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Collection

Organization
luna-prompts
collection

Choose which SkillNote skill collection is active for this Codex project. Use when the user says "change collection", "switch skills", "use frontend skills", or "show collections".

Overview

Publisherluna-prompts
Repositoryskillnote
Skill namecollection
Stars
68
Forks
12
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by luna-prompts on GitHub. Read the source before you install it.

Installation

Install the Collection 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/luna-prompts/skillnote/tree/master/plugin-codex/skills/collection
  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/luna-prompts/skillnote.git /tmp/skillnote
mkdir -p .claude/skills
cp -r /tmp/skillnote/plugin-codex/skills/collection .claude/skills/collection
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Collection 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 Collection 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 Collection 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.

SkillNote Collection Manager

Help the user choose which skill collection syncs into this project. The choice is stored in ./.skillnote.json; the plugin's sync hook materializes that collection's skills into ./.codex/skills/ on the next prompt.

Resolve the host

bash
HOST=$(cat ~/.skillnote/host 2>/dev/null | tr -d '[:space:]'); HOST=${HOST:-localhost}
API="http://${HOST}:8082"

Step 1: Fetch collections

bash
curl -sf "${API}/v1/collections" 2>/dev/null || echo "[]"

Step 2: Present the choices

Codex has no multiple-choice tool, so present a clear numbered list in plain text and ask the user to reply with a number or name. Build the list in this order:

  1. Recommended first: if basename($PWD) (lowercased, non-alphanumerics → -) matches an existing collection name, list it first and mark it · recommended.
  2. All other existing collections as <name> — <count> skills. Mark the currently-active one (from ./.skillnote.json) with (current).
  3. Create a new collection…
  4. Skip (no skills synced)

Then ask: "Which collection should this project use? (reply with a number or name)" and wait for the reply.

Step 3: Apply the selection

Existing collection

bash
echo '{"collections": ["<SELECTED_NAME>"]}' > ./.skillnote.json
rm -f ./.codex/skills/.last-sync-time   # force an immediate re-sync on the next prompt

Tell the user: "Switched to . Your skills refresh on your next message — or type /skills after a moment."

Create a new collection

Ask for a name in plain text. Validate: must match ^[a-z0-9_-]+$, 1–128 chars, and must not contain anthropic or claude. Re-prompt once if invalid. Then:

bash
curl -sf -X POST "${API}/v1/collections" \
  -H "Content-Type: application/json" \
  -d '{"name": "<NAME>", "description": ""}'

If curl returns 409, the collection already exists — offer to activate it instead. On success, write it to ./.skillnote.json and reset the sync throttle exactly as above.

Skip

bash
echo '{"collections": []}' > ./.skillnote.json
rm -f ./.codex/skills/.last-sync-time

Tell the user: "Skipped. No skills will sync to this project."

Rules

  • Never invent collection names — only offer ones returned by the API (plus the create/skip options).
  • Keep ~12–15 skills per collection for best agent performance.
  • The user can switch anytime by saying "change collection".

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 Collection AI skill do?

Choose which SkillNote skill collection is active for this Codex project. Use when the user says "change collection", "switch skills", "use frontend skills", or "show collections".

Why use Collection on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/luna-prompts/skillnote/tree/master/plugin-codex/skills/collection. 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 Collection?

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 Collection?

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

Is the Collection AI skill free?

Yes. It is published on GitHub by luna-prompts 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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