project-guidelines-example
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
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428 skills found
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
Transform text into professional Mermaid diagrams. Automatically handles syntax, subgraphs, and layout rules for clean flowcharts, sequence diagrams, and process maps.
Analyzes codebases to generate hierarchical documentation, onboarding guides, and architectural mapping, helping teams understand and document their projects efficiently.
Supermemory is a long-term memory infrastructure for AI agents, enabling persistent context, user profiles, and semantic RAG across multi-modal knowledge bases.
Search and analyze X (Twitter) trends, hashtags, and tweet data by location using custom CLI tools.
Manage Neovim configurations, plugin ecosystems, and custom reproducible builds.
Perform comprehensive code reviews with a focus on security vulnerabilities, performance optimization, maintainability, and code correctness.
Conduct thorough dependency audits to identify redundant code, unused features, and improper usage patterns. Ensures project modularity by leveraging existing dependencies instead of reinventing functionality.
Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.
Validate n8n expression syntax, perform context-aware testing, detect common pitfalls, and optimize data transformations within your workflows.
Migrate Spring Boot 2.x to 3.x with automated dependency management, Java 17/21 upgrades, and JAXB/Jakarta EE refactoring.
Execute the implementation planning workflow, generate technical design artifacts, and structure research tasks for Spec Kit projects.