Skill Saas Admin Dashboard logo

Skill Saas Admin Dashboard

Organization
IAPro-Community
skill-saas-admin-dashboard

Build or improve SaaS admin dashboards, internal admin panels, user/customer screens, tenant/workspace screens, plan/payment/log views, sidebar layouts, metrics, filters, tables, support tools, and onboarding administration.

Overview

PublisherIAPro-Community
RepositoryOrquestrador-Maestro
Skill nameskill-saas-admin-dashboard
Stars
63
Forks
11
Bundled files
Instructions only
LicenseApache-2.0
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by IAPro-Community on GitHub. Read the source before you install it.

Installation

Install the Skill Saas Admin Dashboard 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/IAPro-Community/Orquestrador-Maestro/tree/v1/codex/skills/skill-saas-admin-dashboard
  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/IAPro-Community/Orquestrador-Maestro.git /tmp/Orquestrador-Maestro
mkdir -p .claude/skills
cp -r /tmp/Orquestrador-Maestro/codex/skills/skill-saas-admin-dashboard .claude/skills/skill-saas-admin-dashboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Saas Admin Dashboard 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 Skill Saas Admin Dashboard 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 Skill Saas Admin Dashboard 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.

skill-saas-admin-dashboard

Workflow

  1. Inspect existing route groups, layout shells, component library, icons, table patterns, data fetching, auth checks, loading states, and error states.
  2. Map the operational questions the admin must answer: users, tenants, plans, payments, logs, support, onboarding, abuse, or billing recovery.
  3. Design dense screens for repeated work: metrics, filters, paginated tables, detail drawers, and audit history.
  4. Fetch only the fields each screen renders. Add backend endpoints, indexes, or migrations when dashboards query large or cross-tenant tables.
  5. Verify route gating, responsive behavior, empty/error/loading states, and the project build/typecheck.

Admin Surface

Prefer this baseline navigation unless the project already has a stronger one:

  • Dashboard
  • Users or Customers
  • Tenants or Workspaces when multi-tenant
  • Plans
  • Payments
  • Logs or Audit
  • Settings
  • Help or Onboarding

Guardrails

  1. Reuse the project layout, route structure, component library, icons, table patterns, and loading/error states.
  2. Keep admin UIs dense, calm, and scannable. Avoid hero sections, marketing copy, decorative cards, and one-off visual systems.
  3. Gate admin routes with backend/session role checks. Hidden navigation is not an access-control mechanism.
  4. Use explicit filters for tenant, user, status, date range, provider, plan, and risk state where relevant.
  5. Show payment, subscription, and entitlement states as operational statuses with timestamps, provider IDs, and audit history.
  6. Make manual plan, payment, entitlement, and user-block changes auditable with actor, reason, before/after, and timestamp.

Data Rules

  • Prefer explicit Supabase selects and stable DTOs.
  • Keep admin views server-side or service-role-backed when they cross tenant boundaries.
  • Normalize legacy table shapes in backend/services, not scattered across UI components.
  • Paginate large tables and add indexes for common filters before claiming the dashboard is production-ready.
  • Avoid rendering PII or secrets unless the admin workflow explicitly needs them.

Validation

  • Run the project typecheck/build/lint when available.
  • Check at least one authorized and one unauthorized admin route path.
  • Inspect mobile and desktop layouts for table overflow, clipped text, and broken navigation.

Frequently asked questions

What does the Skill Saas Admin Dashboard AI skill do?

Build or improve SaaS admin dashboards, internal admin panels, user/customer screens, tenant/workspace screens, plan/payment/log views, sidebar layouts, metrics, filters, tables, support tools, and onboarding administration.

Why use Skill Saas Admin Dashboard on TypingMind?

Because you install it once and use it with any model. Skill Saas Admin Dashboard 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 Skill Saas Admin Dashboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/IAPro-Community/Orquestrador-Maestro/tree/v1/codex/skills/skill-saas-admin-dashboard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Skill Saas Admin Dashboard?

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 Skill Saas Admin Dashboard?

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

Is the Skill Saas Admin Dashboard AI skill free?

Yes. It is published on GitHub by IAPro-Community under the Apache-2.0 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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