claude-plugins · onboard

Lifecycle manager for AI configs.

onboard analyzes a codebase with deep, verified research and generates evidence-grounded Claude tooling on day one — CLAUDE.md, path-scoped rules, skills, agents, hooks, and a verify backlog. Then it detects code-vs-config drift as the project evolves and offers to realign.

plugin codebase-analysis claude-md quality-gates
installbash
claude plugin install onboard@apurvbazari-plugins

Then run /onboard:start to launch the grounded, research-first guided workflow.

10
skills
8
start phases
5
agents
3
research profiles
0
CDN deps
01 — what it does

From evidence-grounded setup to continuous upkeep

Generating a CLAUDE.md is well-covered in 2026 — Claude Code's /init, Copilot, Codex, Cursor, and several web tools all do it. onboard's focus is the step after: grounding the configs in verified research, and keeping them aligned as your code grows.

The first run does not cold-prompt you. A read-only analyzer scans the codebase, a research engine fans out specialists and adversarially verifies their claims, and the wizard asks you to confirm or override what the research already inferred. Nothing is written until you approve a full preview. After that, the drift loop takes over.

Not just generation — alignment

The differentiator is the lifecycle: every generated artifact carries a self-maintaining header, and /onboard:evolve watches code-vs-config drift and proposes targeted realignments you approve one at a time.

02 — research-first start

A grounded, research-first first run

/onboard:start is the main entry point. Instead of a cold questionnaire, it recons the code, researches it, and lets you confirm what the research inferred — behind a hard write gate.

Recon runs the codebase-analyzer agent (read-only, script-free — native Glob/Grep/Read plus git one-liners) to detect languages, frameworks, testing, CI/CD, and structure; its output stays in context, never on disk. Deep Research (onboard:research) fans out specialists per dimension, adversarially verifies their claims, and synthesizes a research dossier plus four artifacts — research-dossier, architecture, risk-register, and glossary. The grounded wizard then surfaces research.wizardInferences for you to confirm or override — autonomy level is always asked cold, never inferred. An empty-repo guard offers a 3-option menu (abort / placeholder / canonical stub) before any of this runs.

03 — the drift loop

The drift-detection loop

/onboard:evolve is the heart of the lifecycle. When /onboard:start runs in enriched mode it installs auto-evolution hooks that quietly track change, and evolve drains them into targeted, approve-by-item updates.

FileChanged hooks on package.json, tsconfig.json, pyproject.toml, lockfiles, and structural anchors log diffs to .claude/greenfield-drift.json; a SessionStart hook summarises pending drift at the start of each session. Then /onboard:evolve reads that log, compares against the original snapshot, categorises the change (new dependencies, structural shifts, config diffs, missing hooks, stale rules), and proposes updates. You decide which to apply; the snapshot then updates so the next run is incremental.

You stay in control

Drift detection never silently rewrites your tooling — every proposed update is shown and applied only on your approval. The snapshot advances after each run, keeping subsequent passes incremental.

04 — pipeline

The seven-phase start pipeline

/onboard:start runs a fixed, model-before-markup pipeline. Nothing is written to disk until Phase 5's hard gate is approved. Click a phase for detail.

The work is split across components: the codebase-analyzer agent recons read-only; the research engine grounds the wizard with verified claims; the wizard is the confirm/override surface; the config-generator agent takes the combined v3 context (recon + research + wizard) and writes every artifact.

05 — reference

Ten skills, five agents

The six user-facing skills use the /onboard:<name> slash syntax. Read-only helpers can auto-invoke; the three destructive entry points — start, update, and adopt — require explicit invocation; the four internal steps are hidden from the menu entirely.

SkillInvocationWhat it does
/onboard:startuser-onlyMain entry point — the grounded, research-first guided workflow: recon → research → wizard → preview gate → generation → handoff. Includes the empty-repo guard.
/onboard:updateuser-onlyRe-aligns tooling against the latest Claude Code best practices and live docs, preserving your manual customisations.
/onboard:adoptuser-onlyRetrofits hand-crafted tooling into an onboard baseline (mode:retrofit + snapshots) so update works — without modifying any hand-crafted file. Every adopted artifact is tracked origin:adopted.
/onboard:evolveautoThe drift loop. Reads greenfield-drift.json, compares against the snapshot, and proposes targeted realignments you approve.
/onboard:verifyautoIndependent feature verification — spawns the feature-evaluator agent in worktree isolation to test features against docs/feature-list.json. Single-feature, sprint, or all-incomplete modes.
/onboard:checkautoQuick health check — last run date, generated artifacts, integrity status, and recommendations.
/onboard:generateinternalInternal generation step invoked by start / update / evolve. Consumes the v3 context; mode:plan computes the manifest for the gate without writing, mode:write runs the full pipeline.
researchinternalThe v3 research engine. Fans out one read-only specialist per dimension, adversarially verifies every claim against the codebase, then synthesizes the canonical research dossier the generation step consumes. Claims that cannot be proven are dropped, not softened.
wizardinternalThe adaptive Q&A flow that gathers developer preferences during start. A building block, never invoked on its own.
generationinternalShared generation building block backing generate — the artifact recipes the config-generator agent writes from.

Three agents do the heavy lifting: the codebase-analyzer (read-only recon), the config-generator (writes all artifacts from the v3 context), and the feature-evaluator (independent feature testing, spawned by verify).

06 — profiles

Three research profiles

During start you pick a profile. It sets how deep the research goes and how much tooling is generated — there is no Custom path.

ProfileResearch depthGeneration scope
MinimalShallow researchCore tooling only
Standard recommendedBalanced researchBalanced tooling
ComprehensiveFull researchEnriched tooling

Autonomy level is a separate, always-cold question — never inferred from the codebase. It decides whether Claude only suggests (always ask), runs a balanced set of auto-format + advisory-lint + blocking pre-commit gates, or fully enforces them (autonomous).

07 — output

What it generates

Generation has two tiers. Core artifacts are always produced; Enriched artifacts are added only when the wizard enables them. Every file carries a self-maintaining version + date header.

coreAlways generated
  • Root CLAUDE.md — overview, tech stack, commands, conventions, critical rules.
  • Subdirectory CLAUDE.md files — context-specific guidance for major directories.
  • .claude/rules/*.md — path-scoped rules for testing, APIs, components, security.
  • .claude/skills/ + .claude/agents/ — stack-specific skills and plugin-aware agents (skips capabilities an installed plugin already covers).
  • .claude/output-styles/ — a project-scoped output style tuned to archetype (onboarding / teaching / production-ops / research / solo).
  • Hook entries in .claude/settings.json — auto-format and lint checks tailored to your tooling.
  • PR template + commit conventions and .claude/onboard-meta.json — the generation manifest.
enrichedWhen the wizard enables it
  • CI/CD pipelines — GitHub Actions: ci, tooling-audit, pr-review.
  • Harness artifactsdocs/progress.md, docs/HARNESS-GUIDE.md.
  • Auto-evolution hooks — FileChanged + SessionStart plus the drift-detection scripts that power /onboard:evolve.
  • Sprint contractsdocs/sprint-contracts/.
  • Agent team support — quality hooks and env vars.
08 — coverage

Supported project types & prerequisites

onboard handles single-language, mixed-language, and monorepo projects across the common stacks. Recon itself is script-free; only the evolution and CI-audit scripts need bash.

node / typescript
JS ecosystem

React, Next.js, Express, NestJS, and more.

python
Python

Django, Flask, FastAPI, and more.

go · rust
Systems

Go and Rust projects.

java / kotlin · ruby
JVM & Rails

Java / Kotlin and Ruby on Rails.

monorepos
Workspaces

npm / yarn / pnpm workspaces, Turborepo, Nx, Lerna.

mixed-language
Polyglot

Projects spanning several languages at once.

prerequisites
bash
Required

Evolution + CI-audit scripts and generated hooks. Ships on macOS and Linux.

git
Required

Repository analysis and contributor detection.

tree
Optional

Directory visualisation — falls back to find.

jq
Optional

JSON parsing in hooks — generated hooks include a python3 fallback.

09 — example

A run, then drift two weeks later

/onboard:start on an existing Next.js 15 project, then /onboard:evolve two weeks later detecting drift after the team added Playwright and extracted a workspace.

/onboard:start → /onboard:evolvetranscript
> /onboard:start

Phase 1: Recon
━━━━━━━━━━━━━━
Scanning codebase… (script-free — native search + git)

  Languages    TypeScript (94%), CSS (6%)
  Framework    Next.js 15 (App Router)
  Testing      Vitest + React Testing Library
  CI/CD        GitHub Actions (1 workflow)
  Size         48 files, 3,200 LOC

Phase 2: Research — profile select
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  (a) Minimal   (b) Standard  ← recommended   (c) Comprehensive
> b

Fanning out specialists → verifying → synthesizing dossier…
  Wrote research-dossier, architecture, risk-register, glossary

Phase 3: Grounded Wizard
━━━━━━━━━━━━━━━━━━━━━━━━
From the research I inferred — confirm or override:
  Testing philosophy   TDD   (vitest + RTL, co-located)   > confirm
  Autonomy level?  (asked cold)  > b (Balanced)

Phase 5: Preview & Gate
━━━━━━━━━━━━━━━━━━━━━━━
  research: 3 risks, architecture map, glossary
  + 12 files (CLAUDE.md, 3 rules, 1 skill, 1 agent, settings.json, …)
  Approve & generate?  [Approve / Adjust / Cancel]   > Approve

Phase 6: Generation → 12 artifacts written
Phase 7: Handoff → "Your project is set up. Try /onboard:check anytime."

# ── two weeks later — team added Playwright + extracted packages/shared ──

> /onboard:evolve

Drift detected:
  + new dependency     @playwright/test in apps/web
  + structural change  packages/shared workspace appeared
  ~ tsconfig changes   paths added for @repo/shared

Proposed updates:
  • Add rule        testing/e2e-conventions.md (Playwright)
  • Update CLAUDE.md → mark monorepo, document workspace boundaries
Apply all? [Y/n]  > Y

Snapshot updated. AI configs realigned to current code.
onboard · v3.1.1 · MIT · by Apurv Bazari