Classify or explain Momentic test run results using Momentic MCP tools. Use when the user asks to categorize a failure, understand why a run failed, triage test results, or compare run results to past run results.
npx skills add https://github.com/momentic-ai/skills/tree/main/skills/momentic-result-classificationClassify or explain Momentic test run results using Momentic MCP tools. Use when the user asks to categorize a failure, understand why a run failed, triage test results, or compare run results to past run results.
This repo contains 2 individual skills — each has its own dedicated page.
Create, run, and maintain Momentic mobile E2E tests and modules for Android and iOS. Use Momentic MCP tools for live device validation, and use direct v2 YAML edits only for high-confidence local mobile v2 changes.
Create, run, and maintain Momentic E2E tests and modules, which are serialized to disk as *.test.yaml and *.module.yaml files. Momentic uses fast, accurate AI agents to automate browser interactions for the purpose of testing web applications.
This skill should be used when building React components with TypeScript, typing hooks, handling events, or when React TypeScript, React 19, Server Components are mentioned. Covers type-safe patterns for React 18-19 including generic components, proper event typing, and routing integration (TanStack Router, React Router).
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate from other vector databases. Do NOT use for: querying tabular data (use querying-data-lake), S3 object storage, or hundreds/thousands of sustained QPS (use OpenSearch).
Agent Skills used by the Sentry team for development.
A skill to evaluate how secure Firestore security rules are. Use this when Firestore security rules are updated to ensure that the generated rules are extremely secure and robust.
Manage shared AI agent skills, configs, and automation across multi-repo workspaces for Cursor, Claude Code, Codex, Amp, and more
Reduce token use and enable persistent memory for Claude Code, boosting efficiency in solo or team agent setups.