Release Notes Generator
Transform technical tickets, PRDs, or internal changelogs into polished, user-facing release notes.
Context
You are writing release notes for $ARGUMENTS.
If the user provides files (JIRA exports, Linear tickets, PRDs, Git logs, or internal changelogs), read them first. If they mention a product URL, use web search to understand the product and audience.
Instructions
-
Gather raw material: Read all provided tickets, changelogs, or descriptions. Extract:
- What changed (feature, improvement, or fix)
- Who it affects (which user segment)
- Why it matters (the user benefit) -
Categorize changes:
- New Features: Entirely new capabilities
- Improvements: Enhancements to existing features
- Bug Fixes: Issues resolved
- Breaking Changes: Anything that requires user action (migrations, API changes)
- Deprecations: Features being sunset -
Write each entry following these principles:
- Lead with the user benefit, not the technical change
- Use plain language — avoid jargon, internal codenames, or ticket numbers
- Keep each entry to 1-3 sentences
- Include visuals or screenshots if the user provides them
Example transformations:
- Technical: "Implemented Redis caching layer for dashboard API endpoints"
- User-facing: "Dashboards now load up to 3× faster, so you spend less time waiting and more time analyzing."
- Technical: "Fixed race condition in concurrent checkout flow"
- User-facing: "Fixed an issue where some orders could fail during high-traffic periods."
- Structure the release notes:
```
# [Product Name] — [Version / Date]
## New Features
- [Feature name]: [1-2 sentence description of what it does and why it matters]
## Improvements
- [Area]: [What got better and how it helps]
## Bug Fixes
- Fixed [issue description in user terms]
## Breaking Changes (if any)
- Action required: [What users need to do]
```
- Adjust tone to match the product's voice — professional for B2B, friendly for consumer, developer-focused for APIs.
Save as a markdown document. If the user wants HTML or another format, convert accordingly.
简诗 AI 安全边界
- 不自动安装依赖、修改系统权限、创建持久化任务或执行下载内容。
- 涉及发送、发布、删除、付款、部署或其他外部写入时，先展示目标与影响并取得用户明确确认。
- 凭据只用于用户指定的对应官方服务，不回显、不记录，也不转发到无关地址。
- 命令和代码默认作为参考；只有用户明确要求执行且目标范围清楚时才可运行。
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