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White Label Blueprint

Community
Enriquemarq1
white-label-blueprint

Build your own white-label social media tool on the Zernio API — the five checks: embedded OAuth under YOUR brand (headless connect), one isolated workspace per client (profiles), full-capability posting, webhooks for token health, and the maintenance you never build. Use when the user wants a branded portal/dashboard where THEIR clients connect social accounts and the app posts, monitors and reports for them — an agency tool, a SaaS feature, a client portal. Triggers: 'white label', 'build my own buffer', 'client portal for social', 'let clients connect their accounts', 'agency dashboard', 'embed social login in my app'.

Overview

PublisherEnriquemarq1
Repositoryzernio-library-skills
Skill namewhite-label-blueprint
Stars
50
Forks
13
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Enriquemarq1 on GitHub. Read the source before you install it.

Installation

Install the White Label Blueprint AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Enriquemarq1/zernio-library-skills/tree/main/.claude/skills/white-label-blueprint
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Enriquemarq1/zernio-library-skills.git /tmp/zernio-library-skills
mkdir -p .claude/skills
cp -r /tmp/zernio-library-skills/.claude/skills/white-label-blueprint .claude/skills/white-label-blueprint
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable White Label Blueprint in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads White Label Blueprint on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so White Label Blueprint is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

White-Label Blueprint — your own social media tool, one API underneath

Your brand. Their accounts. One API. The client connects Instagram on YOUR page, under YOUR logo — and never sees the vendor.

YOUR PORTAL → [1 CONNECT] → [2 WORKSPACES] → [3 POST] → [4 WEBHOOKS] → [5 NOTHING]
                embedded       one per          on their    know before    the upkeep
                OAuth          client           behalf      the client     you never build

The law: white-label ≠ your logo on someone's dashboard. A logo swap is cosmetics. Real white-label is YOUR product running on invisible infrastructure — and it takes exactly five checks:

#CheckWhat proves it
1Embedded OAuth, your brandyour page → the platform's own consent dialog → your page. The vendor never enters the frame.
2One workspace per clientclient B's accounts are unreachable from client A's scope — the API answers 403, not the UI.
3Full platform capabilityone request posts native everywhere, with the official APIs' depth — not a vendor's subset.
4Webhooksa client's token dies → a signed event hits your server → your portal flags it before the client notices.
5Maintenance you never touchtoken refresh, app reviews, API version bumps, platform quirks, rate handling — all run, none are yours.

Starting from zero? Paste reference/initiation-prompt.md into Claude Code in an empty folder — it scaffolds the thin portal. Then build check by check with reference/stage-prompts.md, one prompt per stage, each a visible win.

The architecture (deliberately thin)

  • No database. Zernio is the record: GET /v1/profiles lists your clients, accounts live under each profile, GET /v1/posts is the queue. A local clients.json (name → profileId) is the only state, and even that is optional.
  • No auth in the starter. Each client gets an unlisted connect link. In production you put your existing login in front (Supabase, Clerk, whatever you run) — one line of honesty, zero extra stages.
  • One tiny server. Node + Express, ~200 lines. It exists for two reasons only: the API key stays server-side, and webhooks need a public URL. Deploy anywhere that gives you a URL (Railway, Render, Fly).
  • Two pages. The agency dashboard (clients + accounts + flags) and the client's branded connect page. More pages = a different project.

The endpoints that carry each check

  1. CONNECT — GET /v1/connect/{platform}?profileId=…&headless=true& redirect_url={yours} → returns the platform's own OAuth authUrl; POST /v1/connect/{platform} (code, state, profileId) completes it. Platforms that need a page/org selection expose selection endpoints — render that step under your brand too.
  2. WORKSPACES — POST /v1/profiles per client. Accounts belong to exactly one profile; cross-profile access returns 403.
  3. POST — the create-post endpoint, scoped to the client's accounts. One request, per-platform captions, native upload.
  4. WEBHOOKS — POST /v1/webhooks for account.connected, account.disconnected, post.failed. Verify X-Zernio-Signature (HMAC-SHA256) before trusting a payload.
  5. NOTHING — there is no endpoint for check 5. That's the point.

Growing past the starter (optional depth)

The same two pages grow into a real product as tabs on each client's workspace, still reading live from the API: the unified inbox (/v1/inbox/conversations + comments), analytics + a client report (/v1/analytics?profileId=…, daily-metrics, best-time — render it printable under your brand), and the content queue (/v1/posts + retry / edit / unpublish, scheduled posting). The prompts for all three are in reference/stage-prompts.md under DEPTH STAGES.

Honest limits (say them out loud)

X (Twitter) requires a payment method (API pass-through costs) · request rate scales with your connected-account count · past 2,000 accounts it's an enterprise conversation · docs: https://docs.zernio.com

Make it look like a product — THE POLISH LOOP

A working portal isn't a product until the UI holds a SaaS bar. Paste reference/ui-polish-loop.md and Claude Code runs a scored loop — screenshot → score 10 categories against the standard → fix → repeat — until the dashboard passes 9+ across the board on two consecutive passes. It saves every pass's screenshots, so you get the before/after for free.

Read reference/white-label-checklist.md for the checklist as a shareable one-pager.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the White Label Blueprint AI skill do?

Build your own white-label social media tool on the Zernio API — the five checks: embedded OAuth under YOUR brand (headless connect), one isolated workspace per client (profiles), full-capability posting, webhooks for token health, and the maintenance you never build. Use when the user wants a branded portal/dashboard where THEIR clients connect social accounts and the app posts, monitors and reports for them — an agency tool, a SaaS feature, a client portal. Triggers: 'white label', 'build my own buffer', 'client portal for social', 'let clients connect their accounts', 'agency dashboard',...

Why use White Label Blueprint on TypingMind?

Because you install it once and use it with any model. White Label Blueprint is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install White Label Blueprint in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Enriquemarq1/zernio-library-skills/tree/main/.claude/skills/white-label-blueprint. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use White Label Blueprint?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with White Label Blueprint?

As many as you like. As long as a model supports skills, you can use White Label Blueprint with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the White Label Blueprint AI skill free?

Yes. It is published on GitHub by Enriquemarq1 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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