Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/roedyrustam/vibes-plug/fullstack-expertnpx skills add roedyrustam/vibes-plug --skill fullstack-expertgit clone --depth 1 https://github.com/roedyrustam/vibes-plugWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/roedyrustam/vibes-plug/fullstack-expert)<a href="https://agentmods.dev/skills/roedyrustam/vibes-plug/fullstack-expert"><img src="https://agentmods.dev/badge/skills/roedyrustam/vibes-plug/fullstack-expert.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00101 | $0.02468 |
| Opus 5 | $0.00051 | $0.01234 |
| Sonnet 5 | $0.00020 | $0.00494 |
| Haiku 4.5 | $0.00010 | $0.00247 |
Grade A, and why
fullstack-expert scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fullstack Expert (2026 Multi-Language Edition)
English
Orchestration & Integration
Connects and orchestrates with relevant domain skills like brainstorming, zero-to-prod-orchestrator, and project-context-mapper to ensure cohesive execution.
Description
Expert-level fullstack development across multiple languages and frameworks. Covers tech stack selection, API design (REST/gRPC/GraphQL), microservice architecture, DevOps, system design patterns, and AI-native backend integration for 2026.
Trigger Conditions
- Choosing the right language and framework for a new service or feature.
- Designing APIs between services in a multi-language architecture.
- Planning a microservices decomposition strategy.
- Implementing system design patterns (event sourcing, CQRS, saga pattern).
- Integrating AI agents or LLM capabilities into a backend system.
2026 Technology Matrix
Frontend
| Tool | Version | Notes |
|---|---|---|
| React | 19.x | Compiler, Server Actions, use() hook |
| Next.js | 15.x | PPR, RSC, App Router stable |
| Astro | 5.x | Islands architecture, MDX, SSG |
| TanStack Router | 1.x | Type-safe SPA routing |
| TanStack Start | Beta | Full-stack Vite + RSC patterns |
| Nuxt | 4.x | Vue 3 SSR/SSG, stable |
| SvelteKit | 2.x | Lightweight, edge-ready |
Backend
| Language | Framework | Best For |
|---|---|---|
| TypeScript | Hono, Fastify 5, NestJS | Serverless, edge, type-safe RPC |
| Python | FastAPI 0.115+, Django 5 | AI/ML workloads, data pipelines |
| Go | net/http (1.22+), Gin, Echo | High-throughput microservices, CLI |
| Rust | Axum 0.8, Actix-web 4 | Performance-critical, WASM |
AI & Agents
| Tool | Role |
|---|---|
| Vercel AI SDK 5.x | Full-stack AI streaming, RSC |
| Mastra.ai | TS-first agent framework |
| LangGraph | Python stateful agent workflows |
| OpenAI Agents SDK | GPT-5 native agents + handoffs |
| Google ADK | Gemini-powered agents |
| Mem0 / MemGPT | Long-term agent memory |
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 4d ago First seen · 262 lines · 101 tokens per session scan A c3c60ed1dadb
fullstack-expert is a skill published in the GitHub repository roedyrustam/vibes-plug (49 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 2,468 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
performance-optimization
Optimizes application performance across frontend, backend, queries, and databases. Use when performance requirements exist, when you suspect performance regressions, when Core Web Vitals or load times need improvement, when N+1 query patterns need fixing, or when profiling reveals bottlenecks.
doubt-driven-development
Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when correctness matters more than speed, when working in unfamiliar code, when stakes are high (production, security-sensitive logic, irreversible operations), or any time a confident output would be cheaper to verify now…
test-driven-development
Drives development with tests. Use when implementing any logic, fixing any bug, or changing any behavior. Use when you need to prove that code works, when a bug report arrives, or when you're about to modify existing functionality.
ci-cd-and-automation
Automates CI/CD pipeline setup. Use when setting up or modifying build and deployment pipelines. Use when you need to automate quality gates, configure test runners in CI, or establish deployment strategies.
context-engineering
Optimizes agent context setup. Use when starting a new session, when agent output quality degrades, when switching between tasks, or when you need to configure rules files and context for a project.
documentation-and-adrs
Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.