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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530 skills found
A project-specific template skill providing standardized architecture, file structures, coding patterns, and deployment workflows for production-grade AI applications.
Enterprise-grade multi-agent swarm orchestration, event-driven workflow automation, and intelligent agent coordination for Claude Code.
Guided, systematic feature development agent that orchestrates codebase exploration, architectural design, implementation, and automated testing.
Expert guidance for configuring FeatBit observability via OpenTelemetry. Use for setting up metrics, logs, traces, and connecting OTEL backends like Seq, Jaeger, or Prometheus for FeatBit backend monitoring.
Lightweight MCP (Model Context Protocol) connection handler supporting stdio, SSE, and streamable HTTP transports for seamless server integration.
An autonomous UI implementation agent that converts Figma designs into pixel-perfect code using Figma MCP and browser-based refinement.
Self-healing Rust verification loop that automates test execution, clippy linting, and formatting checks.
Build production-ready, reusable Terraform modules for multi-cloud infrastructure. Includes standardized patterns for AWS, Azure, GCP, and OCI with built-in testing and validation.
Automate GitLab repository management with this API-based tool. Perform file operations, branch management, and project tracking directly through your AI agent.
Skill for managing MCP-based research, documentation lookups, and coordination between external search tools and plugin-backed memory systems.
Master DP patterns with complete implementations for memoization, tabulation, and state design for production-ready solutions.
Deep document structure analysis and intelligent content extraction for knowledge bases.