By pranav8494
Orchestrates a full SDLC team of specialized AI agents — product managers, engineers, QA, designers, and more — that plan, execute, and review software delivery tasks from requirements through deployment and monitoring.
Backend engineering specialist. Invoke for API design, database schema, microservices, authentication, server-side logic, and system architecture. Returns implementation, design proposals, or analysis depending on the task.
Data analysis specialist. Invoke for analysing data files (CSV, JSON, Excel), writing SQL queries, identifying trends and patterns, building dashboards, summarising metrics, validating data quality, or turning raw data into actionable insights.
Developer experience specialist. Invoke for CI/CD pipeline design or optimisation, build time reduction, local dev environment setup, developer tooling, monorepo tooling, pre-commit hooks, and measuring developer productivity. Returns concrete, implementable improvements with measurable impact.
Technical writing specialist. Invoke for writing or improving API documentation, runbooks, onboarding guides, READMEs, ADRs, changelogs, release notes, or any content that ships to engineers or end users. Also use for structuring documentation sites and diagrams-as-code.
Fintech frontend specialist. Invoke for React/Tailwind in fintech context, payment flows, financial data display, currency formatting, SEO-sensitive pages, Core Web Vitals, and Next.js App Router. Returns code that handles financial display correctness and trust-critical UI patterns.
Use when designing APIs, working with databases, building microservices, handling authentication and authorisation, optimising server performance, designing data models, or any task involving server-side logic, infrastructure, or system architecture.
Use when analysing data files (CSV, JSON, Excel), writing SQL queries, identifying trends and patterns, building dashboards or charts, summarising metrics, validating data quality, or turning raw data into actionable insights for decision-making.
Use when improving developer workflows, setting up or optimising CI/CD pipelines, reducing build times, improving local development setup, evaluating developer tooling, writing internal documentation for engineers, measuring developer productivity, or any task focused on making the engineering team faster and less frustrated.
Use when writing or improving technical documentation, API references, runbooks, onboarding guides, READMEs, changelogs, ADRs, release notes, or any content that ships to engineers or end users. Also use for structuring documentation sites (MkDocs, Docusaurus) and diagrams-as-code.
Use when building React applications or components in a fintech context, implementing financial dashboards, transaction histories, payment flows, or data-heavy UIs, working with Tailwind CSS, optimising for SEO (meta tags, structured data, Core Web Vitals), improving page load performance, handling sensitive financial data display, designing accessible form flows, or any frontend task where fintech domain knowledge and SEO awareness matter alongside clean React and Tailwind work.
Uses power tools
Uses Bash, Write, or Edit tools
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Hire 17 domain experts in one install. Invoke any specialist directly,
or let the orchestrator plan, dispatch, and synthesise the work for you.
Install · How It Works · Orchestrator · Specialists · Examples · Contributing · Changelog
One request. Multiple specialists dispatched in parallel. One synthesised answer.
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Understand + Plan Orchestrator reads your request, identifies domains, and breaks work into subtasks, each assigned to the right specialist with a trust tier. |
Dispatch in parallel Independent tasks run simultaneously. Dependent tasks chain findings forward. Key facts are shared across rounds via a findings scratchpad. |
Synthesise Confidence signals are checked, conflicts resolved by a senior-engineer review pass, and everything assembled into one coherent answer with a full trace log. |
/orchestrator my checkout conversion is dropping, help me figure out why and fix it
→ Identified: UX Researcher + Data Analyst + Frontend Reviewer [parallel]
→ UX Researcher [High] users don't trust the payment form
→ Data Analyst [High] mobile abandonment is 2× desktop
→ Frontend Reviewer [High] submit button is below the fold on mobile
→ Chaining findings → Backend Engineer + Frontend Designer [parallel]
→ Senior Engineer review pass...
→ Synthesis complete. Full trace log attached.
High / Medium / Low so the orchestrator and you know what needs a second look/plugin marketplace add pranav8494/team-of-agents
/plugin install team-of-agents@team-of-agents
Think of this plugin as a consultant firm. The orchestrator is the project manager, it listens, breaks the problem into pieces, and hands each piece to the right expert. Each expert does their slice and hands the work back. The project manager assembles it into one answer.
You describe a task in plain English.
The orchestrator reads your request, identifies which specialists are needed, shows you the plan, waits for approval, dispatches each specialist, collects their answers, and produces one combined result.
The specialists (17 of them) each handle one domain, backend, frontend, data, UX, SRE, and so on. Each does its slice and nothing more.
You type a request
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Orchestrator reads it → breaks it into subtasks → shows you the plan
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You confirm → orchestrator dispatches specialists
(independent tasks run in parallel; dependent tasks run sequentially)
↓
Each specialist returns output + a confidence signal (High / Medium / Low)
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Orchestrator checks confidence:
High → use it directly
Medium → flag the assumption, ask you to confirm before acting
Low → surface the gap, re-dispatch with more context
BLOCKED → ask you what's missing, then retry
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Optional: senior-engineer reviews all outputs for errors or conflicts
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Orchestrator assembles everything into one answer with a full trace log
npx claudepluginhub pranav8494/team-of-agents --plugin team-of-agentsComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
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