gentleman-trainer
Vim Trainer RPG system patterns for Gentleman.Dots. Trigger: When editing files in installer/internal/tui/trainer/, adding exercises, modules, or game mechanics.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Vim Trainer RPG system patterns for Gentleman.Dots. Trigger: When editing files in installer/internal/tui/trainer/, adding exercises, modules, or game mechanics.
Installation step patterns for Gentleman.Dots TUI installer. Trigger: When editing installer.go, adding installation steps, or modifying the installation flow.
System detection and command execution patterns for Gentleman.Dots. Trigger: When editing files in installer/internal/system/, adding OS support, or modifying command execution.
MatrixOne database kernel development - deterministic CGo build/test setup, complete test matrices, hung-test diagnosis, GPU builds (MO_CL_CUDA=1 / cuVS), operator lifecycle contracts (Call/Reset), pipeline protocol, and the vector/fulltext index-plugin framework. Use when modifying kernel packages, running CGo-transitive tests, diagnosing compile/link/load/vendor failures or silent hangs, changing colexec/process/compile pipelines, or adding/editing index algorithms.
Updates pinned package dependencies for Dart and Flutter project templates. Use when adding/removing packages from the allowlist or updating dependency versions across Flutter channels (main/beta/stable).
Guides building full-stack applications with AWS Blocks — an Infrastructure-from-Code framework. Applies when creating APIs, selecting Building Blocks (KVStore, DistributedTable, Database, AuthBasic, AuthCognito, Realtime, AsyncJob, FileBucket, etc.), running local development, or deploying AWS Blocks applications. Also covers AWS Blocks topics with validated, version-specific patterns that prevent common mistakes. Triggers when user mentions AWS Blocks; project has aws-blocks/ directory; code imports @aws-blocks packages.
Designs, reviews, and debugs DynamoDB data layers from design axioms — enumerates access patterns, chooses partition/sort keys and GSIs, decides single-table vs. multi-table, configures Streams, Global Tables, TTL, and zero-ETL integrations to OpenSearch/Redshift/SageMaker Lakehouse, and produces a defensible data-layer design with a monthly cost estimate and optional live validation. Applies whenever a user is designing, reviewing, or refactoring anything backed by DynamoDB — schemas, access patterns, GSIs, single- vs. multi-table choices, Streams consumers, transactional outboxes, Global Tables, zero-ETL pipelines — even when they don't say "axioms" or "design review." Also applies when debugging hot partitions, throttling, unbounded Scans, LWW conflicts, or surprise bills on DynamoDB workloads.
Handles the full DMS Schema Conversion lifecycle including creating migration projects, converting database schemas to a target engine, running compatibility assessments, navigating metadata trees, exporting converted DDL to S3, applying schema changes to a target database, and converting SQL statements between database engines.
Prompt used by the `askAi` Gradle task to draft a reply, in a senior engineer voice, to a reviewer's question on a GitLab Merge Request. The Gradle task gathers MR context (description, commits, diff, discussion thread, and the inline code snippet when anchored) and appends it to this prompt before calling the Claude API.
Analyze a UI screenshot and identify which MEGA core-ui library components match the visible elements. Extracts component metadata from the sources.jar and performs text + visual matching against component screenshots.