Framework logo

Framework

Organization
ai-driven-dev
framework

Owns the installation record and everything done to a project, under src/contexts/framework/ — the manifest aggregate, and the setup/install/restore/uninstall/doctor orchestration built on top of it. This is the only context allowed to reach `translate` and `distribution`; `tools` is reachable from `telemetry` too. Use when adding a use-case that touches the manifest, a setup/doctor/sync/uninstall flow, a new top-level CLI orchestration, or a launcher that runs an external binary (kanban-shaped). Do NOT use for a tool's own profile or capability classes — use `tools`. Do NOT use for the translation pipeline — use `translate`. Do NOT use for where content is fetched from — use `distribution`.

Overview

Publisherai-driven-dev
Repositoryframework
Skill nameframework
Stars
515
Forks
54
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 ai-driven-dev on GitHub. Read the source before you install it.

Installation

Install the Framework 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/ai-driven-dev/framework/tree/main/cli/.claude/skills/framework
  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/ai-driven-dev/framework.git /tmp/framework
mkdir -p .claude/skills
cp -r /tmp/framework/cli/.claude/skills/framework .claude/skills/framework
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Framework 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 Framework 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 Framework 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.

Framework

framework is what is posed on a project and the record of it: the manifest that tracks every installed file, and every flow that reads or changes that record — setup, doctor, sync (restore), uninstall, plugin install/update/remove, and the global chain orchestrators. It is the one context the dependency chain lets reach every other context but telemetry (framework → translate → tools → kernel, plus framework → distribution), because assembling what goes on disk is exactly the job that needs all three.

What goes in

ConceptLocation
The manifest aggregate and its membersdomain/manifest.ts, domain/manifest/ (tool-entry, tracked-files, merge-files, native-registrations)
A plugin's declared statedomain/plugins/ (installed-plugin, source-resolver, requested-version-policy)
The diagnosis shapedomain/doctor.ts
Setup orchestration statedomain/setup-flow.ts
A port only framework needsdomain/ports/ (manifest-repository, plugin-distribution-reader, user-source-references)
A top-level flow's orchestratorapplication/ root, or a feature subdirectory (clean/, doctor/, flows/, framework/, global/, install/, plugin/, restore/, setup/, uninstall/)
Logic needed by ≥2 top-level use-casesapplication/shared/ — never called from a command
The manifest-repository and plugin-distribution-reader adaptersinfrastructure/

How

  • A use-case class ends in UseCase, has a single async execute(options): Promise<Result>, never catches its own errors except the three carve-outs (global aggregate-error loops, cache/network fallback, typed-throw translation) — see the use-case and orchestration rules in .claude/rules/00-architecture/.
  • A use case that installs framework files saves the manifest and updates .gitignore through PostInstallPipelineUseCase. A use case that only changes the manifest (plugin add/remove, marketplace sync, restore) saves it directly. See references/post-install-pipeline.md.
  • Before writing any framework file: check fs.fileExists(path) && !manifest.isFileTracked(path). If both are true, skip the write, warn, and never add it to the manifest — never overwrite a user-owned file. See references/manifest.md.
  • A global chain orchestrator (*-all-use-case.ts) iterates every scope and must finish even if one fails: wrap one iteration in try/catch, push a typed entry to an errors[] array, and return it in the result — never let one tool's failure abort the whole run.
  • A capability-guard sub-use-case (install-agents-use-case.ts and its siblings) checks "name" in caps before dispatching to a narrowed sub-use-case in install/ — see references/post-install-pipeline.md, section "Capability sub-use-cases". These five files reach directly into tools' capability classes rather than through a declared public module; that reach is a tracked, shrinking exception in context-boundary.arch.test.ts, not a pattern to add to.
  • A launcher spawns its target, never imports it. The decision and its cost are in aidd_docs/memory/architecture.md.

Public surface

Nothing outside contexts/framework/ may import a module this context has not declared public. framework is also the context most other contexts should never see: nothing in tools, translate, or distribution may import from framework at all — the arrow only runs the other way. Check tests/architecture/context-graph.arch.test.ts before adding an edge; check context-boundary.arch.test.ts's PUBLIC_MODULES before assuming a module framework itself exposes is reachable from presentation or runtime.

How it's tested

  • tests/contexts/framework/ mirrors src/contexts/framework/ — domain models are unit-tier, use-cases against in-memory ports (tests/helpers/ports/) are unit or integration depending on whether they touch a real temp filesystem.
  • tests/e2e/ exercises full CLI invocations through runCli(); tests/golden/ snapshots a built framework tree end to end — see the test skill for tier and golden-snapshot rules.
  • A manifest version-guard change needs a fixture manifest at the boundary version, asserting the exact refusal message names the fix.

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 Framework AI skill do?

Owns the installation record and everything done to a project, under src/contexts/framework/ — the manifest aggregate, and the setup/install/restore/uninstall/doctor orchestration built on top of it. This is the only context allowed to reach `translate` and `distribution`; `tools` is reachable from `telemetry` too. Use when adding a use-case that touches the manifest, a setup/doctor/sync/uninstall flow, a new top-level CLI orchestration, or a launcher that runs an external binary (kanban-shaped). Do NOT use for a tool's own profile or capability classes — use `tools`. Do NOT use for the tra...

Why use Framework on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ai-driven-dev/framework/tree/main/cli/.claude/skills/framework. 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 Framework?

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 Framework?

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

Is the Framework AI skill free?

Yes. It is published on GitHub by ai-driven-dev 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇