Dependency Changes logo

Dependency Changes

Community
adamentwistle
dependency-changes

Adding, upgrading, or removing dependencies — justification bar, registry-verified versions, changelog and pinned-constraint archaeology, matching package-manager and lockfile hygiene, one bump at a time, gates after. Use when adding, bumping, removing, or auditing a package; before editing package.json, pyproject.toml, Cargo.toml, go.mod, or any lockfile; on security advisories, audit/Dependabot alerts, deprecation or peer-dependency warnings, version-mismatch errors, or "update everything" requests.

Overview

Publisheradamentwistle
Repositoryfable-skills
Skill namedependency-changes
Stars
98
Forks
11
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 adamentwistle on GitHub. Read the source before you install it.

Installation

Install the Dependency Changes 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/adamentwistle/fable-skills/tree/main/dependency-changes
  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/adamentwistle/fable-skills.git /tmp/fable-skills
mkdir -p .claude/skills
cp -r /tmp/fable-skills/dependency-changes .claude/skills/dependency-changes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dependency Changes 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 Dependency Changes 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 Dependency Changes 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.

Dependency Changes

Weak dependency work types a version number from memory, runs whichever install command comes to mind, and declares success when the install exits 0. Strong dependency work queries the registry, uses the project's own package manager, changes one thing, runs the gates, and reads the lockfile diff before committing.

Adding a dependency

  1. Clear the justification bar: does the stdlib do it? Does an existing dependency (read the manifest — the codebase often already carries a lib covering 90%)? Is it small enough to write inline (a 20-line util beats a package)? Only then add.
  2. Vet it: last release date, open-issue triage, download count, license, install footprint and transitive count (npm info, pip show, cargo tree, or the equivalent). 40 transitive deps for one function is a bad trade.
  3. Use the project's package manager exactly: identify it from the lockfile present (pnpm-lock.yaml, yarn.lock, package-lock.json, uv.lock, poetry.lock, Cargo.lock, ...) and use the matching tool. Never create a second lockfile kind; never hand-edit a lockfile; respect workspace/catalog conventions in monorepos.
  4. Pin the way neighbors pin: exact vs caret vs range — copy the manifest's existing style.

Upgrading

  1. Never write a version from memory. Query the registry for the current version (npm view <pkg> version, pip index versions <pkg>, cargo search <pkg>, go list -m -versions <mod>) and read the currently installed version from the lockfile, not the manifest range. Paste both in your report.
  2. Read the changelog between installed and target — the BREAKING sections and migration guides. For a major bump, budget for API changes instead of discovering them via type errors.
  3. Check for pinned-constraint reasons before bumping. A dependency held at an old major is often deliberate. Search CLAUDE.md, README, comments, and git log -S<pkg> for the package name. "Upgrade everything" does not authorize breaking a documented pin.
  4. Check engine and peer constraints: the target's required runtime version and peer ranges against what the project runs. A peer warning in the install output is an error that has not happened yet — report it, do not scroll past it.
  5. One bump at a time (or one tightly coupled group, e.g. a framework and its plugins). A 15-package bump that breaks the build is unbisectable.
  6. Security advisories: take the smallest version delta that clears the advisory; check whether the vulnerable path is reachable in this codebase when judging urgency.

After ANY dependency change

  • Full install with the project's tool, then the full gate suite: build/typecheck, lint, tests.
  • Exercise the features that use the changed package at runtime — type-compatible is not behavior-compatible (defaults change, peer behavior shifts).
  • Read the lockfile diff: it should touch what you expect. A one-package bump that rewrites 500 lockfile lines gets explained before it gets committed.
  • Commit lockfile and manifest together, and (unless asked otherwise) separately from feature code.

Removing

Grep for every import/require AND every string reference — plugins, rc files, build configs, and CI reference packages by name. Remove, reinstall, run gates. Dead dependencies are worth removing when noticed, as their own commit.

Surface rather than push through

Typosquat-adjacent names, install scripts doing surprising work, an upgrade that forces a cascade (runtime version, framework major), a license change, or a registry version that differs from what the user asked for. These are decisions for the user, with your recommendation attached.

Report

Include: package, installed → target version with the registry query that produced it, the changelog items that affect this codebase, install warnings, gate results, what you exercised at runtime, and the lockfile diff size.

Frequently asked questions

What does the Dependency Changes AI skill do?

Adding, upgrading, or removing dependencies — justification bar, registry-verified versions, changelog and pinned-constraint archaeology, matching package-manager and lockfile hygiene, one bump at a time, gates after. Use when adding, bumping, removing, or auditing a package; before editing package.json, pyproject.toml, Cargo.toml, go.mod, or any lockfile; on security advisories, audit/Dependabot alerts, deprecation or peer-dependency warnings, version-mismatch errors, or "update everything" requests.

Why use Dependency Changes on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/adamentwistle/fable-skills/tree/main/dependency-changes. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dependency Changes?

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 Dependency Changes?

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

Is the Dependency Changes AI skill free?

Yes. It is published on GitHub by adamentwistle 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 👇