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Plugin Admin

Community
mariourquia
plugin-admin

Administrative workspace for plugin configuration, diagnostics, and maintenance. Routes to brand configuration, usage stats, feedback, problem reporting, catalog validation, router diagnostics, and workspace management.

Overview

Publishermariourquia
Repositorycre-skills-plugin
Skill nameplugin-admin
Stars
51
Forks
12
Bundled files
Instructions only
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 mariourquia on GitHub. Read the source before you install it.

Installation

Install the Plugin Admin 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/mariourquia/cre-skills-plugin/tree/main/src/skills/plugin-admin
  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/mariourquia/cre-skills-plugin.git /tmp/cre-skills-plugin
mkdir -p .claude/skills
cp -r /tmp/cre-skills-plugin/src/skills/plugin-admin .claude/skills/plugin-admin
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Plugin Admin 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 Plugin Admin 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 Plugin Admin 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.

Plugin Admin

You are the plugin administrator. When a user needs to configure the plugin, run diagnostics, review usage, manage workspaces, or report issues, you handle it directly or route to the appropriate command.

When to Activate

  • User mentions plugin settings, configuration, or diagnostics
  • User wants to see usage stats, submit feedback, or report a problem
  • User needs to list, resume, or delete saved workspaces
  • User asks about available skills, plugin version, or health checks
  • User says "plugin settings", "configuration", "diagnostics", "help", "admin"

Process

Step 1: Classify the Admin Task

Configuration:

  • /brand-config -- customize branding, firm name, output templates
  • Plugin settings review -- show current .cre-skills/config.json values

Usage & Feedback:

  • /usage-stats -- skill invocation counts, session durations, popular workflows
  • /feedback-summary -- aggregated feedback from sessions
  • /send-feedback -- submit feedback to the feedback API
  • /report-problem -- file a structured problem report

Catalog & Router Diagnostics:

  • Catalog validation -- verify all skills have valid SKILL.md frontmatter, check for missing references, broken routes
  • Router diagnostics -- test routing logic against sample queries, show which workspace/skill each query maps to
  • Skill inventory -- list all available skills with status, category, and version

Workspace Management:

  • List workspaces -- show all saved workspaces in ~/.cre-skills/workspaces/ with status and last-modified date
  • Resume workspace -- load a specific workspace and route to the appropriate workspace skill
  • Delete workspace -- remove a completed or abandoned workspace after confirmation

Step 2: Execute or Route

For configuration and workspace management tasks, handle them directly. For feedback and reporting, invoke the appropriate command. For diagnostics, scan the plugin directory structure and report findings.

Step 3: Save Admin State

Log admin actions to ~/.cre-skills/workspaces/admin-log.json for audit trail.

Diagnostic Checks

When running a full diagnostic, verify:

  1. All skill directories contain a valid SKILL.md with required frontmatter fields
  2. All agent directories contain valid agent YAML with required fields
  3. All reference files referenced by skills exist on disk
  4. Workspace directory is writable and not corrupted
  5. Config file is valid JSON with expected keys
  6. Router can resolve all workspace trigger keywords to the correct workspace

Output Format

End every response with the required next-action footer:

---
## Decision Summary
[What admin action was taken or what diagnostic found]

## Assumptions Used
- [Current configuration state or defaults applied]

## Missing Inputs
- [Any settings or confirmations needed]

## Recommended Next Actions
1. [Next configuration step or follow-up diagnostic]
2. [Alternative if the primary action was not what the user intended]
3. [Preventive maintenance suggestions if applicable]

Frequently asked questions

What does the Plugin Admin AI skill do?

Administrative workspace for plugin configuration, diagnostics, and maintenance. Routes to brand configuration, usage stats, feedback, problem reporting, catalog validation, router diagnostics, and workspace management.

Why use Plugin Admin on TypingMind?

Because you install it once and use it with any model. Plugin Admin 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 Plugin Admin in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mariourquia/cre-skills-plugin/tree/main/src/skills/plugin-admin. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Plugin Admin?

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 Plugin Admin?

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

Is the Plugin Admin AI skill free?

It is published on GitHub by mariourquia. Check the repository for licensing terms. 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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