supercent
Official@supercent-io
Offers specialized orchestration frameworks for multi-agent development, frontend architecture, and technical documentation within modern software engineering environments.
Agent Skills by supercent
Showing 75 vetted skills indexed across 1 GitHub repositories.
supercent-ioreact-grab
Capture React component context from browser UI elements for AI coding agents.
supercent-ioresponsive-design
Generate responsive web designs using CSS Grid, Flexbox, and media queries.
supercent-iolooker-studio-bigquery
Connect BigQuery data sources to Looker Studio dashboards.
supercent-ioagent-browser
Automates browser interactions for AI agents via a command-line interface.
supercent-ioautoresearch
Iteratively modify and evaluate Python training scripts within fixed time budgets.
supercent-iosprint-retrospective
Facilitate structured sprint retrospectives using formats like Start-Stop-Continue, Mad-Sad-Glad, and 4Ls.
supercent-iolangsmith
Instrument LLM pipelines with tracing and run evaluations via LangSmith.
supercent-ioauthentication-setup
Design and implement JWT-based authentication systems for Express applications.
supercent-iotesting-strategies
Develop testing strategies covering unit, integration, and end-to-end methodologies.
supercent-iobackend-testing
Generate unit, integration, and API tests for Express, Django, and Spring Boot.
supercent-iotechnical-writing
Generates specifications, architecture docs, runbooks, and API references.
supercent-ioui-component-patterns
Guide React component architecture with TypeScript design patterns.
supercent-iostandup-meeting
Facilitate daily standup meetings with structured progress updates and blocker tracking.
supercent-ioplannotator
Review AI agent plans and git diffs through a visual browser UI.
supercent-iocopilot-coding-agent
Convert labeled GitHub issues into draft pull requests with Copilot.
supercent-iojeo
Orchestrate planning, execution, verification, and cleanup across multiple AI platforms.
supercent-iodatabase-schema-design
Design and optimize SQL and NoSQL database schemas with migration scripts.
supercent-ioai-tool-compliance
Verify AI tool compliance against internal guidelines using static analysis.
supercent-ioohmg
Orchestrate PM, Frontend, Backend, Mobile, and QA agents for multi-agent projects.
supercent-iogenkit
Build AI workflows with Firebase Genkit using TypeScript, Go, and Python.
supercent-iobmad-gds
Orchestrates AI agents across game lifecycle from ideation to QA for Unity, Unreal Engine, and Godot.
supercent-ioenvironment-setup
Configure and validate application environments with Zod and .env files.
supercent-ioopencontext
Manage persistent AI agent memory and context with the OpenContext CLI.
supercent-iodeployment-automation
Automate application deployment to cloud platforms with CI/CD pipelines, Docker, and Kubernetes.
Frequently Asked Questions About supercent
FAQPage SchemaWhat specific development tasks can be managed using these orchestration frameworks?▼
These frameworks enable structured sprint planning, automated code reviews, multi-agent project coordination, and iterative development loops. They facilitate tasks ranging from database schema design and API documentation to complex frontend state management and performance optimization.
Which technical personas benefit most from these integration capabilities?▼
Software engineers, frontend architects, and DevOps practitioners benefit from these capabilities. The system is designed for teams managing large-scale React/Next.js codebases, those requiring strict adherence to design systems, and developers coordinating multiple specialized coding agents for complex feature delivery.
What are the primary prerequisites for implementing these orchestration patterns?▼
Implementation requires a foundational understanding of TypeScript, Git, and containerization technologies like Docker. Users should have existing project structures in React or Node.js/Express and familiarity with standard configuration formats like .env files and OpenAPI specifications.