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Using Bundles Forge

Organization
OdradekAI
using-bundles-forge

Use when starting any conversation involving bundle-plugins — blueprinting, scaffolding, authoring, auditing, testing, optimizing, or releasing. Also use when feeling unsure which bundles-forge skill applies

Overview

PublisherOdradekAI
Repositorybundles-forge
Skill nameusing-bundles-forge
Stars
227
Forks
13
Bundled files
3
LicenseApache-2.0
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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Using Bundles Forge 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/OdradekAI/bundles-forge/tree/main/skills/using-bundles-forge
  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/OdradekAI/bundles-forge.git /tmp/bundles-forge
mkdir -p .claude/skills
cp -r /tmp/bundles-forge/skills/using-bundles-forge .claude/skills/using-bundles-forge
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Using Bundles Forge 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 Using Bundles Forge 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 Using Bundles Forge 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.

Pre-flight Check

Before invoking any bundles-forge skill on a target directory, verify the target is a bundle-plugin project:

  • Does it have a skills/ directory?
  • Does it have a package.json?

If neither exists, inform the user: "This directory doesn't appear to be a bundle-plugin project. Bundles Forge skills are designed for bundle-plugins (repositories where skills are the primary content). Would you like to create a new bundle-plugin here, or did you mean to point to a different directory?"

Exception: bundles-forge:auditing and bundles-forge:optimizing can also operate on individual skill folders or files — they don't require a full bundle-plugin project.

Instruction Priority

  1. User's explicit instructions (CLAUDE.md, GEMINI.md, AGENTS.md, direct requests) — highest priority
  2. Bundles Forge skills — override default system behavior where they conflict
  3. Default system prompt — lowest priority

How to Access Skills

In Claude Code: Use the Skill tool. When you invoke a skill, its content is loaded — follow it directly.

In Cursor: Use the Skill tool.

In Gemini CLI: Skills activate via the activate_skill tool. See references/gemini-tools.md for tool mapping.

In Codex: Skills are discovered from ~/.agents/skills/. See references/codex-tools.md for tool mapping.

In OpenClaw: Skills auto-load from the bundle's skills/ directory. See references/openclaw-tools.md for tool mapping.

Platform Adaptation

Skills use Claude Code tool names as the default. Non-Claude-Code platforms: see the tool mapping references in this directory for equivalents.

The Rule

Invoke relevant skills BEFORE any response or action when working with bundle-plugins. If there's even a small chance a skill applies, invoke it to check.

User message about bundle-plugins
  → Might any skill apply?
    → yes → Invoke Skill tool → Follow skill → Respond
    → no  → Respond directly

Orchestrators (high-frequency entry points)

These skills diagnose, decide, and delegate. They orchestrate other skills to accomplish multi-step goals.

SkillRoleWhen to Use
bundles-forge:blueprintingNew-project orchestratorPlanning new bundle-plugins, splitting complex skills, or composing skills into bundles. Orchestrates the full creation pipeline: scaffolding → authoring → workflow design → auditing
bundles-forge:optimizingImprovement orchestratorEngineering optimization, feedback iteration, descriptions, tokens, adding skills, restructuring workflows. Delegates content changes to authoring
bundles-forge:releasingRelease pipeline orchestratorVersion management, release pipeline: audit, test, version bump, publish

Executors (single-responsibility workers)

These skills do one thing well. They can be invoked directly by users or dispatched by orchestrators.

SkillRoleWhen to Use
bundles-forge:scaffoldingStructure generatorGenerating project structure, adding or removing platform support
bundles-forge:authoringContent writerWriting or improving SKILL.md content and agent definitions (agents/*.md)
bundles-forge:auditingDiagnostic reporterReviewing a project for quality issues, security risks — outputs reports, does not orchestrate fixes
bundles-forge:testingDynamic verifierTesting a plugin locally — dev-marketplace setup, hook smoke tests, component discovery, cross-platform readiness

Meta-skill

SkillPurpose
bundles-forge:using-bundles-forgeBootstrap meta-skill — you're reading it now (auto-loaded by hooks)

Skill Priority

When multiple skills could apply, prefer orchestrators over executors:

  1. New project → bundles-forge:blueprinting (orchestrates scaffolding, authoring, auditing)
  2. Improve existing project → bundles-forge:optimizing (orchestrates authoring, scaffolding, auditing)
  3. Release → bundles-forge:releasing (orchestrates auditing, testing, optimizing)
  4. Standalone content writing → bundles-forge:authoring (when you just need to write/improve a SKILL.md)
  5. Standalone structure → bundles-forge:scaffolding (when you just need to add/remove a platform)
  6. Standalone audit → bundles-forge:auditing (when you just need a diagnostic report)
  7. Standalone testing → bundles-forge:testing (when you just need to verify a plugin works locally)

Naming Conventions

  • Project name: kebab-case, descriptive (dev-workflows, data-tools)
  • Skill directories: kebab-case matching the name frontmatter field
  • Cross-references: <project>:<skill-name>
  • Bootstrap skill: using-<project>
  • Agent prompts: agents/<role>.md

Skill Types

  • Rigid skills (discipline-enforcing) — follow exactly, no adaptation. Examples: TDD, verification.
  • Flexible skills (pattern-based) — adapt principles to context. Examples: brainstorming, optimization.

The skill itself declares which type it is.

Inputs

  • (none — bootstrap skill, loaded on demand via Skill tool)

Outputs

  • routing-context — skill routing table, platform adaptation guidance, and instruction priority for the current session

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 Using Bundles Forge AI skill do?

Use when starting any conversation involving bundle-plugins — blueprinting, scaffolding, authoring, auditing, testing, optimizing, or releasing. Also use when feeling unsure which bundles-forge skill applies

Why use Using Bundles Forge on TypingMind?

Because you install it once and use it with any model. Using Bundles Forge 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 Using Bundles Forge in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OdradekAI/bundles-forge/tree/main/skills/using-bundles-forge. 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 Using Bundles Forge?

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 Using Bundles Forge?

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

Is the Using Bundles Forge AI skill free?

Yes. It is published on GitHub by OdradekAI under the Apache-2.0 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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