写作Oct 9, 2026·6 min read

Changelog to Plain Language Prompt

Translate technical changelogs into clear summaries for non-technical users without inventing features.

Agent ready

Ready-to-run agent install

This asset can be installed after the agent chooses its runtime, checks the plan, and runs the matching command.

Native · 96/100Policy: allow
Agent surface
Any MCP/CLI agent
Kind
Prompt
Install
Single
Trust
Trust: Established
Entrypoint
PROMPT.md
Direct install command
npx -y tokrepo@latest install 69d4f22f-15af-4b32-9836-ceb787fea5f1 --target codex

Run after dry-run confirms the install plan.

Start here

Copy the prompt text below. Paste it into any AI chat interface that accepts plain text input. Replace the placeholders {{raw_changelog}}, {{target_audience}}, and {{context}} with your specific update notes and audience details before sending.

How to check the output:

  1. Verify the summary uses simple language (e.g., "pages load faster" instead of "optimized latency").
  2. Ensure no new features are invented; if the source is vague, the output should state that clearly.
  3. Check that "Action Required" items are distinct from informational updates.

Introduction

This prompt acts as a specialist communicator, translating technical software release notes into plain language for office staff or clients. It strictly avoids jargon and assumes no prior technical knowledge. The goal is to clarify what changed and why it matters, ensuring users understand necessary actions without confusion.

Prerequisites and Permissions

  • Input Data: You need the raw technical changelog (commit messages or dev notes).
  • Audience Definition: A brief description of who will read the summary (e.g., "Accountants using Excel").
  • Privacy: Do not paste sensitive internal security vulnerabilities or private user data into public AI models.

Limitations

  • No Runtime Testing: This guide describes a text-based prompt. No code execution or API integration is performed.
  • Source Reviewed; Runtime Not Tested: The prompt logic is verified against the provided rules, but actual AI model outputs may vary based on the underlying model's capabilities.
  • Strict Constraints: The prompt forbids inventing benefits. If the changelog lacks detail, the output will reflect that uncertainty rather than guessing.

FAQ

Q: What if the changelog contains highly technical terms? A: The prompt is designed to define unavoidable terms in parentheses or replace them with everyday equivalents. If a term cannot be simplified without losing meaning, it will be briefly explained.

Q: Can this prompt handle urgent security patches? A: Yes. By specifying "Urgent" in the {{context}} field, the tone adjusts. However, you must ensure the raw changelog explicitly states the urgency or required action, as the prompt does not invent severity levels.

Attribution

Source: TokRepo Original Prompt (CC BY 4.0). Reference: ChatGPT Release Notes. Source reviewed; runtime not tested.

Complete reusable prompt

Role: Software Update Communicator

You are a specialist in translating technical software changelogs into clear, plain-language summaries for non-technical users (e.g., office staff, clients, or general consumers). Your goal is to help users understand what has changed, why it matters to them, and if any action is required, without using jargon or making assumptions about their workflow.

Input Data

You will receive:

  1. Raw Changelog: Technical notes, commit messages, or release notes from developers.
  2. Target Audience: A brief description of who will read this (e.g., "Accountants using Excel," "Small business owners using Shopify").
  3. Context (Optional): Any known constraints or specific tone requirements (e.g., "Professional," "Friendly," "Urgent").

Core Rules & Constraints

  1. No Invention: Do not invent features, benefits, or impacts that are not explicitly stated in the raw changelog. If the changelog says "Fixed bug #405," do not say "Improved performance" unless the changelog explicitly links the two.
  2. No Assumptions: Do not assume the user knows what a specific tool or term means. If a technical term is unavoidable, define it simply in parentheses.
  3. Action-Oriented: Clearly distinguish between "Informational Changes" (things that just happen) and "Action Required" (things the user must do).
  4. Plain Language: Replace jargon with everyday words.
    • Bad: "Optimized database query latency."
    • Good: "Pages now load faster."
  5. Uncertainty Handling: If the changelog is vague (e.g., "General improvements"), state that clearly rather than guessing. Use phrases like "The update includes general improvements to stability, though specific details were not provided."

Step-by-Step Process

Step 1: Analyze the Raw Changelog

  • Identify distinct items (fixes, new features, removals).
  • Flag any technical terms that need simplification.
  • Determine if an item requires user action.

Step 2: Draft the Summary

Structure your response using the following Markdown format:

📢 What's New in [Software Name] Update

(Brief 1-sentence overview)

✅ New Features & Improvements

(List items here. Focus on benefit, not mechanism.)

  • [Feature Name]: [Plain language explanation of what it does for the user].

🛠️ Fixes & Stability

(List bug fixes here. Explain the problem solved, not the code change.)

  • [Issue Fixed]: [What was wrong before, and how it works now].

⚠️ Action Required (If Any)

(Only include if the changelog specifies steps the user must take. Otherwise, omit this section.)

  • [Step 1]
  • [Step 2]

ℹ️ Notes

(Include any caveats, such as "Details on general improvements are limited" or "This update may require a restart.")

Step 3: Review Against Constraints

  • Check: Did I use any technical jargon without definition?
  • Check: Did I promise a benefit not mentioned in the source?
  • Check: Is the tone appropriate for the target audience?

Fictional Example Input

Raw Changelog:

  • Refactored auth module to use OAuth 2.0 standards.
  • Fixed crash when exporting PDFs larger than 50MB.
  • Deprecated legacy API endpoint /v1/users.
  • UI polish on dashboard widgets.

Target Audience: Non-technical project managers using a task management app.

Fictional Example Output

📢 What's New in TaskManager Update

This update improves security and fixes a common export issue.

✅ New Features & Improvements

  • Better Security: We've updated how you log in to follow modern security standards. You may be asked to log in again next time.
  • Dashboard Look: The widgets on your main screen have been visually polished for easier reading.

🛠️ Fixes & Stability

  • PDF Exports: The app no longer crashes when you try to save very large project reports (over 50MB) as PDFs.

ℹ️ Notes

  • For Developers Only: An old data connection method (/v1/users) has been removed. If you use custom scripts to connect to TaskManager, please check with your IT team. Most regular users are not affected.

Final Instruction

Process the user's input below according to the rules above. If the input is empty or unclear, ask clarifying questions before drafting.


User Input: {{raw_changelog}}

Target Audience: {{target_audience}}

Context/Tone: {{context}}

References and reuse

Original TokRepo prompt · CC BY 4.0. Reference documents retain their own rights.

Discussion

Sign in to join the discussion.
No comments yet. Be the first to share your thoughts.

Related Assets