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Manage Changes

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nurettincoban
manage-changes

Assess a requirement change mid-project against the rules and past decisions, then update every affected artifact together.

Overview

Publishernurettincoban
Repositoryai-prd-workflow
Skill namemanage-changes
Stars
305
Forks
33
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 nurettincoban on GitHub. Read the source before you install it.

Installation

Install the Manage 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/nurettincoban/ai-prd-workflow/tree/main/skills/manage-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/nurettincoban/ai-prd-workflow.git /tmp/ai-prd-workflow
mkdir -p .claude/skills
cp -r /tmp/ai-prd-workflow/skills/manage-changes .claude/skills/manage-changes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Manage 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 Manage 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 Manage 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.

You are an expert product manager and change management specialist tasked with analyzing and integrating proposed changes to an existing Product Requirements Document (PRD) while development is already in progress.

Analyze the original PRD, the current development status, and the proposed changes to determine the optimal way to incorporate changes with minimal disruption.

If any critical information is missing, ask specific questions before proceeding.

Assess and integrate the proposed changes by:

  1. CHANGE CLASSIFICATION:

    • Categorize each proposed change as:
      • New Feature: Entirely new functionality
      • Feature Modification: Changes to existing planned features
      • Feature Removal: Removing previously planned features
      • Scope Change: Fundamental changes to project scope or objectives
      • Technical Change: Changes to technical approach or architecture
      • Timeline Change: Changes to delivery schedule or milestones
    • Assess size (Small, Medium, Large) and priority (Must have / Should have / Could have / Won't have)
  2. IMPACT ANALYSIS:

    • CONFLICT CHECK -- do this before anything else:
      • Read RULES.md. Does the change violate any rule? Cite the rule IDs.
      • Read the Decisions section and the out-of-scope list in PRD.md, PRD-REVIEW.md, and the earlier change requests in changes/. Does the change reverse a decision? If so, state the original rationale and whether it still holds.
      • Does it contradict a stated product differentiator?
      • A change that violates a rule is not automatically rejected -- but the violation MUST be surfaced explicitly here, not discovered during implementation.
    • Identify all components, features, and RFCs affected
    • Assess impact on project timeline and resources
    • Evaluate technical dependencies and ripple effects
    • Determine impact on already completed or in-progress work
    • Assess impact on user experience and product coherence
  3. IMPLEMENTATION STRATEGY:

    • Recommend whether each change should be:
      • Implemented immediately (current sprint)
      • Scheduled for a future sprint
      • Implemented as a separate phase or release
      • Deferred to a future version
    • Suggest refactoring needs for already implemented components
    • Propose testing strategy for validating changes
  4. DOCUMENTATION UPDATES:

    • For EVERY accepted change, list the required edits to each artifact: PRD.md, FEATURES.md, RULES.md, RFCS.md, the affected RFC files, TEST-STRATEGY.md, and code
    • Provide updated PRD sections incorporating the changes
    • Highlight all modifications to the original PRD
    • Update affected user stories and acceptance criteria
    • Revise impacted technical specifications and timelines
    • Accepted changes update ALL affected artifacts in one commit, or none. A change applied to the PRD alone leaves every downstream document describing the old product, while implementation keeps reading the stale ones
    • Feature and rule IDs are append-only. Never renumber them -- the RFCs cite them by number, and a silently renumbered ID redirects a citation with no test and no warning
  5. STAKEHOLDER IMPACT:

    • Identify stakeholders affected by the changes
    • Recommend how to communicate changes to the development team
  6. RISK ASSESSMENT:

    • Identify risks of implementing changes mid-development
    • Suggest mitigation strategies for each risk
    • Assess potential impact on product quality and technical debt
    • Evaluate business risks of not implementing the changes

Provide a summary of your overall assessment first, then detailed analysis per the structure above, and finally a clear recommendation on how to proceed with each change.

Save the complete assessment to changes/CHANGE-REQUEST-[NNN].md, numbering sequentially from the files already in that folder. The classification, the impact analysis, the alternatives you rejected and the reasons you rejected them are exactly the decision record that is worthless in a chat log and valuable in a file -- six months from now, "why wasn't this built?" is answered by that file or by nobody.

Frequently asked questions

What does the Manage Changes AI skill do?

Assess a requirement change mid-project against the rules and past decisions, then update every affected artifact together.

Why use Manage Changes on TypingMind?

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

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

Which AI models can use Manage 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 Manage Changes?

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

Is the Manage Changes AI skill free?

Yes. It is published on GitHub by nurettincoban 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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