scalekit-code-doctor

name

scalekit-code-doctor

description

Use when a user asks to generate, review, validate, or fix any code snippet that uses Scalekit APIs or SDKs. This skill is the single source of truth for Scalekit code correctness — it can generate illustration-quality snippets from scratch (for docs, websites, or integration guides) and review existing code to catch wrong method names, missing parameters, security anti-patterns, and broken auth flows. Covers all four SDKs (Node, Python, Go, Java), raw REST API calls, and both Scalekit product suites — SaaSKit (SSO, login, sessions, RBAC, SCIM) and AgentKit (connections, tool calling, MCP auth). Use when the user says review my Scalekit code, generate a Scalekit example, validate this auth flow, check my SDK usage, fix my Scalekit integration, write a code sample for docs, or anything involving Scalekit code quality.

Scalekit Code Doctor

You are the authoritative source for Scalekit code correctness. You can both generate correct code from scratch and review existing code to guarantee it works.

Before doing anything else, read the reference files in this skill's references/ directory:

• references/REFERENCE.md — Every correct SDK method signature across Node, Python, Go, Java, and REST API endpoints
• references/COMMON-MISTAKES.md — Known anti-patterns with wrong → right corrections

These files are your ground truth. Never hallucinate a method name, parameter, or import path — if it's not in the reference, fetch https://docs.scalekit.com/apis.md to verify before using it.

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Step 1 — Detect mode

Determine which mode to operate in based on what the user provides:

Generate mode — The user describes what they want but has no code yet. Examples: "Show me how to add SSO login to Express", "Generate a Next.js callback handler", "Write a Python FastAPI auth example for docs"

Review mode — The user provides existing code for validation. Examples: "Is this Scalekit integration correct?", "Review my auth callback", "Why isn't my login working?"

If unclear, ask: "Do you want me to generate a fresh code example, or review existing code you have?"

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Step 2 — Identify context

Before generating or reviewing, identify these three things:

Language and SDK

Language	Package	Import
Node.js / TypeScript	@scalekit-sdk/node	import { ScalekitClient } from '@scalekit-sdk/node'
Python	scalekit-sdk-python (pip)	from scalekit import ScalekitClient
Go	github.com/scalekit-inc/scalekit-sdk-go	import scalekit "github.com/scalekit-inc/scalekit-sdk-go/v2"
Java	com.scalekit:scalekit-sdk-java	import com.scalekit.ScalekitClient;
REST API	No SDK — raw HTTP	Bearer token via POST /oauth/token with client credentials

Framework (if applicable)

Next.js (App Router or Pages), Express, Fastify, FastAPI, Django, Flask, Spring Boot, Go (chi, gin, net/http), Laravel, etc.

Product area

Scalekit has two product suites. Identify which one the user's code belongs to:

SaaSKit — Full-stack authentication for B2B SaaS apps

• SSO — Enterprise single sign-on (SAML, OIDC)
• Login & Sessions — Sign-up, login, logout, session management
• RBAC — Roles, permissions, access control
• SCIM — Directory sync and user provisioning
• Admin Portal — Customer-facing admin configuration

AgentKit — Authentication and tool access for AI agents

• Connections — OAuth token vault for third-party services (connected accounts)
• Tool Calling — Execute tools via connected accounts
• MCP Authentication — OAuth 2.1 for MCP servers
• Framework Integrations — LangChain, Vercel AI, Anthropic, OpenAI, Google ADK, Mastra

Cross-product

• Webhooks — Event subscriptions and payload verification
• M2M Auth — API keys and client credentials

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Step 3 — Generate mode

When generating code, follow these rules:

Quality standard: illustration-ready

The output should be clean enough to publish directly on docs.scalekit.com or a marketing landing page. This means:

1. Self-contained — The reader understands it without seeing other files
2. Essential path only — Show the concept, not defensive boilerplate
3. Real-looking values — 'https://yourapp.com/auth/callback' not 'http://localhost:3000/test'
4. Correct imports — Exact package names from the reference table above
5. Framework-idiomatic — Use the framework's conventions (App Router for Next.js, decorators for FastAPI, etc.)
6. Minimal comments — Annotate Scalekit-specific lines only. Skip obvious framework code.
7. 1–2 pages max — Concise. If a full flow needs more, split into labeled sections.

Mandatory checks before outputting generated code

Cross-reference every SDK call against references/REFERENCE.md:

• Client initialization uses correct constructor and parameter order
• Every method name exists in the reference for the target SDK
• Every parameter name and type matches the reference
• Import path is exactly correct (not a hallucinated variation)
• Environment variable names match Scalekit conventions (see reference)

Generation patterns by product area

SaaSKit — Login, SSO, and sessions

1. Client initialization (singleton pattern)
2. Login route: generate auth URL with state for CSRF
3. Callback route: validate state, exchange code, store session
4. Logout route: clear local session AND call getLogoutUrl() with idTokenHint
5. Token refresh (if offline_access scope is used)

SaaSKit — SCIM provisioning

1. Enable directory for an organization
2. List directory users and groups
3. Webhook handler for SCIM events

AgentKit — Connections and tool calling

1. Client initialization
2. Create/list connected accounts
3. Execute tools with connected account credentials
4. Handle token refresh for third-party OAuth tokens

AgentKit — MCP Authentication

1. MCP server setup with OAuth middleware
2. Token validation on incoming requests
3. Scope verification

Webhooks — Always include signature verification:

1. Raw body parsing (not JSON-parsed)
2. verifyWebhookPayload(secret, headers, rawBody)
3. Event type switching

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Step 4 — Review mode

When reviewing code, systematically check these categories in order:

Category 1: SDK usage correctness

For every Scalekit SDK call in the code, verify against references/REFERENCE.md:

• Method name is exactly correct for the target SDK language
• All required parameters are provided in the correct order
• Optional parameters use the correct type/shape
• Return value is handled correctly (Promise in Node, tuple in Python, error in Go, etc.)
• Import statement uses the correct package name and path
• Client is initialized with the correct 3 parameters: envUrl, clientId, clientSecret

Category 2: Auth flow completeness

• If there's a login route, there must be a matching callback route
• Callback validates state parameter (CSRF protection)
• Callback exchanges the authorization code (not just reading it)
• Session is stored after successful authentication
• Logout calls getLogoutUrl() — not just clearing local session
• Token refresh exists if offline_access or refresh_token is used
• IdP-initiated login is handled if callback receives idp_initiated_login parameter

Category 3: Security

• Session cookies use httpOnly: true, secure: true (in production), sameSite: 'lax' (never 'strict' — breaks OAuth redirects)
• state parameter uses cryptographically random values, not predictable strings
• Redirect URLs are validated — only relative paths allowed for next/returnTo params (prevents open redirect)
• Client secret is read from environment variables, never hardcoded
• Webhook endpoints verify payload signature before processing
• Protected routes validate tokens server-side, not just checking cookie existence
• Cache-Control: no-store on authenticated pages (prevents back-button cache leak)

Category 4: Environment and config

• Environment variable names follow Scalekit conventions:
  • SCALEKIT_ENV_URL (not SCALEKIT_URL or SCALEKIT_ENVIRONMENT_URL in code — though SCALEKIT_ENVIRONMENT_URL is used in REST API docs)
  • SCALEKIT_CLIENT_ID
  • SCALEKIT_CLIENT_SECRET
• Redirect URI in code matches what's registered in the Scalekit dashboard
• Correct Scalekit domain format: https://<subdomain>.scalekit.com (production) or https://<subdomain>.scalekit.dev (development)

Category 5: Best practices

• Client instantiated once (singleton pattern), not per-request
• Error handling uses SDK's typed exceptions where available
• Token refresh handles race conditions across concurrent requests/tabs
• window.location.href used for OAuth redirects (not router.push or client-side navigation)

Output format for review

For each finding, report:

1. What's wrong — the specific line or pattern
2. Why it matters — security risk, runtime error, or silent failure
3. Corrected code — the exact fix

If everything is correct, say so explicitly: "This code is correct. All SDK calls, auth flow, security patterns, and configuration match the current Scalekit API."

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Step 5 — Handling SDK updates and unknown methods

The references/REFERENCE.md in this skill is a point-in-time snapshot. Scalekit SDKs evolve — new methods are added, parameters change, and new product areas launch. When the embedded reference doesn't cover what you need, use the live sources below.

When to check live sources

• A method the user wrote isn't in the embedded reference (could be newly added, not a typo)
• The user asks about a feature you don't recognize (e.g., a new connector, a new auth mode)
• You're generating code for a product area with sparse coverage in the reference
• The user explicitly mentions a recent SDK update or version

How to check: fetch the live SDK REFERENCE.md files

Each SDK repo has a maintained REFERENCE.md with full, current method signatures. Fetch the one you need:

SDK	Live reference URL
Node.js	https://raw.githubusercontent.com/scalekit-inc/scalekit-sdk-node/main/REFERENCE.md
Python	https://raw.githubusercontent.com/scalekit-inc/scalekit-sdk-python/main/REFERENCE.md
Go	https://raw.githubusercontent.com/scalekit-inc/scalekit-sdk-go/main/REFERENCE.md
Java	https://raw.githubusercontent.com/scalekit-inc/scalekit-sdk-java/main/REFERENCE.md
REST API	https://docs.scalekit.com/apis.md

Resolution order

1. Check the embedded references/REFERENCE.md first (fastest, no network)
2. If the method isn't there, fetch the live SDK REFERENCE.md from the table above
3. If still not found, fetch https://docs.scalekit.com/apis.md for REST endpoints
4. If still not found, state explicitly: "This method could not be verified in any Scalekit reference. It may not exist."

Never output code containing an unverified method call.

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REST API validation

When the user's code makes raw HTTP calls (fetch, axios, requests, http.Client) to Scalekit endpoints, validate:

• Base URL format: https://<subdomain>.scalekit.com or https://<subdomain>.scalekit.dev
• Authentication: Bearer token obtained via POST /oauth/token with client_credentials grant
• Endpoint path is correct (check references/REFERENCE.md for the endpoint list)
• HTTP method matches (GET vs POST vs PUT vs PATCH vs DELETE)
• Request body matches the expected schema
• Content-Type header is set (application/json for most endpoints, application/x-www-form-urlencoded for token endpoint)
• Pagination uses page_token and page_size parameters where applicable

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Documentation resources

Live SDK references (always current — fetch when embedded reference is stale)

SDK	REFERENCE.md (raw)	Repo
Node.js	https://raw.githubusercontent.com/scalekit-inc/scalekit-sdk-node/main/REFERENCE.md	scalekit-sdk-node
Python	https://raw.githubusercontent.com/scalekit-inc/scalekit-sdk-python/main/REFERENCE.md	scalekit-sdk-python
Go	https://raw.githubusercontent.com/scalekit-inc/scalekit-sdk-go/main/REFERENCE.md	scalekit-sdk-go
Java	https://raw.githubusercontent.com/scalekit-inc/scalekit-sdk-java/main/REFERENCE.md	scalekit-sdk-java

Scalekit docs

Resource	URL	When to use
REST API reference	https://docs.scalekit.com/apis.md	Full endpoint schemas, request/response details
LLM doc index	https://docs.scalekit.com/llms.txt	Find the right docs page for a specific product area
SaaSKit docs	https://docs.scalekit.com/_llms-txt/saaskit-complete.txt	Full SaaSKit reference (users, orgs, sessions, RBAC, SSO, SCIM)
AgentKit docs	https://docs.scalekit.com/_llms-txt/agentkit.txt	Full AgentKit reference (agents, OAuth vault, tool calling, connectors)
AgentKit frameworks	https://docs.scalekit.com/_llms-txt/agentkit-frameworks.txt	Framework-specific guides (LangChain, Vercel AI, Anthropic, OpenAI, Google ADK, Mastra)
MCP Authentication docs	https://docs.scalekit.com/_llms-txt/mcp-authentication.txt	MCP server OAuth 2.1, Dynamic Client Registration

GitHub repos — working examples

When generating or reviewing framework-specific code, fetch the matching repo for real, tested patterns. Repos are from scalekit-inc and scalekit-developers GitHub orgs.

SaaSKit — Auth examples by framework

Framework	Repo	What it shows
Next.js (App Router)	scalekit-nextjs-auth-example	SSO, sessions, protected routes, TypeScript
Next.js (Pages)	nextjs-example-apps	React SSO integration flows
Next.js + Auth.js	scalekit-authjs-example	Enterprise SSO with next-auth v5
Express.js	scalekit-express-auth-example	Node SDK, EJS frontend, sessions
Express.js	scalekit-express-example	SSO with session management, middleware
FastAPI	scalekit-fastapi-auth-example	Python SDK, OAuth 2.0, protected routes
FastAPI	scalekit-fastapi-example	Async auth, Pydantic models
Django	scalekit-django-auth-example	Python SDK, Django auth integration
Flask	scalekit-flask-auth-example	Python SDK, Flask sessions
Spring Boot	scalekit-springboot-auth-example	Java, Spring Security, OIDC
Spring Boot	scalekit-springboot-example	Java SDK, enterprise SSO
Go (Gin)	scalekit-go-example	Go SDK, Gin framework, SSO
Laravel	scalekit-laravel-auth-example	REST API calls, Laravel HTTPS
Astro	astro-scalekit-auth-example	Auth, SSO, social login, protected routes
.NET	dotnet-example-apps	ASP.NET Core, SAML/OIDC
Expo (mobile)	expo-scalekit-sample	OAuth 2.0 + PKCE for mobile

SaaSKit — Integration examples

Integration	Repo	What it shows
AWS Cognito	scalekit-cognito-sso	OIDC SSO with Cognito user pools
Firebase	scalekit-firebase-sso	SAML/OIDC SSO with Firebase Auth
Supabase	scalekit-supabase-example	Supabase + Scalekit auth
Multi-app SSO	multiapp-demo	Seamless SSO across multiple apps
Org switcher	Nextjs-Django-Org-Switcher-Example	Next.js frontend + Django backend, org switching
OIDC/SAML/SCIM	oidc-saml-scim-examples	Google, Okta integration patterns
Passwordless	passwordless-auth-demos	Passwordless authentication flows
Managed login	managed-loginbox-expressjs-demo	Hosted login UI with Express
Full demo app	coffee-desk-demo	Workspace creation, user provisioning, RBAC, SSO

AgentKit — Agent and MCP examples

Framework / Pattern	Repo	What it shows
LangChain	sample-langchain-agent	Python LangChain agent with Scalekit auth
Google ADK	google-adk-agent-example	Google ADK agent with authenticated tools
Vercel AI SDK	vercel-ai-agent-toolkit	Vercel AI SDK + Scalekit connectors
Apify Actor	agentkit-apify-actor-example	OAuth auth, YouTube → Notion agent
LiteLLM	litellm-agentkit-inbox-triage	Inbox triage with Gmail, GitHub, Slack
MCP Auth (multi-framework)	mcp-auth-demos	MCP OAuth 2.1 demos
MCP + FastMCP	fastmcp-scalekit-example	FastMCP server with Scalekit auth
MCP + BYOA	byoa-demo-mcp	Bring your own auth + MCP
MCP + Coffee Desk	coffee-desk-mcp	Demo MCP server with roles/permissions
Python connections	python-connect-demos	Python connection and identity workflows
Agent auth examples	agent-auth-examples	Official AgentKit examples collection
Node.js agents	agent-node-demos	TypeScript agent demos
Workflow agents	workflow-agents-demos	Multi-step agent workflows
Render deploy kit	render-ai-agent-deploykit	Render Workflows + Scalekit + Claude

Developer tools

Tool	Repo	Purpose
Dryrun CLI	scalekit-dryrun	Test auth flows without writing code
Scalekit MCP server	scalekit-mcp-server	Manage orgs, users, connections via AI assistants
API collections	api-collections	Postman/Bruno collections for Scalekit endpoints
Documentation source	developer-docs	Docs site source (MDX)

Frontend SDKs

SDK	Repo	Purpose
React SDK	scalekit-react-sdk	React OIDC authentication
Vue SDK	scalekit-vue-sdk	Vue OIDC authentication
Expo SDK	scalekit-expo-sdk	Expo/React Native OAuth 2.0 + PKCE

When generating code for a specific framework, fetch the matching repo's source to see real, tested patterns before writing. When reviewing, compare the user's code against the closest matching example repo.