supercent-io

AI assistants lose context across sessions, repos, and dates, forcing users to repeat background and re-explain decisions. OpenContext provides a lightweight context store that preserves project knowledge, decisions, and conclusions for consistent multi-session collaboration.

Complex tasks require coordinated effort across multiple AI agents. OMC provides teams-first orchestration with 32 specialized agents and smart model routing for efficient task completion.

Managing complex projects across multiple AI agents is fragmented and error-prone. This skill provides a unified orchestration layer with specialized agents, Serena Memory state sharing, and real-time observability dashboards.

When packages are not on npm registry or you need specific branches, this skill guides you through installing directly from GitHub. Learn HTTPS, SSH, and token authentication methods safely.

This skill helps developers and DevOps engineers implement comprehensive monitoring, logging, and alerting systems using industry-standard tools like Prometheus and Grafana.

Transform raw BigQuery data into actionable business insights through interactive dashboards. This skill guides you through connecting data sources, optimizing queries, and designing effective visualizations that drive decisions.

This skill helps developers and DevOps engineers quickly identify errors, performance bottlenecks, and security threats in application logs using proven command-line techniques.

Managing multi-agent development workflows across Claude, Codex, Gemini, and OpenCode requires coordinating planning, execution, verification, and cleanup phases. JEO provides unified orchestration with visual plan approval, browser verification, and automatic worktree cleanup.

Struggling with Git branches, merges, and conflicts? This skill provides clear, step-by-step guidance for all Git operations with best practices for team collaboration.

Managing external Git repositories as submodules can be complex. This skill provides step-by-step commands and examples for adding, updating, cloning, and removing Git submodules in your projects.

Building AI workflows requires understanding complex orchestration patterns, deployment configurations, and model integrations. This skill provides production-ready templates and best practices for creating type-safe flows, tool-calling agents, and RAG pipelines with Genkit.

Add generative AI features to Firebase apps using Gemini. This skill helps you set up Firebase AI SDK, implement text generation and image analysis, and configure security rules for production-ready AI-powered applications.

Chaotic folder structures slow down development and confuse team members. This skill provides proven patterns for organizing files in React, Node.js, and feature-based projects that scale with your codebase.

Managing environment variables across multiple environments is error-prone and time-consuming. This skill provides templates and best practices for .env files, TypeScript configuration validation, and Docker environment handling so you can set up environments correctly the first time.

Manual deployment is slow and error-prone. This skill provides ready-to-use templates for Docker, Kubernetes, GitHub Actions, and zero-downtime deployment strategies so you can ship faster with confidence.

Struggling with elusive bugs and runtime errors? This skill provides proven debugging methodologies to identify root causes, isolate issues, and implement verified fixes.

This skill helps AI assistants design optimized database schemas for SQL and NoSQL databases. It provides structured guidance for entity modeling, relationship design, indexing strategies, and migration scripts.

Data analysis requires extracting insights from datasets. This skill provides Python pandas techniques to explore, clean, visualize, and derive statistical insights from CSV, JSON, and SQL data sources.

This skill automates GitHub Copilot Coding Agent to transform issues into Draft Pull Requests with a single label. Team members add the ai-copilot label, and Copilot handles implementation automatically.

This skill enables AI assistants to conduct professional code reviews by checking for bugs, security issues, code quality, and best practices. It provides structured feedback for pull requests.

This skill helps developers simplify complex code while preserving behavior. It provides step-by-step refactoring patterns like Extract Method, DRY principle, and SOLID design to improve code clarity and reduce technical debt.

Finding code in large projects is hard. This skill provides proven search strategies and patterns to quickly locate functions, trace dependencies, and understand unfamiliar code.

Keep your software releases organized and informative. This skill provides templates and best practices for maintaining changelogs that developers and users can easily understand.

BMAD workflow orchestrator helps AI development agents manage structured development across Analysis, Planning, Solutioning, and Implementation phases with built-in quality gates.