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Found 2,648 Skills
Audit test coverage for code changes. Identifies untested logic and provides specific test recommendations. Read-only analysis. Use before PR or after implementation. Triggers: review coverage, check tests, test coverage, are tests adequate.
Master Rails Active Storage for file attachments, cloud storage integration, image transformations, and direct uploads. Use when implementing file uploads, managing attachments to records, configuring S3/GCS storage, generating image variants, and handling file analysis. Covers local disk, cloud services, direct uploads, and advanced patterns.
Choose and implement effector-storage persistence patterns for Effector apps. Use when tasks involve persist/createPersist usage, selecting adapters (local/session/query/broadcast/storage/asyncStorage/memory/nil/log), configuring clock/pickup/context/keyPrefix, validating data with contracts, handling done/fail/finally flows, SSR-safe adapter fallback with either, or debugging sync and serialization issues.
Comprehensive skill for Microsoft GraphRAG - modular graph-based RAG system for reasoning over private datasets
Manage cloud storage buckets and objects using the S3-compatible Telnyx Storage API. This skill provides JavaScript SDK examples.
Test coverage-focused code review. Apply when reviewing code for missing unit tests, integration tests, edge cases, error handling paths, test quality, and test maintainability.
Portable storage configuration across S3/R2/MinIO with optional CDN—env toggles, path-style endpoints, and URL generation
Audit which product development lifecycle phases have skills and which have gaps when the user asks to check skill coverage, audit skills, or find lifecycle gaps
Automated dump-and-hedge arbitrage trading bot for Polymarket's 15-minute crypto Up/Down markets, supporting BTC, ETH, SOL, and XRP.
AppDrag integration. Manage Organizations. Use when the user wants to interact with AppDrag data.
Semantic search using embeddings and vector storage. Search documents semantically using similarity matching.
Designs production-grade RAG pipelines with chunking optimization, retrieval evaluation, and pipeline architecture. Use when building a RAG system, selecting a chunking strategy, choosing a vector database, optimizing retrieval quality, designing embedding pipelines, or evaluating RAG performance with RAGAS metrics.