An interactive process for learning a new project’s structure and connected systems, then creating a project knowledge index. The index records relevant code, database, deployment, and tool information for other agent skills.

Onboarding to an unfamiliar project, scanning its Go files, schemas, migrations, deployments, configuration, and instructions, and generating or refreshing project-index.md and infrastructure notes.

A coding agent cannot reliably use project-specific tools without knowing how the repository and infrastructure are organised. This process creates a shared reference and detects when it is missing or outdated.

onboard — Skill for Claude Code and Codex by vmkteam: An interactive process for learning a new project’s structure…

Install

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.

agentmods

npx agentmods add skills/vmkteam/claude-plugins/onboard

Any agent

npx skills add vmkteam/claude-plugins --skill onboard

Clone the repo

git clone --depth 1 https://github.com/vmkteam/claude-plugins

Made for: Claude Code, Codex.

Or install vmkteam-developer, the plugin that ships this one along with the rest of its 35 skills.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/vmkteam/claude-plugins/onboard.svg)](https://agentmods.dev/skills/vmkteam/claude-plugins/onboard)

Your own site

<a href="https://agentmods.dev/skills/vmkteam/claude-plugins/onboard"><img src="https://agentmods.dev/badge/skills/vmkteam/claude-plugins/onboard.svg" alt="Measured on agentmods" height="20"></a>

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 4,341 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00053	$0.04341
Opus 5	$0.00026	$0.02171
Sonnet 5	$0.00011	$0.00868
Haiku 4.5	$0.00005	$0.00434

Measured 3d ago against content hash 49cb509fc4e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

onboard 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 3d 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.

plugins/developer/skills/onboard/SKILL.md · 372 lines

How it starts

The opening of the file, as written. The whole thing — 372 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Onboard — интерактивный онбординг в проект

Интерактивный процесс изучения проекта. Сканирует структуру, обнаруживает системы, создаёт индексный файл знаний для всех скиллов плагина vmkteam-developer.

Процесс

Шаг 1. Сканирование проекта

Изучи локальную структуру:

go.mod — модуль, зависимости, Go-версия, vmkteam-зависимости
Makefile / Makefile.mk — доступные команды, генераторы
docs/model/*.mfd — MFD-схема, namespace'ы, таблицы
docs/*.pgd / docs/*.pdd — схема БД (определяет: /pgd или /pgmdd)
pkg/ — структура пакетов (db, rpc, vt, domain)
cmd/ — точки входа, бинарники
.gitlab-ci.yml — CI/CD pipeline
deployments/ — Nomad/Docker конфиги
cfg/ — конфигурация (TOML)
migrations/ — SQL миграции
CLAUDE.md / .claude/ — существующие инструкции

Автоопределение vmkteam-инструментов из go.mod:

vmkteam/zenrpc → скилл /zenrpc
vmkteam/mfd-generator (или Makefile mfd-*) → скилл /mfd
vmkteam/colgen (или //go:generate colgen) → скилл /colgen
vmkteam/rpcgen (или Makefile *-client) → скилл /rpcgen
vmkteam/appkit → скилл /appkit
vmkteam/cron → скилл /cron
vmkteam/zenrpc-middleware → скилл /zenrpc
.pgd файлы → скилл /pgd
.pdd файлы → скилл /pgmdd

Определи тип сервиса: API, worker, cron, hybrid.

Шаг 2. Определить стадию и infra-группу

Спроси у пользователя:

На какой стадии проект?

Стадия	Описание	Доступные системы
Идея	Только код, нет деплоя	YouTrack, Git
Dev	Задеплоен на dev/staging	+ Sentry (dev), API dev, возможно Grafana
Production	Задеплоен на prod	+ Sentry (prod), API prod, Grafana, Prometheus, Loki, Nomad

Стадия определяет какие системы спрашивать — не задавай вопросы про Grafana/Prometheus если проект на стадии "Идея".

К какой infra-группе относится проект? (например: acme, platform, storefront)

Проверить наличие shared infra-файла: ~/.claude/memory/infra-{group}.md

Если существует — показать содержимое, спросить актуально ли. Перейти к шагу 3b (только специфика сервиса).
Если не существует — перейти к шагу 3a (полный опрос), создать infra-файл.

Read the full file on GitHub · 372 lines

Changes

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.

3d ago First seen · 372 lines · 53 tokens per session scan A 49cb509fc4e9

Subscribe to this mod's changes

onboard is a skill published in the GitHub repository vmkteam/claude-plugins (7 stars, last pushed 4mo ago), licensed MIT. It adds 53 tokens to every session and 4,341 once invoked, about $0.0003 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 2026-08-31.

Planning Writing and docs

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens