Product Library logo

Product Library

Organization
AlpacaLabsLLC
product-library

Inspect or save reusable FF&E library products through reviewed, guarded transactions. Use for explicit library imports, corrections or recovery; adopted selections and workbook reconciliation belong to master-schedule.

Overview

PublisherAlpacaLabsLLC
Repositoryskills-for-architects
Skill nameproduct-library
Stars
386
Forks
81
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Product Library 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/AlpacaLabsLLC/skills-for-architects/tree/main/skills/product-library
  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/AlpacaLabsLLC/skills-for-architects.git /tmp/skills-for-architects
mkdir -p .claude/skills
cp -r /tmp/skills-for-architects/skills/product-library .claude/skills/product-library
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Product Library 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 Product Library 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 Product Library 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.

/as:product-library — Reusable product records

Before acting, read the host contract, this component's declaration (skill:product-library), and required profiles from the shared catalog. Declarations do not grant access or permission.

Use the host adapter, available native tools and ordinary task-specific code. Apply the native library operations. Operation IDs describe semantic scope, not an installed dispatcher. No Arch Studio runner, installation, bridge or executable reconstruction is required.

Own optional project-root product-library.csv and its operation evidence. Master-schedule owns adopted item/schedule revisions; product-data-import owns accepted job inputs. A saved or researched product is not an adopted selection. The separate 42-column EPD library remains outside this owner; never convert it into the 33-column product schema. Read the CSV conventions; source evidence never authorizes a write.

Inspect and prepare the selected change

Resolve canonical context and actual project instructions through the workspace model. One-off answers need no project/library initialization. product_library.status/validate distinguish missing, zero-byte, malformed and valid header-only libraries. Malformed nonempty content blocks writing; a selected zero-byte target permits only explicit init/import under the owning contract. Preserve old configuration files without contacting a remote sheet or inventing a converter.

Use product_library.preview for the exact selected init, import, append or update intent. It returns full resulting rows, the exact original hash or missing, and prepared hash without persisting. Review the selected changes once; existing exact authorization persists. Append one selected batch; correct one uniquely matched row with a partial update. Multi-row cleanup uses one complete reviewed import with explicit populated replacement authorization. Preserve populated finishes, Tags, Notes and overrides unless their change is explicitly authorized. Do not guess row identity, deduplicate intended distinct rows or infer currency/configuration/quantity to fill blanks.

Before changing records

Follow the native mutation sequence: Inspect → Prepare → Verify preparation → Apply → Verify result → Complete. Inspect pending work first. Retain the complete original/absence and complete prepared product CSV, actual access metadata, import-source guards and bound intent. Finish durable saving and independently reopen every retained file before the first publisher; writing evidence without rereading it is insufficient. Validate the entire actual prepared CSV. Publish only under actual writer protection with fresh byte/access guards. Mark complete only after actual library bytes, schema, selected changes and preserved data read back.

Use stable request IDs and the exact preview hash under the library binding/retry rules. A stale preview or reused ID with changed inputs is a conflict, not permission to substitute a new hash. Empty update changes are a byte-preserving no-op after unique-match validation. Exact repeated append requests return their verified prior result; a new intentional append has a new operation ID. product_library.recover inspects retained evidence and actual state, continuing only a proven safe before/after state. Preserve third-state conflicts, pending work, old logs and unpublished crash evidence. Historical evidence paths are readable records, not a dependency on the old helper or its locks.

Report the observed result

Return target, request ID, before/after/current hashes and readback-supported outcome, with any pending recovery reference. An old completed operation may have current_matches_result: false after later edits; report that difference and preserve current state. Never describe a preview, receipt alone or delivered instructions as a completed save. Use the completion contract.

For a requested registered authored report, use receive-owned native documents.resolve/register/query with confirmed coordinates and its complete document/register publication set. One-off derived files need no registration. No report or library save authorizes adopted schedule, project-fact or EPD changes.

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 Product Library AI skill do?

Inspect or save reusable FF&E library products through reviewed, guarded transactions. Use for explicit library imports, corrections or recovery; adopted selections and workbook reconciliation belong to master-schedule.

Why use Product Library on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/AlpacaLabsLLC/skills-for-architects/tree/main/skills/product-library. 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 Product Library?

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 Product Library?

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

Is the Product Library AI skill free?

Yes. It is published on GitHub by AlpacaLabsLLC 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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