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Claude Md Dependency Rescan

Community
alirezarezvani
claude-md-dependency-rescan

Re-detect this project's tech stack from package.json / requirements.txt / pyproject.toml / go.mod / Cargo.toml and diff it against the Tech Stack section of every CLAUDE.md. Read-only — returns added / removed / renamed dependencies, never edits.

Overview

Publisheralirezarezvani
RepositoryClaudeForge
Skill nameclaude-md-dependency-rescan
Stars
430
Forks
56
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Claude Md Dependency Rescan 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/alirezarezvani/ClaudeForge/tree/dev/skill/claude-md-dependency-rescan
  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/alirezarezvani/ClaudeForge.git /tmp/ClaudeForge
mkdir -p .claude/skills
cp -r /tmp/ClaudeForge/skill/claude-md-dependency-rescan .claude/skills/claude-md-dependency-rescan
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Claude Md Dependency Rescan 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 Claude Md Dependency Rescan 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 Claude Md Dependency Rescan 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.

CLAUDE.md Dependency Rescan (forked, read-only)

Optional explicit manifest: $ARGUMENTS (default: auto-detect all five manifest types).

Run these steps in order. Do not modify any file.

  1. Detect manifests. Look for package.json, requirements.txt, pyproject.toml, go.mod, Cargo.toml at the repo root and one level deep (workspaces/monorepos).
  2. Extract declared dependencies from each:
    • package.json → keys of dependencies and devDependencies (skip versions).
    • requirements.txt → first token of each non-comment line.
    • pyproject.toml → [project.dependencies] / [tool.poetry.dependencies] keys.
    • go.mod → module paths under require (...).
    • Cargo.toml → keys under [dependencies] / [dev-dependencies].
  3. Inventory documented deps in every CLAUDE.md (and .claude/rules/*.md): grep for the Tech Stack / Dependencies sections and the lists under them.
  4. Compute three sets per file:
    • added: in manifest but absent from this CLAUDE.md.
    • removed: documented in this CLAUDE.md but absent from manifest.
    • renamed: documented and present in manifest but spelled differently (react-router vs react-router-dom, pg vs psycopg2).
  5. Return in this exact shape:
## Dependency Rescan

Manifests detected: <list>
Total declared deps: <count>

### Per file
#### <path-to-CLAUDE.md>
- Added (in manifest, not documented): <list or "none">
- Removed (documented, not in manifest): <list or "none">
- Renamed / aliased: <list or "none">
  1. If every documented set matches its manifest, return exactly ## Dependency Rescan\n\nAll documented deps match manifests. <M> files inspected.. Do not pad.

Hard rule: do not propose specific edits — just surface the diffs. /sync-claude-md decides whether to write them.

Frequently asked questions

What does the Claude Md Dependency Rescan AI skill do?

Re-detect this project's tech stack from package.json / requirements.txt / pyproject.toml / go.mod / Cargo.toml and diff it against the Tech Stack section of every CLAUDE.md. Read-only — returns added / removed / renamed dependencies, never edits.

Why use Claude Md Dependency Rescan on TypingMind?

Because you install it once and use it with any model. Claude Md Dependency Rescan 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 Claude Md Dependency Rescan in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/alirezarezvani/ClaudeForge/tree/dev/skill/claude-md-dependency-rescan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Claude Md Dependency Rescan?

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 Claude Md Dependency Rescan?

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

Is the Claude Md Dependency Rescan AI skill free?

Yes. It is published on GitHub by alirezarezvani 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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