep physics, input abstraction, and performance budgeting for 60 FPS \n Includes pattern selection matrix (State Machine, ECS, Behavior Trees, Object Pooling) with decision rules for when

You are an expert .NET backend architect with deep knowledge of C#, ASP.NET Core, and enterprise application patterns.

Automatically analyze Bilibili videos, extract frames, and generate structured documentation or tutorials using AI. \n \n Downloads videos via Bilibili API, extracts frames using FFmpeg at configurable rates (1 fps for short videos, 0.5 fps for medium, 0.2 fps for long), and deduplicates similar adjacent frames \n Batch-analyzes extracted frames in parallel using the Task tool, with dynamic batching strategy based on total frame count (1–5 batches) \n Reorganizes analysis results into polished m

Senior-level data engineering expertise for building scalable pipelines, ETL systems, and production data infrastructure. \n \n Covers advanced patterns across data pipeline architecture, modeling, and DataOps with distributed computing frameworks (Spark, Airflow, dbt, Kafka) and modern data stack tools (Databricks, BigQuery, Snowflake) \n Includes production deployment patterns for scalable data processing, ML model serving with low latency, and real-time inference with auto-scaling and monitor

Grill me about specs for the workflows I want to build, within this workspace.

Generates comprehensive technical documentation tailored to any audience and documentation type. \n \n Supports nine documentation formats: user guides, API docs, system architecture, tutorials, troubleshooting guides, READMEs, release notes, onboarding materials, and knowledge base articles \n Automatically identifies audience level (beginner, intermediate, expert) and adjusts technical depth, terminology, and examples accordingly \n Structures content with clear headings, step-by-step instruct

Contract-first API patterns for Dify frontend using oRPC with TanStack Query integration. \n \n Define contracts in web/contract/* as single source of truth; consume via useQuery(consoleQuery.xxx.queryOptions(...)) at call sites for 1:1 endpoint mappings \n Use .key() for partial matching in invalidation/refetch, .queryKey() for specific query identity, and .mutationKey() for mutation defaults or status filtering \n Extract queryOptions helpers only when 3+ call sites share identical options; cr

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