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upgradeables

Free

Open, model-agnostic building blocks and copy-ready prompts for AI Skills, reasoning workflows, validators, and agent systems.

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Related by shared tags and keywordsagentic-toolsai-social-media-toolkitdecklet
ai-toolsagent-skillsagentsaiai-safetyai assistantautomation

Overview

Upgradeables is a repository of reusable, model-agnostic building blocks for AI work. These building blocks, called Upgradeables, are optional capabilities with defined triggers, inputs, outputs, procedure, compatibility rules, failure boundary, and tests. They can be used directly in a chat, combined into a reusable Skill, or adapted to an agent system. The repository provides multiple entry points, including a human/model router (START_HERE.md), a tiny machine router (runtime/router.json), and compact runtime cards and recipe packs. Users can start in 30 seconds by pasting a prompt into a model that can open web links, or by cloning the repository for IDE or agent use. The project also includes a local-first harness with no runtime dependencies, installable via pipx, which allows initializing and integrating Upgradeables into a project. The repository emphasizes that host and system policy always win, and Upgradeables cannot provide hidden memory, private chain-of-thought access, unavailable tools, or safety bypasses.

Pricing

Free

Detailed plans have not been confirmed in our catalog. Check the official website for current limits and billing terms.

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Prices and limits may change. Confirm the currency, billing period, seat minimum and usage caps on the official website.

Use Cases

  • Teams use Upgradeables in a chat by pasting a prompt into a model that can open web links.
  • Developers use Upgradeables to build reusable Skills by copying a prompt into a new chat.
  • Developers use Upgradeables from an IDE or agent by cloning the repository.
  • Teams install Upgradeables into a project using pipx and the upgradeables command-line tool.
  • Users query the registry to find Upgradeables by task, recipe, or search terms.
  • Contributors validate Skills locally using the provided validation script.

Features

AI assistant

Natural language interface

Workflow automation

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